Search

Your search keyword '"Pathmanathan A"' showing total 4,043 results
Start Over Author "Pathmanathan A"
4,043 results on '"Pathmanathan A"'

101. Magnetic resonance imaging (MRI) guided radiotherapy for prostate cancer

Author

Pathmanathan, Angela and Huddart, R.

Subjects
Prostate Cancer--Radiotherapy, Magnetic Resonance Imaging
Abstract

Radiotherapy to the prostate involves increasingly sophisticated delivery techniques and changing fractionation schedules. Magnetic resonance imaging (MRI) guided radiotherapy allows daily adaptive replanning and can improve accuracy. Integrating an MRI scanner and linear accelerator (linac) for the MRLinac harnesses the advantages of MRI for intrafractional imaging with the potential for tumour tracking, gated treatment and adaptive radiotherapy. I initially focus on pre-clinical research to model the benefits of the addition of MRI in radiotherapy planning and treatment. I firstly examine prostate motion, as assessed by automatic tracking of fiducials, confirming previously published data on the intrafraction motion of the prostate and setting the scene for the need for adaptive radiotherapy. Further work concentrates on the stages of adaptive treatment and the challenges involved. With more data emerging on the safety and benefits of extreme hypofractionated prostate schedules, I test the feasibility of planning prostate SBRT for the MR-Linac. I assess the factors for online and real-time imaging including the optimisation of MRI sequences and autosegmentation. My final two chapters focus on the clinical MR-Linac workflow. I describe the first-in-man study 'Prostate Radiotherapy Integrated with Simulataneous MRI' (PRISM) trial, treating patients requiring radical prostate radiotherapy on the MR-Linac. There is a complex workflow involved in delivering online adaptive imaging based on the daily anatomy, which has been feasible and in the limited number of patients discussed, not associated with increased toxicity compared to standard treatment. Finally, looking ahead to the changes required to make the workflow more efficient whilst maintaining accuracy, I present data on the accuracy of treatment radiographer and automated propagated contours. This thesis takes each of these steps in turn to assess the feasibility of this novel treatment delivery, which has the potential to optimise fractionation schedules and improve target dose whilst reducing toxicity from treatment.

Published
2020

105. A rare case of ruptured appendiceal diverticulitis: A significant surgical pathology

Author

Lachlan Allan, MS, MD, Helen Pham, MPH, FRACS, Charlotte Kwik, MBBS, FRACS, and Nimalan Pathmanathan, MBBS, MMED, FRACS

Subjects
Appendiceal diverticulitis, Perforated appendix, Phlegmon, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Appendiceal diverticulitis is a rare pathology which is distinctly different to acute appendicitis and associated with higher rates of morbidity and mortality. Furthermore, diagnosis is often retrospective on histopathological analysis of appendicectomy specimens due to the atypical clinical and radiological features. Herein, we present a case of ruptured appendiceal diverticulitis in a young patient with atypical clinical features and a radiologically normal appearing appendix in close proximity to an inflammatory phlegmon. This case highlights the importance of maintaining a high clinical suspicion of surgical pathology and considering atypical diagnosis in patients with inflammatory changes in the right iliac fossa.

Published
2023
Full Text
View/download PDF

106. Exploring reasons behind UK doctors leaving the medical profession: a series of qualitative interviews with former UK doctors

Author

Iain Snelling and Arin Pathmanathan

Subjects
Medicine
Abstract

Background The retention of doctors is an important issue for the National Health Service; yet evidence suggests that the proportion of doctors wanting to leave UK medicine is increasing. Some of these doctors chose to continue their medical careers in other countries, however, some decided to leave the profession entirely.Objectives This was the first study to interview a cohort of UK doctors who have left the medical profession to embark on alternative careers. Participants were asked about the reasoning behind their decision to leave medicine.Design Qualitative study using one-to-one, semi-structured virtual interviews.Participants 17 participants, recruited via purposive sampling.Setting Zoom interviews with 17 former UK doctors who had left medicine to pursue alternative careers were conducted between February and July 2021.Findings Data were analysed using thematic analysis and the theory of work adjustment was applied to findings. The most frequently discussed reasons for leaving were associated with factors preventing participants from providing a desired level of patient care, work-life balance, a lack of support, a lack of control over working lives and the pull of alternative careers. While reasons for leaving varied between participants, all participants reported greater satisfaction in their new careers.Conclusion New careers were able to address many of the issues that caused participants to leave UK medicine. Consequently, it is important that some of the key issues raised in this study are addressed to retain more doctors in the UK medical workforce.

Published
2023
Full Text
View/download PDF

107. Non-contact Infant Sleep Apnea Detection

Author

Jayatilaka, Gihan, Weligampola, Harshana, Sritharan, Suren, Pathmanathan, Pankayraj, Ragel, Roshan, and Nawinne, Isuru

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Sleep apnea is a breathing disorder where a person repeatedly stops breathing in sleep. Early detection is crucial for infants because it might bring long term adversities. The existing accurate detection mechanism (pulse oximetry) is a skin contact measurement. The existing non-contact mechanisms (acoustics, video processing) are not accurate enough. This paper presents a novel algorithm for the detection of sleep apnea with video processing. The solution is non-contact, accurate and lightweight enough to run on a single board computer. The paper discusses the accuracy of the algorithm on real data, advantages of the new algorithm, its limitations and suggests future improvements., Comment: Gihan Jayatilaka, Harshana Weligampola and Suren Sritharan are equally contributing authors

Published
2019
Full Text
View/download PDF

108. A Decentralized Communication Policy for Multi Agent Multi Armed Bandit Problems

Author

Pankayaraj, Pathmanathan and Maithripala, D. H. S.

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

This paper proposes a novel policy for a group of agents to, individually as well as collectively, solve a multi armed bandit (MAB) problem. The policy relies solely on the information that an agent has obtained through sampling of the options on its own and through communication with neighbors. The option selection policy is based on an Upper Confidence Based (UCB) strategy while the communication strategy that is proposed forces agents to communicate with other agents who they believe are most likely to be exploring than exploiting. The overall strategy is shown to significantly outperform an independent Erd\H{o}s-R\'{e}nyi (ER) graph based random communication policy. The policy is shown to be cost effective in terms of communication and thus to be easily scalable to a large network of agents., Comment: This is the full version of a preprint that will appear in the proceedings of the 2020 European Control Conference (ECC)

Published
2019

109. Thrombotic and hemorrhagic complications of COVID-19 in adults hospitalized in high-income countries compared with those in adults hospitalized in low- and middle-income countries in an international registry

Author

Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Abrous, Amal, Absil, Lara, Acker, Andrew, Adam, Elisabeth, Adrião, Diana, Al Ageel, Saleh, Ahmed, Shakeel, Ainscough, Kate, Aisa, Tharwat, Hssain, Ali Ait, Tamlihat, Younes Ait, Akimoto, Takako, Akmal, Ernita, Akwani, Chika, Al Qasim, Eman, Alalqam, Razi, Alberti, Angela, Al-dabbous, Tala, Alegesan, Senthilkumar, Alessi, Marta, Alex, Beatrice, Alexandre, Kévin, Al-Fares, Abdulrahman, Alfoudri, Huda, Ali, Imran, Alidjnou, Kazali Enagnon, Aliudin, Jeffrey, Alkhafajee, Qabas, Allavena, Clotilde, Allou, Nathalie, Alves, João, Alves, Rita, Alves, João Melo, Cabrita, Joana Alves, Amaral, Maria, Amira, Nur, Ampaw, Phoebe, Andini, Roberto, Andréjak, Claire, Angheben, Andrea, Angoulvant, François, Ansart, Séverine, Anthonidass, Sivanesen, Antonelli, Massimo, de Brito, Carlos Alexandre Antunes, Apriyana, Ardiyan, Arabi, Yaseen, Aragao, Irene, Arancibia, Francisco, Araujo, Carolline, Arcadipane, Antonio, Archambault, Patrick, Arenz, Lukas, Arlet, Jean-Benoît, Arnold-Day, Christel, Arora, Lovkesh, Arora, Rakesh, Artaud-Macari, Elise, Aryal, Diptesh, Asensio, Angel, Ashraf, Muhammad, Assie, Jean Baptiste, Asyraf, Amirul, Atif, Minahel, Atique, Anika, Auchabie, Johann, Aumaitre, Hugues, Auvet, Adrien, Azemar, Laurène, Azoulay, Cecile, Bach, Benjamin, Bachelet, Delphine, Badr, Claudine, Baig, Nadia, Baillie, J. Kenneth, Bak, Erica, Bakakos, Agamemnon, Bakar, Nazreen Abu, Bal, Andriy, Balakrishnan, Mohanaprasanth, Balan, Valeria, Bani-Sadr, Firouzé, Barbalho, Renata, Barbosa, Nicholas Yuri, Barclay, Wendy S., Barnett, Saef Umar, Barnikel, Michaela, Barrasa, Helena, Barrelet, Audrey, Barrigoto, Cleide, Bartoli, Marie, Baruch, Joaquín, Basmaci, Romain, Basri, Muhammad Fadhli Hassin, Battaglini, Denise, Bauer, Jules, Rincon, Diego Fernando Bautista, Beane, Abigail, Bedossa, Alexandra, Hong Bee, Ker, Begum, Husna, Behilill, Sylvie, Beishuizen, Albertus, Beljantsev, Aleksandr, Bellemare, David, Beltrame, Anna, Beltrão, Beatriz Amorim, Beluze, Marine, Benech, Nicolas, Benjiman, Lionel Eric, Benkerrou, Dehbia, Bennett, Suzanne, Benny, Binny, Bento, Luís, Berdal, Jan-Erik, Bergeaud, Delphine, Bergin, Hazel, Sobrino, José Luis Bernal, Bertoli, Giulia, Bertolino, Lorenzo, Bessis, Simon, Bevilcaqua, Sybille, Bezulier, Karine, Bhatt, Amar, Bhavsar, Krishna, Bianco, Claudia, Bidin, Farah Nadiah, Singh, Moirangthem Bikram, Humaid, Felwa Bin, Kamarudin, Mohd Nazlin Bin, Bisoffi, Zeno, Bissuel, François, Bitker, Laurent, Bitton, Jonathan, Blanco-Schweizer, Pablo, Blier, Catherine, Bloos, Frank, Blot, Mathieu, Blumberg, Lucille, Boccia, Filomena, Bodenes, Laetitia, Bogaert, Debby, Boivin, Anne-Hélène, Bolaños, Isabela, Bolze, Pierre-Adrien, Bompart, François, Borges, Diogo, Borie, Raphaël, Bosse, Hans Martin, Botelho-Nevers, Elisabeth, Bouadma, Lila, Bouchaud, Olivier, Bouchez, Sabelline, Bouhmani, Dounia, Bouhour, Damien, Bouiller, Kévin, Bouillet, Laurence, Bouisse, Camile, Boureau, Anne-Sophie, Bourke, John, Bouscambert, Maude, Bousquet, Aurore, Bouziotis, Jason, Boxma, Bianca, Boyer-Besseyre, Marielle, Boylan, Maria, Bozza, Fernando Augusto, Braconnier, Axelle, Braga, Cynthia, Brandenburger, Timo, Monteiro, Filipa Brás, Brazzi, Luca, Breen, Patrick, Breen, Dorothy, Brewster, David, Brickell, Kathy, Browne, Shaunagh, Browne, Alex, Brozzi, Nicolas, Brusse-Keizer, Marjolein, Bryda, Petra, Buchtele, Nina, Buisson, Marielle, Burhan, Erlina, Burrell, Aidan, Bustos, Ingrid G., Cabie, André, Cabral, Susana, Caceres, Eder, Cadoz, Cyril, Garcês, Rui Caetano, Calligy, Kate, Calvache, Jose Andres, Camões, João, Campana, Valentine, Campbell, Paul, Campisi, Josie, Canepa, Cecilia, Cantero, Mireia, Caraux-Paz, Pauline, Cárcel, Sheila, Cardellino, Chiara Simona, Cardoso, Sofia, Cardoso, Filipe, Cardoso, Filipa, Cardoso, Nelson, Carelli, Simone, Carlier, Nicolas, Carmoi, Thierry, Carney, Gayle, Carqueja, Inês, Carret, Marie-Christine, Carrier, François Martin, Carroll, Ida, Carson, Gail, Casanova, Maire-Laure, Cascão, Mariana, Casey, Siobhan, Casimiro, José, Cassandra, Bailey, Castañeda, Silvia, Castanheira, Nidyanara, Castor-Alexandre, Guylaine, Castro, Ivo, Catarino, Ana, Catherine, François-Xavier, Cattaneo, Paolo, Cavalin, Roberta, Cavayas, Alexandros, Cervantes-Gonzalez, Minerva, Chair, Anissa, Chakveatze, Catherine, Chan, Adrienne, Chand, Meera, Chantalat Auger, Christelle, Chapplain, Jean-Marc, Charpentier, Charlotte, Chas, Julie, Chávez Iñiguez, Jonathan Samuel, Chen, Anjellica, Chen, Yih-Sharng, Chenard, Léo, Cheng, Matthew Pellan, Cheret, Antoine, Chiarabini, Thibault, Chica, Julian, Chidambaram, Suresh Kumar, Chin Tho, Leong, Chirouze, Catherine, Chiumello, Davide, Cho, Sung-Min, Cholley, Bernard, Chopin, Marie-Charlotte, Chow, Ting Soo, Chua, Hiu Jian, Chua, Jonathan, Cidade, Jose Pedro, Cisneros Herreros, José Miguel, Citarella, Barbara Wanjiru, Ciullo, Anna, Clarke, Jennifer, Clarke, Emma, Claure-Del Granado, Rolando, Clohisey, Sara, Codan, Cassidy, Cody, Caitriona, Coelho, Alexandra, Coles, Megan, Coles, Jennifer, Colin, Gwenhaël, Collins, Michael, Colombo, Sebastiano Maria, Combs, Pamela, Connolly, Jennifer, Connor, Marie, Conrad, Anne, Conway, Elaine, Cooke, Graham S., Copland, Mary, Cordel, Hugues, Corley, Amanda, Cornelis, Sabine, Cornet, Alexander Daniel, Corpuz, Arianne Joy, Cortegiani, Andrea, Corvaisier, Grégory, Costigan, Emma, Couffignal, Camille, Couffin-Cadiergues, Sandrine, Courtois, Roxane, Cousse, Stéphanie, Cregan, Rachel, Cristella, Cosimo, Croonen, Sabine, Crowl, Gloria, Crump, Jonathan, Cruz, Claudina, Cruz Bermúdez, Juan Luis, Cruz Rojo, Jaime, Csete, Marc, Cullen, Ailbhe, Cummings, Matthew, Curley, Gerard, Curlier, Elodie, Curran, Colleen, Custodio, Paula, da Silva Filipe, Ana, Da Silveira, Charlene, Dabaliz, Al-Awwab, Dagens, Andrew, Dahly, Darren, Dalton, Heidi, Dalton, Jo, Daly, Seamus, Damas, Juliana, Daneman, Nick, Daniel, Corinne, Dankwa, Emmanuelle A., Dantas, Jorge, D'Aragon, Frédérick, de Jong, Menno, de Loughry, Gillian, De Montmollin, Etienne, de Oliveira França, Rafael Freitas, de Pinho Oliveira, Ana Isabel, De Rosa, Rosanna, de Silva, Thushan, de Vries, Peter, Dean, David, Debard, Alexa, DeBenedictis, Bianca, Debray, Marie-Pierre, DeCastro, Nathalie, Dechert, William, Deconninck, Lauren, Decours, Romain, Defous, Eve, Delacroix, Isabelle, Delaveuve, Eric, Delavigne, Karen, Delfos, Nathalie M., Deligiannis, Ionna, Dell'Amore, Andrea, Delmas, Christelle, Delobel, Pierre, Delsing, Corine, Demonchy, Elisa, Denis, Emmanuelle, Deplanque, Dominique, Depuydt, Pieter, Desai, Mehul, Descamps, Diane, Desvallées, Mathilde, Dewayanti, Santi, Dhanger, Pathik, Diallo, Alpha, Diamantis, Sylvain, Dias, André, Da Silva, Fernanda Dias, Diaz, Juan Jose, Diaz, Rodrigo, Diaz, Priscila, Didier, Kévin, Diehl, Jean-Luc, Dieperink, Wim, Dimet, Jérôme, Dinot, Vincent, Diop, Fara, Diouf, Alphonsine, Dishon, Yael, Djossou, Félix, Docherty, Annemarie B., Doherty, Helen, Donnelly, Maria, Donnelly, Christl A., Donohue, Sean, Donohue, Yoann, Donohue, Chloe, Doran, Peter, Dorival, Céline, D'Ortenzio, Eric, Douglas, James Joshua, Dournon, Nathalie, Downer, Triona, Downey, Joanne, Downing, Mark, Drake, Tom, Driscoll, Aoife, Dryden, Murray, Fonseca, Claudio Duarte, Dubee, Vincent, Dubos, François, Ducancelle, Alexandre, Duculan, Toni, Dudman, Susanne, Duggal, Abhijit, Dunand, Paul, Dunning, Jake, Duplaix, Mathilde, Durante-Mangoni, Emanuele, Durham, Lucian, III, Dussol, Bertrand, Duthoit, Juliette, Duval, Xavier, Dyrhol-Riise, Anne Margarita, Ean, Sim Choon, Echeverria-Villalobos, Marco, Egan, Siobhan, Eira, Carla, El Sanharawi, Mohammed, Elapavaluru, Subbarao, Elharrar, Brigitte, Ellerbroek, Jacobien, Eloy, Philippine, Elshazly, Tarek, Enderle, Isabelle, Endo, Tomoyuki, Eng, Chan Chee, Engelmann, Ilka, Enouf, Vincent, Epaulard, Olivier, Escher, Martina, Esperatti, Mariano, Esperou, Hélène, Santo, Catarina Espírito, Esposito-Farese, Marina, Estevão, João, Etienne, Manuel, Ettalhaoui, Nadia, Everding, Anna Greti, Evers, Mirjam, Fabre, Isabelle, Fabre, Marc, Faheem, Amna, Fahy, Arabella, Fairfield, Cameron J., Faria, Pedro, Fateena, Hanan, Fatoni, Arie Zainul, Faure, Karine, Favory, Raphaël, Fayed, Mohamed, Feely, Niamh, Feeney, Laura, Fernandes, Jorge, Fernandes, Marília Andreia, Fernandes, Susana, Ferrand, François-Xavier, Devouge, Eglantine Ferrand, Ferrão, Joana, Ferraz, Mário, Ferreira, Sílvia, Ferreira, Bernardo, Ferreira, Benigno, Ferreira, Isabel, Ferriere, Nicolas, Ficko, Céline, Figueiredo-Mello, Claudia, Fiorda, Juan, Flament, Thomas, Flateau, Clara, Fletcher, Tom, Florence, Aline-Marie, Florio, Letizia Lucia, Flynn, Deirdre, Foley, Claire, Foley, Jean, Fonseca, Tatiana, Forsyth, Simon, Foster, Denise, Foti, Giuseppe, Fourn, Erwan, Fowler, Robert A., Fraher, Marianne, Franch-Llasat, Diego, Fraser, John F., Fraser, Christophe, Freire, Marcela Vieira, Ribeiro, Ana Freitas, Fritz, Ricardo, Fry, Stéphanie, Fuentes, Nora, Fukuda, Masahiro, Gaborieau, Valérie, Gaci, Rostane, Gagliardi, Massimo, Gagnard, Jean-Charles, Gagneux-Brunon, Amandine, Gaião, Sérgio, Skeie, Linda Gail, Gallagher, Phil, Gamble, Carrol, Gani, Yasmin, Garan, Arthur, Garcia, Rebekha, Barrio, Noelia García, Garcia-Gallo, Esteban, Garot, Denis, Garrait, Valérie, Gault, Nathalie, Gavin, Aisling, Gavrylov, Anatoliy, Gaymard, Alexandre, Gebauer, Johannes, Geraud, Eva, Morlaes, Louis Gerbaud, Germano, Nuno, Ghosn, Jade, Giani, Marco, Gibson, Jess, Gigante, Tristan, Gilg, Morgane, Gilroy, Elaine, Giordano, Guillermo, Girvan, Michelle, Gissot, Valérie, Glikman, Daniel, Gnall, Eric, Goehringer, François, Goepel, Siri, Goffard, Jean-Christophe, Goh, Jin Yi, Golob, Jonathan, Gómez-Junyent, Joan, Gominet, Marie, Gonzalez, Alicia, Gordon, Patricia, Gorenne, Isabelle, Gormley, Conor, Goubert, Laure, Goujard, Cécile, Goulenok, Tiphaine, Grable, Margarite, Graf, Jeronimo, Grandin, Edward Wilson, Granier, Pascal, Grasselli, Giacomo, Green, Christopher A., Greene, Courtney, Greenhalf, William, Greffe, Segolène, Grieco, Domenico Luca, Griffee, Matthew, Griffiths, Fiona, Grigoras, Ioana, Groenendijk, Albert, Gruner, Heidi, Gu, Yusing, Guedj, Jérémie, Guego, Martin, Guellec, Dewi, Guerreiro, Daniela, Guery, Romain, Guillaumot, Anne, Guilleminault, Laurent, de Castro, Maisa Guimarães, Guimard, Thomas, Haalboom, Marieke, Haber, Daniel, Habraken, Hannah, Hachemi, Ali, Hadri, Nadir, Hakak, Sheeba, Hall, Adam, Hall, Matthew, Halpin, Sophie, Hamer, Ansley, Hamidfar, Rebecca, Hammond, Terese, Hammond, Naomi, Han, Lim Yuen, Haniffa, Rashan, Hao, Kok Wei, Hardwick, Hayley, Harrison, Ewen M., Harrison, Janet, Ekow Harrison, Samuel Bernard, Hartman, Alan, Hashmi, Junaid, Hayes, Ailbhe, Hays, Leanne, Heerman, Jan, Heggelund, Lars, Hendry, Ross, Hennessy, Martina, Henriquez-Trujillo, Aquiles, Hentzien, Maxime, Hernandez, Diana, Hernandez-Montfort, Jaime, Hershey, Andrew, Hesstvedt, Liv, Higgins, Eibhlin, Higgins, Dawn, Higgins, Rupert, Hinchion, Rita, Hinton, Samuel, Hiraiwa, Hiroaki, Hitoto, Hikombo, Ho, Antonia, Ho, Yi Bin, Hoctin, Alexandre, Hoffmann, Isabelle, Hoh, Wei Han, Hoiting, Oscar, Holt, Rebecca, Holter, Jan Cato, Horby, Peter, Horcajada, Juan Pablo, Hoshino, Koji, Houas, Ikram, Hough, Catherine L., Houltham, Stuart, Ming-Yang Hsu, Jimmy, Hulot, Jean-Sébastien, Hurd, Abby, Ijaz, Samreen, Ikram, M. Arfan, Illes, Hajnal-Gabriela, Imbert, Patrick, Inácio, Hugo, Infante Dominguez, Carmen, Ing, Yun Sii, Iosifidis, Elias, Ippolito, Mariachiara, Isgett, Sarah, Isidoro, Tiago, Ismail, Nadiah, Isnard, Margaux, Itai, Junji, Ivulich, Daniel, Jaafar, Danielle, Jaafoura, Salma, Jabot, Julien, Jackson, Clare, Janes, Victoria, Jaquet, Pierre, Jassat, Waasila, Jaud-Fischer, Coline, Jaureguiberry, Stéphane, Jaworsky, Denise, Jego, Florence, Jelani, Anilawati Mat, Jenum, Synne, Jimbo-Sotomayor, Ruth, Joe, Ong Yiaw, Jorge García, Ruth N., Joseph, Cédric, Joseph, Mark, Jourdain, Mercé, Jouvet, Philippe, Jung, Anna, Jung, Hanna, Juzar, Dafsah, Kafif, Ouifiya, Kaguelidou, Florentia, Kaisbain, Neerusha, Kaleesvran, Thavamany, Kali, Sabina, Kalomoiri, Smaragdi, Ayadi Kamaluddin, Muhammad Aisar, Che Kamaruddin, Zul Amali, Kamarudin, Nadiah, Kandamby, Darshana Hewa, Kandel, Chris, Kang, Kong Yeow, Karpayah, Pratap, Kartsonaki, Christiana, Kasugai, Daisuke, Kataria, Anant, Katz, Kevin, Kaur, Aasmine, Kay, Christy, Kayyali, Lamees, Keane, Hannah, Keating, Seán, Kelly, Claire, Kelly, Yvelynne, Kelly, Andrea, Kelly, Niamh, Kelly, Aoife, Kelly, Sadie, Kelsey, Maeve, Kennedy, Ryan, Kennon, Kalynn, Kernan, Maeve, Kerroumi, Younes, Keshav, Sharma, Khalid, Imrana, Khalil, Antoine, Khan, Coralie, Khan, Irfan, Kho, Michelle E., Khoo, Saye, Khoo, Ryan, Khoo, Denisa, Kiat, Khor How, Kida, Yuri, Kiiza, Peter, Granerud, Beathe Kiland, Kildal, Anders Benjamin, Kimmoun, Antoine, Kindgen-Milles, Detlef, King, Alexander, Kitamura, Nobuya, Klenerman, Paul, Klont, Rob, Bekken, Gry Kloumann, Knight, Stephen R., Vasconcelos, Malte Kohns, Komatsu, Mamoru, Kosgei, Caroline, Kpangon, Arsène, Krawczyk, Karolina, Krishnan, Sudhir, Krishnan, Vinothini, Kruglova, Oksana, Kumar, Deepali, Kumar, Ganesh, Vecham, Pavan Kumar, Kuriakose, Dinesh, Kurtzman, Ethan, Kutsogiannis, Demetrios, Kutsyna, Galyna, Kyriakoulis, Konstantinos, Lachatre, Marie, Lacoste, Marie, Laffey, John G., Lafhej, Nadhem, Lagrange, Marie, Laine, Fabrice, Lairez, Olivier, Lalueza, Antonio, Lambert, Marc, Lamontagne, François, Langelot-Richard, Marie, Langlois, Vincent, Lantang, Eka Yudha, Lanza, Marina, Laouénan, Cédric, Laribi, Samira, Lariviere, Delphine, Lasry, Stéphane, Launay, Odile, Laureillard, Didier, Lavie-Badie, Yoan, Law, Andy, Lawrence, Teresa, Lawrence, Cassie, Le, Minh, Le Bihan, Clément, Le Bris, Cyril, Le Falher, Georges, Le Fevre, Lucie, Le Hingrat, Quentin, Le Maréchal, Marion, Mestre, Soizic Le, Le Moal, Gwenaël, Le Moing, Vincent, Le Nagard, Hervé, LeTurnier, Paul, Leal, Ema, Santos, Marta Leal, Lee, Todd C., Lee, Su Hwan, Lee, James, Lee, Jennifer, Lee, Heng Gee, Lee, Biing Horng, Lee, Yi Lin, Leeming, Gary, Lefebvre, Bénédicte, Lefebvre, Laurent, Lefèvre, Benjamin, LeGac, Sylvie, Lelievre, Jean-Daniel, Lellouche, François, Lemaignen, Adrien, Lemee, Véronique, Lemeur, Anthony, Lemmink, Gretchen, Lene, Ha Sha, Lennon, Jenny, León, Rafael, Leone, Marc, Leone, Michela, Lepiller, Quentin, Lescure, François-Xavier, Lesens, Olivier, Lesouhaitier, Mathieu, Lester-Grant, Amy, Letrou, Sophie, Levy, Bruno, Levy, Yves, Levy-Marchal, Claire, Lewandowska, Katarzyna, L'Her, Erwan, Bassi, Gianluigi Li, Liegeon, Geoffrey, Lim, Wei Shen, Lim, Kah Chuan, Lima, Chantre, Lina, Bruno, Lina, Lim, Lind, Andreas, Lingas, Guillaume, Lion-Daolio, Sylvie, Lissauer, Samantha, Liu, Keibun, Livrozet, Marine, Lizotte, Patricia, Lolong, Navy, Loon, Leong Chee, Lopes, Diogo, Lopez-Colon, Dalia, Loschner, Anthony L., Loubet, Paul, Loufti, Bouchra, Louis, Guillame, Lourenco, Silvia, Lee Low, Lee, Lowik, Marije, Loy, Jia Shyi, Lucet, Jean-Christophe, Bermejo, Carlos Lumbreras, Luna, Carlos M., Lungu, Olguta, Luong, Liem, Luque, Nestor, Luton, Dominique, Lwin, Nilar, Lyons, Ruth, Maasikas, Olavi, Mabiala, Oryane, Machado, Moïse, Machado, Sara, Macheda, Gabriel, Madiha, Hashmi, de la Calle, Guillermo Maestro, Mahieu, Rafael, Mahy, Sophie, Maia, Ana Raquel, Maier, Lars S., Maillet, Mylène, Maitre, Thomas, Malfertheiner, Maximilian, Malik, Nadia, Mallon, Paddy, Maltez, Fernando, Malvy, Denis, Manda, Victoria, Mandelbrot, Laurent, Manetta, Frank, Mankikian, Julie, Manning, Edmund, Manuel, Aldric, Sant`Ana Malaque, Ceila Maria, Marino, Flávio, Markowicz, Samuel, Marques, Ana, Marquis, Catherine, Marsh, Brian, Marsh, Laura, Marshal, Megan, Marshall, John, Martelli, Celina Turchi, Martin, Emily, Martin-Blondel, Guillaume, Martinez, F. Eduardo, Martin-Loeches, Ignacio, Martinot, Martin, Martins, João, Martins, Ana, Martins, Nuno, Rego, Caroline Martins, Martucci, Gennaro, Martynenko, Olga, Marwali, Eva Miranda, Marzukie, Marsilla, Maslove, David, Mason, Sabina, Mat Nor, Mohd Basri, Matan, Moshe, Mathieu, Daniel, Mattei, Mathieu, Maulin, Laurence, Maxwell, Michael, Maynar, Javier, Mazzoni, Thierry, Sweeney, Lisa Mc, McArthur, Colin, McCanny, Peter, McCarthy, Anne, McCarthy, Aine, McCloskey, Colin, McConnochie, Rachael, McDermott, Sherry, McDonald, Sarah E., McElroy, Aine, McElwee, Samuel, McEneany, Victoria, McEvoy, Natalie, McGeer, Allison, McKay, Chris, McKeown, Johnny, McLean, Kenneth A., McNally, Paul, McNicholas, Bairbre, McPartlan, Elaine, Meaney, Edel, Mear-Passard, Cécile, Mechlin, Maggie, Mehkri, Omar, Mele, Ferruccio, Melo, Luis, Mendes, Joao Joao, Menon, Kusum, Mentré, France, Mentzer, Alexander J., Mercier, Emmanuelle, Mercier, Noémie, Merckx, Antoine, Mergeay-Fabre, Mayka, Mergler, Blake, Merson, Laura, Mesquita, António, Metwally, Osama, Meybeck, Agnès, Meyer, Dan, Meynert, Alison M., Meysonnier, Vanina, Meziane, Amina, Mezidi, Mehdi, Michelanglei, Céline, Michelet, Isabelle, Mihelis, Efstathia, Mihnovit, Vladislav, Miller, Jennene, Miranda-Maldonado, Hugo, Misnan, Nor Arisah, Mohamed, Tahira Jamal, Eliza Mohamed, Nik Nur, Moin, Asma, Molinos, Elena, Molloy, Brenda, Monahan, Sinead, Mone, Mary, Monteiro, Agostinho, Montes, Claudia, Montrucchio, Giorgia, Moore, Shona C., Moore, Sarah, Cely, Lina Morales, Moro, Lucia, Morton, Ben, Motherway, Catherine, Motos, Ana, Mouquet, Hugo, Perrot, Clara Mouton, Moyet, Julien, Mudara, Caroline, Muh, Ng Yong, Muhamad, Dzawani, Mullaert, Jimmy, Müller, Fredrik, Müller, Karl Erik, Murphy, Aisling, Murphy, Lorna, Murray, Patrick, Murris, Marlène, Murthy, Srinivas, Musaab, Himed, Muyandy, Gugapriyaa, Myrodia, Dimitra Melia, Nagpal, Dave, Nagrebetsky, Alex, Narasimhan, Mangala, Narayanan, Nageswaran, Nazerali-Maitland, Alasdair, Neant, Nadège, Neb, Holger, Neto, Raul, Neumann, Emily, Ng, Pauline Yeung, Ng, Wing Yiu, Nghi, Anthony, Nguyen, Duc, Choileain, Orna Ni, Leathlobhair, Niamh Ni, Nichol, Alistair D., Nitayavardhana, Prompak, Nonas, Stephanie, Mohd Noordin, Nurul Amani, Noret, Marion, Izzati Norharizam, Nurul Faten, Norman, Lisa, Noursadeghi, Mahdad, Nowinski, Adam, Nseir, Saad, Nunez, Jose I., Nyamankolly, Elsa, Brien, Fionnuala O., Callaghan, Annmarie O., O'Callaghan, Annmarie, Occhipinti, Giovanna, OConnor, Derbrenn, O'Donnell, Max, Ogston, Tawnya, Ogura, Takayuki, Oh, Tak-Hyuk, O'Halloran, Sophie, O'Hearn, Katie, Ohshimo, Shinichiro, Oliveira, João, Oliveira, Larissa, Olliaro, Piero L., Ong, David S.Y., Ong, Jee Yan, Oosthuyzen, Wilna, Opavsky, Anne, Openshaw, Peter, Orozco-Chamorro, Claudia Milena, Ortoleva, Jamel, Osatnik, Javier, O'Shea, Linda, O'Sullivan, Miriam, Othman, Siti Zubaidah, Ouamara, Nadia, Ouissa, Rachida, Oziol, Eric, Pagadoy, Maïder, Pages, Justine, Palacios, Amanda, Palmarini, Massimo, Panarello, Giovanna, Panda, Prasan Kumar, Pang, Lai Hui, Panigada, Mauro, Pansu, Nathalie, Papadopoulos, Aurélie, Parke, Rachael, Pasquier, Jérémie, Pastene, Bruno, Patauner, Fabian, Pathmanathan, Mohan Dass, Patrão, Luís, Patricio, Patricia, Patrier, Juliette, Patterson, Lisa, Paul, Christelle, Paul, Mical, Paulos, Jorge, Paxton, William A., Payen, Jean-François, Peake, Sandra L., Peariasamy, Kalaiarasu, Jiménez, Miguel Pedrera, Peek, Giles J., Peelman, Florent, Peiffer-Smadja, Nathan, Peigne, Vincent, Pejkovska, Mare, Pelosi, Paolo, Peltan, Ithan D., Pereira, Rui, Perez, Daniel, Periel, Luis, Perpoint, Thomas, Pesenti, Antonio, Pestre, Vincent, Petrou, Lenka, Petrovic, Michele, Petrov-Sanchez, Ventzislava, Pettersen, Frank Olav, Peytavin, Gilles, Pharand, Scott, Picard, Walter, Picone, Olivier, de Piero, Maria, Pierobon, Carola, Piersma, Djura, Pimentel, Carlos, Pinto, Raquel, Piquard, Valentine, Pires, Catarina, Pironneau, Isabelle, Piroth, Lionel, Piubelli, Chiara, Pius, Riinu, Plantier, Laurent, Png, Hon Shen, Poissy, Julien, Pokeerbux, Ryadh, Poli, Sergio, Pollakis, Georgios, Ponscarme, Diane, Porto, Diego Bastos, Post, Andra-Maris, Postma, Douwe F., Povoa, Pedro, Póvoas, Diana, Powis, Jeff, Prapa, Sofia, Preau, Sébastien, Prebensen, Christian, Preiser, Jean-Charles, Prinssen, Anton, Pritchard, Mark G., Proença, Lucia, Pudota, Sravya, Puéchal, Oriane, Semedi, Bambang Pujo, Purcell, Gregory, Quesada, Luisa, González, Víctor Quirós, Quist-Paulsen, Else, Quraishi, Mohammed, Qutishat, Fadi, Rabaud, Christian, Rafael, Aldo, Rafiq, Marie, Rahman, Rozanah Abd, Haji Ab Rahman, Ahmad Kashfi, Rainieri, Fernando, Rajahram, Giri Shan, Ramakrishnan, Nagarajan, Ramalho, José, Ramli, Ahmad Afiq, Rammaert, Blandine, Ramos, Grazielle Viana, Ranjan, Ritika, Rapp, Christophe, Rasmin, Menaldi, Rätsep, Indrek, Ravi, Tharmini, Real, Andre, Rebaudet, Stanislas, Redl, Sarah, Reeve, Brenda, Reid, Liadain, Reikvam, Dag Henrik, Reis, Renato, Rello, Jordi, Remppis, Jonathan, Remy, Martine, Ren, Hongru, Renk, Hanna, Resseguier, Anne-Sophie, Revest, Matthieu, Rewa, Oleksa, Reyes, Tiago, Reyes, Luis Felipe, Ribeiro, Maria Ines, Richardson, David, Richardson, Denise, Richier, Laurent, Atikah Ahmad Ridzuan, Siti Nurul, Rios, Ana L., Rishu, Asgar, Rispal, Patrick, Risso, Karine, Rizer, Nicholas, Robba, Chiara, Roberto, André, Roberts, Stephanie, Robertson, David L., Robineau, Olivier, Roche-Campo, Ferran, Rodari, Paola, Rodeia, Simão, Roessler, Bernhard, Roger, Pierre-Marie, Roger, Claire, Roilides, Emmanuel, Rojek, Amanda, Romaru, Juliette, Roncon-Albuquerque, Roberto, Jr., Roriz, Mélanie, Rosa-Calatrava, Manuel, Rose, Michael, Rosenberger, Dorothea, Rossanese, Andrea, Rossetti, Matteo, Rossignol, Bénédicte, Rossignol, Patrick, Rousset, Stella, Roy, Carine, Roze, Benoît, Russell, Clark D., Ryan, Maria, Ryan, Maeve, Ryckaert, Steffi, Holten, Aleksander Rygh, Saba, Isabela, Sadat, Musharaf, Sahraei, Valla, Saint-Gilles, Maximilien, Sakiyalak, Pranya, Salazar, Leonardo, Sales, Gabriele, Sallaberry, Stéphane, Gandonniere, Charlotte Salmon, Salvator, Hélène, Sanchez, Olivier, Sanchez, Emely, Sanchez-Miralles, Angel, Sancho-Shimizu, Vanessa, Sandhu, Gyan, Sandhu, Zulfiqar, Sandrine, Pierre-François, Sandulescu, Oana, Santos, Marlene, Sarfo-Mensah, Shirley, Sarmento Banheiro, Bruno, Sarmiento, Iam Claire E., Sarton, Benjamin, Satyapriya, Sree, Satyawati, Rumaisah, Saviciute, Egle, Savvidou, Parthena, Saw, Yen Tsen, Schaffer, Justin, Schermer, Tjard, Scherpereel, Arnaud, Schneider, Marion, Schroll, Stephan, Schwameis, Michael, Scicluna, Brendan, Scott, Janet T., Scott-Brown, James, Sedillot, Nicholas, Seitz, Tamara, Selvarajoo, Mageswari, Semaille, Caroline, Semple, Malcolm G., Senian, Rasidah Bt, Senneville, Eric, Sepulveda, Claudia, Sequeira, Filipa, Sequeira, Tânia, Neto, Ary Serpa, Balazote, Pablo Serrano, Shadowitz, Ellen, Shahidan, Syamin Asyraf, Shamsah, Mohammad, Sharjeel, Shaikh, Sharma, Pratima, Shaw, Catherine A., Shaw, Victoria, Sheenan, John Robert, Shi, Haixia, Shime, Nobuaki, Shimizu, Keiki, Shrapnel, Sally, Shum, Hoi Ping, Mohammed, Nassima Si, Siang, Ng Yong, Sibiude, Jeanne, Siddiqui, Atif, Sigfrid, Louise, Sillaots, Piret, Silva, Catarina, Silva, Rogério, Silva, Maria Joao, Lim Heng, Benedict Sim, Sin, Wai Ching, Singh, Punam, Singh, Budha Charan, Sitompul, Pompini Agustina, Sivam, Karisha, Skogen, Vegard, Smith, Sue, Smood, Benjamin, Smyth, Coilin, Smyth, Michelle, Snacken, Morgane, So, Dominic, Soh, Tze Vee, Solomon, Joshua, Solomon, Tom, Somers, Emily, Sommet, Agnès, Song, Rima, Song, Myung Jin, Song, Tae, Chia, Jack Song, Sonntagbauer, Michael, Soom, Azlan Mat, Sotto, Albert, Soum, Edouard, Sousa, Marta, Sousa, Ana Chora, Uva, Maria Sousa, Souza-Dantas, Vicente, Sperry, Alexandra, Spinuzza, Elisabetta, Sriskandan, Shiranee, Stabler, Sarah, Staudinger, Thomas, Stecher, Stephanie-Susanne, Steinsvik, Trude, Stienstra, Ymkje, Stiksrud, Birgitte, Stolz, Eva, Stone, Amy, Streinu-Cercel, Adrian, Streinu-Cercel, Anca, Stuart, Ami, Stuart, David, Su, Richa, Suen, Jacky Y., Suen, Gabriel, Sukumar, Prasanth, Sultana, Asfia, Summers, Charlotte, Supic, Dubravka, Suppiah, Deepashankari, Surovcová, Magdalena, Syahrin, Sarah, Syrigos, Konstantinos, Sztajnbok, Jaques, Szuldrzynski, Konstanty, Tabrizi, Shirin, Taccone, Fabio S., Tagherset, Lysa, Taib, Shahdattul Mawarni, Taleb, Sara, Talsma, Jelmer, Tampubolon, Maria Lawrensia, Tan, Kim Keat, Tan, Yan Chyi, Tanaka, Hiroyuki, Tanaka, Taku, Taniguchi, Hayato, Tardivon, Coralie, Tattevin, Pierre, Taufik, M. Azhari, Tawfik, Hassan, Tedder, Richard S., Tee, Tze Yuan, Teixeira, João, Tejada, Sofia, Tellier, Marie-Capucine, Teoh, Sze Kye, Teotonio, Vanessa, Téoulé, François, Terpstra, Pleun, Terrier, Olivier, Terzi, Nicolas, Tessier-Grenier, Hubert, Tey, Adrian, Mohd Thabit, Alif Adlan, Tham, Zhang Duan, Thangavelu, Suvintheran, Theron, Elmi, Thibault, Vincent, Thiberville, Simon-Djamel, Thill, Benoît, Thirumanickam, Jananee, Thompson, Shaun, Thomson, David, Thomson, Emma C., Thorpe, Mathew, Thanga Thurai, Surain Raaj, Thwaites, Ryan S., Tierney, Paul, Tieroshyn, Vadim, Timsit, Jean-François, Tissot, Noémie, Toal, Fiona, Yang Toh, Jordan Zhien, Toki, Maria, Tonby, Kristian, Tonnii, Sia Loong, Torre, Marta, Torres, Margarida, Torres, Antoni, Torres-Zevallos, Hernando, Towers, Michael, Trapani, Tony, Trioux, Théo, Tromeur, Cécile, Trontzas, Ioannis, Trouillon, Tiffany, Truong, Jeanne, Tual, Christelle, Tubiana, Sarah, Tuite, Helen, Turgeon, Alexis F., Turmel, Jean-Marie, Turtle, Lance C.W., Tveita, Anders, Twardowski, Pawel, Uchiyama, Makoto, Udy, Andrew, Ullrich, Roman, Uribe, Alberto, Usman, Asad, Uyeki, Timothy M., Vajdovics, Cristinava, Val-Flores, Luís, Valran, Amélie, Van de Velde, Stijn, van den Berge, Marcel, Van der Feltz, Machteld, van der Palen, Job, van der Valk, Paul, Van Der Vekens, Nicky, Van der Voort, Peter, Van Der Werf, Sylvie, van Gulik, Laura, Van Hattem, Jarne, van Netten, Carolien, van Someren Gréve, Frank, van Veen, Ilonka, Van Willigen, Hugo, Vanel, Noémie, Vanoverschelde, Henk, Varghese, Pooja, Varrone, Michael, Vasudayan, Shoban Raj, Vauchy, Charline, Veeran, Shaminee, Veislinger, Aurélie, Vencken, Sebastian, Ventura, Sara, Verbon, Annelies, Vidal, José Ernesto, Vieira, César, Villanueva, Joy Ann, Villar, Judit, Villeneuve, Pierre-Marc, Villoldo, Andrea, Visseaux, Benoit, Visser, Hannah, Vitiello, Chiara, Vonkeman, Harald, Vuotto, Fanny, Wahab, Noor Hidayu, Wahab, Suhaila Abdul, Wahid, Nadirah Abdul, Wainstein, Marina, Walsh, Laura, Wang, Chih-Hsien, Webb, Steve, Wei, Jia, Weil, Katharina, Wen, Tan Pei, Wesselius, Sanne, Wham, Murray, Whelan, Bryan, White, Nicole, Wicky, Paul Henri, Wiedemann, Aurélie, Wijaya, Surya Otto, Wille, Keith, Willems, Sue, Williams, Bailey, Williams, Virginie, Williams, Patricia J., Wils, Evert-Jan, Wittman, Jessica, Wong, Calvin, Wong, Xin Ci, Wong, Yew Sing, Wong, Teck Fung, Xian, Gan Ee, Xian, Lim Saio, Kuan, Pei Xuan, Xynogalas, Ioannis, Binti Mohd Yakop, Siti Rohani, Yamazaki, Masaki, Yarad, Elizabeth, Yazdanpanah, Yazdan, Liang Hing, Nicholas Yee, Yelnik, Cécile, Yeoh, Chian Hui, Yerkovich, Stephanie, Yokoyama, Toshiki, Yonis, Hodane, Yousif, Obada, Zaaqoq, Akram, Zabbe, Marion, Zacharowski, Kai, Zahid, Masliza, Zahran, Maram, Binti Zaidan, Nor Zaila, Zambon, Maria, Zambrano, Miguel, Zanella, Alberto, Zaynah, Nurul, Zayyad, Hiba, Zoufaly, Alexander, Zucman, David, Griffee, Matthew J., Bozza, Patricia T., Eddington, Devin P., Fanning, Jonathon P., Alexander, Peta M.A., and Fraser, John

Published
2023
Full Text
View/download PDF

112. Mutational Profiling of Lung Cancer Using Next Generation Sequencing: A Malaysian Real-World Clinical Diagnostic Experience

Author

Pathmanathan Rajadurai, Ning Yi Yap, Saira Bahnu Mohamed Yousoof, and Yoke Kqueen Cheah

Subjects
lung cancer, next generation sequencing, EGFR, actionable mutation, Pathology, RB1-214
Abstract

Lung cancer is one of the most common cancers and a leading cause of cancer-related mortality in Malaysia. This analysis aimed to evaluate the prevalence of actionable and common mutations, as well as co-mutations frequently occurring with EGFR variants in lung cancer. Mutational profiling of lung tumour samples was performed using next generation sequencing (NGS) panels at the Subang Jaya Medical Centre laboratory. A total of 469 lung tumour samples referred from several medical facilities in Malaysia were analysed and 84% were of the adenocarcinoma subtype. The three most frequent mutations found were EGFR (46.5%), TP53 (37.5%) and KRAS (14.3%). Actionable mutations with approved drug targets for lung cancer were detected in 63.5% of patient samples. Among patients with EGFR mutations, deletions in exon 19 were detected in 44.5% and p.L858R in 38.5% of samples. The most common co-mutations for samples with EGFR mutations were found in the TP53 gene (38.1%). A median turnaround time (TAT) of 3 working days was achievable with an automated NGS platform. NGS testing can provide valuable information on the mutational landscape and the prevalence of common or actionable mutations present in lung cancer patients. This real-world experience demonstrates the high percentage of actionable mutations detected and highlights the value of NGS testing in a clinical diagnostic setting.

Published
2023
Full Text
View/download PDF

113. Religion and Management: Redefining God's Kingdom Management for Human Resources Post COVID-19

Author

Halim Wiryadinata, Suwarto Adi, Christar Arstilo Rumbay, and Joseph Winston Napoleon Pathmanathan

Subjects
god's kingdom, human resource, management, religion, Philosophy. Psychology. Religion, Philosophy of religion. Psychology of religion. Religion in relation to other subjects, BL51-65
Abstract

This research analyzes the shifting of management of God's Kingdom to focus on saving human resources in the economic site due to COVID-19. The old paradigm of management of God's Kingdom, which is to save human resources biblically, shifts to humans from the low economic condition. This study aims to redefine the shifting of management of God's Kingdom as the form of human resources development from the economic perspective. This study systematically presents the economy's condition due to COVID-19, the Church's response to it, and the redefinition of God's Kingdom management through the descriptive qualitative method. This research confirms the redefinition of management of God's Kingdom as the Church's response to help human resources. Finally, this research aims to give out some charity programs and skill training in saving human resources in responding to the economic downward due to COVID-19.

Published
2022
Full Text
View/download PDF

114. Development and validation of a mathematical model of heart rate response to fluid perturbation

Author

Varun Kanal, Pras Pathmanathan, Jin-Oh Hahn, George Kramer, Christopher Scully, and Ramin Bighamian

Subjects
Medicine, Science
Abstract

Abstract Physiological closed-loop controlled (PCLC) medical devices monitor and automatically adjust the patient’s condition by using physiological variables as feedback, ideally with minimal human intervention to achieve the target levels set by a clinician. PCLC devices present a challenge when it comes to evaluating their performance, where conducting large clinical trials can be expensive. Virtual physiological patients simulated by validated mathematical models can be utilized to obtain pre-clinical evidence of safety and assess the performance of the PCLC medical device during normal and worst-case conditions that are unlikely to happen in a limited clinical trial. A physiological variable that plays a major role during fluid resuscitation is heart rate (HR). For in silico assessment of PCLC medical devices regarding fluid perturbation, there is currently no mathematical model of HR validated in terms of its predictive capability performance. This paper develops and validates a mathematical model of HR response using data collected from sheep subjects undergoing hemorrhage and fluid infusion. The model proved to be accurate in estimating the HR response to fluid perturbation, where averaged between 21 calibration datasets, the fitting performance showed a normalized root mean square error (NRMSE) of $$7.41 \pm 2.8 \%$$ 7.41 ± 2.8 % . The model was also evaluated in terms of model predictive capability performance via a leave-one-out procedure (21 subjects) and an independent validation dataset (6 subjects). Two different virtual cohort generation tools were used in each validation analysis. The generated envelope of virtual subjects robustly met the defined acceptance criteria, in which $$95\%$$ 95 % of the testing datasets presented simulated HR patterns that were within a deviation of 50% from the observed data. In addition, out of 16000 and 18522 simulated subjects for the leave-one-out and independent datasets, the model was able to generate at least one virtual subject that was close to the real subject within an error margin of $$9.56 \pm 3.15\%$$ 9.56 ± 3.15 % and $$11.1 \pm 1.22\%$$ 11.1 ± 1.22 % NRMSE, respectively. In conclusion, the model can generate valid virtual HR physiological responses to fluid perturbation and be incorporated into future non-clinical simulated testing setups for assessing PCLC devices intended for fluid resuscitation.

Published
2022
Full Text
View/download PDF

115. Dosimetric comparison of automatically propagated prostate contours with manually drawn contours in MRI-guided radiotherapy: A step towards a contouring free workflow?

Author

Kobika Sritharan, Alex Dunlop, Jonathan Mohajer, Gillian Adair-Smith, Helen Barnes, Douglas Brand, Emily Greenlay, Adham Hijab, Uwe Oelfke, Angela Pathmanathan, Adam Mitchell, Julia Murray, Simeon Nill, Chris Parker, Nora Sundahl, and Alison C. Tree

Subjects
MR-Linac, Prostate cancer, Auto-contouring, MRI-gRT, Adaptive radiotherapy, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background: The prostate demonstrates inter- and intra- fractional changes and thus adaptive radiotherapy would be required to ensure optimal coverage. Daily adaptive radiotherapy for MRI-guided radiotherapy can be both time and resource intensive when structure delineation is completed manually. Contours can be auto-generated on the MR-Linac via a deformable image registration (DIR) based mapping process from the reference image. This study evaluates the performance of automatically generated target structure contours against manually delineated contours by radiation oncologists for prostate radiotherapy on the Elekta Unity MR-Linac. Methods: Plans were generated from prostate contours propagated by DIR and rigid image registration (RIR) for forty fractions from ten patients. A two-dose level SIB (simultaneous integrated boost) IMRT plan is used to treat localised prostate cancer; 6000 cGy to the prostate and 4860 cGy to the seminal vesicles. The dose coverage of the PTV 6000 and PTV 4860 created from the manually drawn target structures was evaluated with each plan. If the dose objectives were met, the plan was considered successful in covering the gold standard (clinician-delineated) volume. Results: The mandatory PTV 6000 dose objective (D98% > 5580 cGy) was met in 81 % of DIR plans and 45 % of RIR plans. The SV were mapped by DIR only and for all the plans, the PTV 4860 dose objective met the optimal target (D98% > 4617 cGy). The plans created by RIR led to under-coverage of the clinician-delineated prostate, predominantly at the apex or the bladder-prostate interface. Conclusion: Plans created from DIR propagation of prostate contours outperform those created from RIR propagation. In approximately 1 in 5 DIR plans, dosimetric coverage of the gold standard PTV was not clinically acceptable. Thus, at our institution, we use a combination of DIR propagation of contours alongside manual editing of contours where deemed necessary for online treatments.

Published
2022
Full Text
View/download PDF

116. MRI-guided adaptive radiotherapy for prostate cancer: When do we need to account for intra-fraction motion?

Author

R. Lawes, H. Barnes, T. Herbert, A. Mitchell, S. Nill, U. Oelfke, A. Pathmanathan, G. Adair Smith, K. Sritharan, A. Tree, H.A. McNair, and A. Dunlop

Subjects
MR-Linac, Radiotherapy, Prostate cancer, Adapt to shape, Adapt to position, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

A shift of the daily plan can mitigate target position changes that occur between daily MR acquisition and treatment for MR-linac radiotherapy, but increases the session time. We demonstrated that our workflow strategy and decision-making process, to determine whether a subsequent shift is necessary, is appropriate.

Published
2022
Full Text
View/download PDF

118. Evaluation of therapeutic radiographer contouring for magnetic resonance image guided online adaptive prostate radiotherapy

Author

Adair Smith, Gillian, Dunlop, Alex, Alexander, Sophie E., Barnes, Helen, Casey, Francis, Chick, Joan, Gunapala, Ranga, Herbert, Trina, Lawes, Rebekah, Mason, Sarah A., Mitchell, Adam, Mohajer, Jonathan, Murray, Julia, Nill, Simeon, Patel, Priyanka, Pathmanathan, Angela, Sritharan, Kobika, Sundahl, Nora, Tree, Alison C., Westley, Rosalyne, Williams, Bethany, and McNair, Helen A.

Published
2023
Full Text
View/download PDF

119. Comorbidities Modify the Phenotype but Not the Treatment Effectiveness to Mepolizumab in Severe Eosinophilic Asthma

Author

Baraket, Melissa, Bardin, Philip, Bowden, Jeffrey J., Bowler, Simon, Chien, Jimmy, Chung, Li Ping, Grainge, Christopher, Harkness, Nicholas, Harrington, Zinta, Jenkins, Christine, Katsoulotos, Gregory P., McDonald, Vanessa M., Lee, Joy, Peters, Matthew, Reddel, Helen K., Reynolds, Paul N., Sivakumaran, Pathmanathan, Upham, John W., Wark, Peter A.B., Kritikos, Vicky, Harvey, Erin S., Stevens, Sean, Katelaris, Constance H., Langton, David, Rimmer, Janet, Farah, Claude S., Gillman, Andrew, Hew, Mark, Radhakrishna, Naghmeh, Thomas, Dennis, and Gibson, Peter G.

Published
2023
Full Text
View/download PDF

128. Waste Clay Brick Binders for Rigid Pavement Subbase and Base Concretes

Author

Migunthanna, Janitha, Rajeev, Pathmanathan, Sanjayan, Jay, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Pasindu, H. R., editor, Bandara, Saman, editor, Mampearachchi, W. K., editor, and Fwa, T. F., editor

Published
2022
Full Text
View/download PDF

129. Kinematic Variables Defining Performance of Basketball Free-Throw in Novice Children: An Information Gain and Logistic Regression Analysis

Author

Afrouzeh, Mohsen, Konukman, Ferman, Musa, Rabiu Muazu, Suppiah, Pathmanathan K., Abdul Majeed, Anwar P. P., Razman, Mohd Azraai Mohd, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Ab. Nasir, Ahmad Fakhri, editor, Ibrahim, Ahmad Najmuddin, editor, Ishak, Ismayuzri, editor, Mat Yahya, Nafrizuan, editor, Zakaria, Muhammad Aizzat, editor, and P. P. Abdul Majeed, Anwar, editor

Published
2022
Full Text
View/download PDF

130. The Application of Modified Equipment in Retention of Motor Task Performance Amongst Children of Low and High Working Memory Capacity

Author

Musa, Rabiu Muazu, Afrouzeh, Mohsen, Suppiah, Pathmanathan K., Majeed, Anwar P. P. Abdul, Afroozeh, Mohammad Sadegh, Abdullah, Mohamad Razali, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Ab. Nasir, Ahmad Fakhri, editor, Ibrahim, Ahmad Najmuddin, editor, Ishak, Ismayuzri, editor, Mat Yahya, Nafrizuan, editor, Zakaria, Muhammad Aizzat, editor, and P. P. Abdul Majeed, Anwar, editor

Published
2022
Full Text
View/download PDF

132. Parathyroid carcinoma during pregnancy: a novel pathogenic CDC73 mutation – a case report

Author

Chinthana Dematapitiya, Chiara Perera, Sivatharshiya Pathmanathan, Vindya Subasinghe, Gayani Anandagoda, Vajira Dissanayaka, Umesha Wijenayake, Preethi Dissanayake, Kavinga Gamage, Piyumi Wijewickrama, and Manilka Sumanatilleke

Subjects
Parathyroid carcinoma, CDC73 mutation, Case report, Pregnancy, PTH-dependent hypercalcemia, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Abstract Background Parathyroid carcinoma is an uncommon cause of PTH-dependent hypercalcemia. Only a handful of cases have been reported of parathyroid carcinoma during pregnancy. Case presentation Twenty-four – Year – old female presented with proximal myopathy was found to have hypercalcemia. Her serum corrected total calcium was – 15 mg/dl (8.5 – 10.3), serum phosphate – 2.3 mg/dl (2.5 – 4.5), intact PTH – 118 pg/ml (20 – 80), Vitamin D – 15 ng/ml and Urine Ca/Cr ratio – 2.1 (0.1 – 0.2). Her CECT–neck revealed a well-defined mass lesion posterior to the right lobe of the thyroid – 2.6 cm × 2.5 cm × 2.9 cm in size. She was started on vitamin D supplementation, and she underwent right lower focal parathyroidectomy. Her PTH levels normalized following surgery. Her histology revealed an atypical parathyroid adenoma. She was treated with calcium and vitamin D. Her follow up was uneventful. One year following initial surgery the patient became pregnant and at 16 weeks of POA, the patient presented with a rapidly enhancing neck mass for one week duration. Her biochemical investigations were suggestive of a recurrence of primary hyperparathyroidism. Her ultrasound scan of the neck revealed a well-defined discreate hypoechoic nodule, superior to the thyroid isthmus which was confirmed by a non-contrast MRI scan of the neck. She underwent an uncomplicated second trimester parathyroid tumour excision with normalization of post op PTH. Her histology revealed a parathyroid carcinoma with vascular and capsular invasion. Her genetic studies revealed a novel frameshift mutation of the CDC73 gene. She was treated with calcium and vitamin D supplementation and closely followed up with ionized calcium and PTH levels which were normal throughout the pregnancy. She had an uncomplicated caesarean section at a POA of 37 weeks. Currently she is twelve weeks post-partum, in remission of disease. Conclusion This case shows the importance of stringent follow up of atypical parathyroid adenoma patients, the benefit of second trimester surgery in management of hypercalcemia due to parathyroid carcinoma during pregnancy and the importance of identifying the novel CDC73 gene mutation.

Published
2022
Full Text
View/download PDF

133. Analysis and design for constant current/constant voltage multi‐coil wireless power transfer system with high EMF reduction

Author

Zhichao Luo, Mehanathan Pathmanathan, Wei Han, Shuang Nie, and Peter W. Lehn

Subjects
Electronics, TK7800-8360
Abstract

Abstract The investigation on the constant current (CC)/constant voltage (CV) charging for the electric vehicle wireless power transfer (WPT) system has been widely conducted. However, the CC/CV performance under misalignment cases has been scarcely studied especially for the multi‐coil WPT system. The resonant tank compensation methodology for the exciter‐quadrature‐repeaters (EQR) transmitter‐based multi‐coil WPT system is studied to achieve high power factor CC/CV charging with low leakage flux over ±150 mm lateral misalignment range. The EQR transmitter consists of one small exciter coil powered by a single full bridge inverter and two larger decoupled quadrature repeater coils which are magnetically coupled to the exciter coil. A variable switched capacitor is applied on the exciter side to maintain a high power factor in the CV mode. A 3‐kW experimental setup with a 200 mm nominal vertical distance was built and a three‐coil WPT system with a single large repeater coil is chosen as a comparison. Experimental results show that the EQR transmitter‐based WPT system achieves 92% coil‐to‐coil efficiency and reduces the leakage flux density by 70% compared with the existing three‐coil system in the CV mode at 150‐mm lateral misalignment.

Published
2022
Full Text
View/download PDF

134. Structural, defect, transport, and solution properties of Li2GeO3

Author

Kowthaman Pathmanathan, Poobalasuntharam Iyngaran, and Navaratnarajah Kuganathan

Subjects
Physics, QC1-999
Abstract

Development of rechargeable batteries for electronic appliances requires advancement of synthesizing new anode, cathode, and electrolyte materials. Li2GeO3 is a candidate anode material for use in lithium ion batteries owing to its fast Li-ion conductivity. Using advanced computational simulation techniques based on the classical potentials, we investigate the defect, diffusion, and dopant properties of Li2GeO3. Our simulation finds that the minimum energy defect process is the Li-Frenkel. The Li–Ge anti-site defect cluster is higher in energy by 0.45 eV than the Li-Frenkel. The long-range Li diffusion pathway is along the c-direction with an activation energy of 0.36 eV agreeing with the experimental observation. The most promising isovalent dopants on the Li and the Ge sites are the Na and the Si, respectively. Furthermore, the formation of lithium interstitials and oxygen vacancies can be experimentally verified by doping of Al3+ on the Ge site.

Published
2023
Full Text
View/download PDF

135. A computational modeling framework for pre-clinical evaluation of cardiac mapping systems

Author

Suran Galappaththige, Pras Pathmanathan, and Richard A. Gray

Subjects
cardiac mapping, computational modeling, cardiac electrophysiology, arrhythmia, regulatory science, Physiology, QP1-981
Abstract

There are a variety of difficulties in evaluating clinical cardiac mapping systems, most notably the inability to record the transmembrane potential throughout the entire heart during patient procedures which prevents the comparison to a relevant “gold standard”. Cardiac mapping systems are comprised of hardware and software elements including sophisticated mathematical algorithms, both of which continue to undergo rapid innovation. The purpose of this study is to develop a computational modeling framework to evaluate the performance of cardiac mapping systems. The framework enables rigorous evaluation of a mapping system’s ability to localize and characterize (i.e., focal or reentrant) arrhythmogenic sources in the heart. The main component of our tool is a library of computer simulations of various dynamic patterns throughout the entire heart in which the type and location of the arrhythmogenic sources are known. Our framework allows for performance evaluation for various electrode configurations, heart geometries, arrhythmias, and electrogram noise levels and involves blind comparison of mapping systems against a “silver standard” comprised of computer simulations in which the precise transmembrane potential patterns throughout the heart are known. A feasibility study was performed using simulations of patterns in the human left atria and three hypothetical virtual catheter electrode arrays. Activation times (AcT) and patterns (AcP) were computed for three virtual electrode arrays: two basket arrays with good and poor contact and one high-resolution grid with uniform spacing. The average root mean squared difference of AcTs of electrograms and those of the nearest endocardial action potential was less than 1 ms and therefore appears to be a poor performance metric. In an effort to standardize performance evaluation of mapping systems a novel performance metric is introduced based on the number of AcPs identified correctly and those considered spurious as well as misclassifications of arrhythmia type; spatial and temporal localization accuracy of correctly identified patterns was also quantified. This approach provides a rigorous quantitative analysis of cardiac mapping system performance. Proof of concept of this computational evaluation framework suggests that it could help safeguard that mapping systems perform as expected as well as provide estimates of system accuracy.

Published
2023
Full Text
View/download PDF

136. Impact of stabilisation on mechanical properties of recycled concrete aggregate mixed with waste tyre rubber as a pavement material

Author

Fatima Juveria, Pathmanathan Rajeev, Piratheepan Jegatheesan, and Jay Sanjayan

Subjects
Sustainability, Stabilisation, Compressive strength, Resilient modulus, Empirical model, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

The rising demand for the construction of pavement infrastructure creates great pressure on the production and transportation of virgin aggregates, which consumes high energy and natural resources. Therefore, the possibility of using recycled materials in pavements has generated wide interest in the growing economies of developed and developing countries. The wastes produced by construction and demolition materials such as recycled concrete aggregate (RCA) enter landfills every year. Similarly, wastes generated by end-of-life tyres are non-biodegradable and poses an environmental challenge. However, the research on the mechanical performance of waste tyre rubber (TR) in pavement applications is very limited. Therefore, finding innovative ways to incorporate these solid wastes could improve the sustainability of pavements. Meanwhile, the use of major binder (i.e., portland cement) for stabilisation of pavements contributes to carbon footprint issues. Hence, there is a need to use environmentally friendly binders such as ground granulated blast furnace slag which is a promising way to process these waste materials with significant environmental benefits. Therefore, this study investigates the feasibility of RCA and TR as a substitute for quarried pavement material, stabilised with slag (S) to improve the binding action between waste tyre rubber and surrounding aggregates. The main objective of the study was to evaluate the physical and mechanical characteristics of combined TR + RCA mixes by undertaking extensive laboratory tests. Firstly, unconfined compressive strength (UCS) test studies were conducted at 7 days of curing period at 21 °C to determine the efficacy of mixing two types of wastes by slag stabilisation at three different binder contents (10 %, 15 %, and 20 %). Subsequently, a series of resilient modulus (RLT) tests were performed to determine the stiffness of the mixes using a repeated load triaxial setup. Finally, the hydration mechanism was studied by microstructural studies (SEM) to understand the inter-particle bonding of TR + RCA mixes. It was found that stabilised mixes with 10 %TR could satisfy the minimum road requirements for pavement base layers in terms of compressive and resilient moduli characteristics. Besides, the study provided a mathematical model equation by response surface methodology to predict the values of UCS. Predicted values were found to be in good agreement with experimental values. The research offers a sustainable solution with the help of stabilisation technique in increasing the volume of combined TR + RCA wastes in pavements by satisfying road requirement criteria.

Published
2023
Full Text
View/download PDF

137. Hyperarousal features in the sleep architecture of individuals with and without insomnia

Author

Di Marco, Tobias, primary, Scammell, Thomas E., additional, Sadeghi, Kolia, additional, Datta, Alexandre N., additional, Little, David, additional, Tjiptarto, Nurkurniati, additional, Djonlagic, Ina, additional, Olivieri, Antonio, additional, Zammit, Gary, additional, Krystal, Andrew, additional, Pathmanathan, Jay, additional, Donoghue, Jacob, additional, Hubbard, Jeffrey, additional, and Dauvilliers, Yves, additional

Published
2024
Full Text
View/download PDF

139. BACTERIAL INFECTION AS AN IMPORTANT CONTRIBUTOR TO SUDDEN UNEXPECTED DEATH IN INFANTS UNDER 1-YEAR-OLD

Author

N.A. Zahaimi, S.G. Pathmanathan, B. Norazlah, R.Z. Tan, T.S. Tuan Soh, K.A. Zainun, and N.S. Rahim

Subjects
Infectious and parasitic diseases, RC109-216
Abstract

Intro: Sudden unexpected death in infants (SUDI) is one of major contributors to infant mortality worldwide and bacterial infection is a significant aetiological factor. However, worldwide and in Malaysia specifically, few studies report on post-mortem microbiological (PMM) tests in SUDI cases and the types of causative bacterial agents isolated at specific age range has not been well described. This study aimed to analyse the PMM samplings of bacterial isolates found in

Published
2023
Full Text
View/download PDF

140. 104 Safety and eighteen month efficacy of pulsed field ablation in a UK cohort

Author

Khawaja, Mikail, primary, Elyass, Mohammed, additional, Duchniewicz, Michal, additional, Paterson, Artemis, additional, Zeriouh, Sarah, additional, Starling, Zoe, additional, Kola, Fatimah, additional, Rocha, Henry, additional, Pathmanathan, Sam, additional, Chan, Will, additional, You, Jianing, additional, Mesquita, Joao, additional, Mellor, Greg, additional, Begley, David, additional, Heck, Patrick, additional, and Martin, Claire, additional

Published
2024
Full Text
View/download PDF

142. Bushfire Management Strategies: Current Practice, Technological Advancement and Challenges

Author

Sahan Bandara, Satheeskumar Navaratnam, and Pathmanathan Rajeev

Subjects
bushfire, prediction, detection, management, economic loss, fire weather, Physics, QC1-999
Abstract

Bushfires are classified as catastrophic disasters capable of inflicting significant destruction. The key detrimental consequences of bushfires include the loss of human lives, trauma within communities, economic losses and environmental damage. For example, the estimated economic loss from the September 2019 to March 2020 bushfires in New South Wales (Australia) was about AUD 110 billion, including more than 3000 burned houses. There has been a notable increase in both the frequency and intensity of bushfires, as clearly demonstrated by recent bushfire events. Bushfires are an intricate phenomenon that transpires across various spatial and temporal scales. Further, the changing circumstances of landscapes, vegetation patterns, weather conditions and ecosystems account for the complexity. Therefore, continual attention is essential for the development of bushfire management strategies. In this context, this paper undertakes a comprehensive literature review of bushfire management strategies, encompassing aspects such as bushfire prediction, detection, suppression and prevention. Based on the review, a bushfire management framework is proposed that can eliminate or successfully mitigate the consequences of bushfires. Further, the paper delves into the domains of fire weather conditions, the initiation of bushfires and the adverse consequences stemming from these fires. Both terrestrial and aerial remote sensing methods have proven to be effective in predicting and detecting bushfires. Nevertheless, a simple unique solution cannot be proposed for bushfire management. Changing weather conditions, topography and the geographic mix of asset types need to be considered when deciding on bushfire management strategies and their breadth and depth of application.

Published
2023
Full Text
View/download PDF

146. Visual-spatial dimension integration in digital pathology education enhances anatomical pathology learning

Author

Ken Lee Wan, Arkendu Sen, Lakshmi Selvaratnam, Mohd Imran Mohd Naing, Joon Joon Khoo, and Pathmanathan Rajadurai

Subjects
Anatomical pathology, Histopathology, Pathology education, Digital pathology, Three-dimensional (3D) imaging, Technology-enhanced learning, Special aspects of education, LC8-6691, Medicine
Abstract

Abstract Literature review demonstrated a surprising lack of publications on digital e-learning pathology resources for senior medical undergraduates and interns. An interactive Digital Pathology Repository (iDPR) integrating two- and three-dimensional (2D, 3D) high-resolution anatomical pathology images with correlated digital histopathology was developed. The novel iDPR was rigorously evaluated using mixed methods to assess pathology knowledge gains (pre- and post-tests), quality impact analysis (questionnaire), user feedback (focus group discussions) and user visual behaviour (eye gaze tracking analysis of 2D/ 3D images). Exposure to iDPR appeared to improve user pathology knowledge, as observed by significantly increased test scores on topic-related quizzes (n = 69, p

Published
2022
Full Text
View/download PDF

149. Validation framework for epidemiological models with application to COVID-19 models.

Author

Kimberly A Dautel, Ephraim Agyingi, and Pras Pathmanathan

Subjects
Biology (General), QH301-705.5
Abstract

Mathematical models have been an important tool during the COVID-19 pandemic, for example to predict demand of critical resources such as medical devices, personal protective equipment and diagnostic tests. Many COVID-19 models have been developed. However, there is relatively little information available regarding reliability of model predictions. Here we present a general model validation framework for epidemiological models focused around predictive capability for questions relevant to decision-making end-users. COVID-19 models are typically comprised of multiple releases, and provide predictions for multiple localities, and these characteristics are systematically accounted for in the framework, which is based around a set of validation scores or metrics that quantify model accuracy of specific quantities of interest including: date of peak, magnitude of peak, rate of recovery, and monthly cumulative counts. We applied the framework to retrospectively assess accuracy of death predictions for four COVID-19 models, and accuracy of hospitalization predictions for one COVID-19 model (models for which sufficient data was publicly available). When predicting date of peak deaths, the most accurate model had errors of approximately 15 days or less, for releases 3-6 weeks in advance of the peak. Death peak magnitude relative errors were generally in the 50% range 3-6 weeks before peak. Hospitalization predictions were less accurate than death predictions. All models were highly variable in predictive accuracy across regions. Overall, our framework provides a wealth of information on the predictive accuracy of epidemiological models and could be used in future epidemics to evaluate new models or support existing modeling methodologies, and thereby aid in informed model-based public health decision making. The code for the validation framework is available at https://doi.org/10.5281/zenodo.7102854.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results