8 results on '"Etzion, Ohad"'
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2. Liver cirrhosis in elderly patients: clinical characteristics, complications, and survival—analyses from a large retrospective study
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Abu-Freha, Naim, Estis-Deaton, Asia, Aasla, Muhammad, Etzion, Ohad, Philip, Aerin, Yardeni, David, Abo Abed, Muhammad, and Abu Tailakh, Muhammad
- Abstract
Background: Liver cirrhosis (LC) is a common disease diagnosed in all ages. With the increasing population age, LC is noticeable more in the clinics. Aim: To distinguish the clinical characteristics, complications, and survival of patients with liver cirrhosis. Methods: A retrospective study enrolled patients diagnosed with liver cirrhosis at Soroka University Medical Center. Patients with cirrhosis diagnosed at an age older than 65 years (group 1) were compared with patients diagnosed at an age younger than 65 years (group 2). Results: We included 1046 patients; 411 (39.3%) in group 1 and 635 (60.7%) in group 2. Fatty liver and cryptogenic liver disease were found to cause cirrhosis at a significantly higher rate in the elderly (23.4% vs. 13.9%, p< 0.001, 15.3% vs. 6.3%, p< 0.001, respectively). A higher rate of non-hepatocellular carcinoma cancers and mortality (17.5% vs. 9.1%, p< 0.001, 76.6% vs. 57%, respectively) was found among cirrhotic elderly patients, but a lower rate of oesophageal varices (47.7% vs. 60.1%, p= 0.002). Twenty-year follow-up Kaplan–Meier survival analysis for mortality estimated poor survival in the elderly (log-rank p< 0.001). The adjusted Cox proportional hazards regression model showed an association of age > 65 with an all-cause mortality hazard ratio of 2.26 (95% CI 1.89–2.69). Conclusion: Higher rates of fatty liver, cryptogenic cirrhosis, non-HCC cancers, and mortality were found among patients diagnosed with cirrhosis in the elderly.
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- 2022
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3. Incidence rates and clinical characteristics of primary gastrointestinal non-Hodgkin lymphoma: a population study
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Dizengof, Vitaly, Levi, Itai, Etzion, Ohad, Fich, Alexander, Blum, Avital, Chertok, Ilana R. Azulay, Ben-Yakov, Gil, Rouvio, Ory, and Greenbaum, Uri
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- 2020
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4. Obeticholic acid for the treatment of non-alcoholic steatohepatitis: interim analysis from a multicentre, randomised, placebo-controlled phase 3 trial
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Younossi, Zobair M, Ratziu, Vlad, Loomba, Rohit, Rinella, Mary, Anstee, Quentin M, Goodman, Zachary, Bedossa, Pierre, Geier, Andreas, Beckebaum, Susanne, Newsome, Philip N, Sheridan, David, Sheikh, Muhammad Y, Trotter, James, Knapple, Whitfield, Lawitz, Eric, Abdelmalek, Manal F, Kowdley, Kris V, Montano-Loza, Aldo J, Boursier, Jerome, Mathurin, Philippe, Bugianesi, Elisabetta, Mazzella, Giuseppe, Olveira, Antonio, Cortez-Pinto, Helena, Graupera, Isabel, Orr, David, Gluud, Lise Lotte, Dufour, Jean-Francois, Shapiro, David, Campagna, Jason, Zaru, Luna, MacConell, Leigh, Shringarpure, Reshma, Harrison, Stephen, Sanyal, Arun J, Abdelmalek, Manal, Abrams, Gary, Aguilar, Humberto, Ahmed, Aijaz, Aigner, Elmar, Aithal, Guruprasad, Ala, Aftab, Alazawi, William, Albillos, Agustin, Allison, Michael, Al-Shamma, Sfa, Andrade, Raul, Andreone, Pietro, Angelico, Mario, Ankoma-Sey, Victor, Anstee, Quentin, Anty, Rodolphe, Araya, Victor, Arenas Ruiz, Juan Ignacio, Arkkila, Perttu, Arora, Marty, Asselah, Tarik, Au, Jennifer, Ayonrinde, Oyekoya, Bailey, Robert James, Balakrishnan, Maya, Bambha, Kiran, Bansal, Meena, Barritt, Sidney, Bate, John, Beato, Jorge, Beckebaum, Susanne, Behari, Jaideep, Bellot, Pablo, Ben Ari, Ziv, Bennett, Michael, Berenguer, Marina, Beretta-Piccoli, Benedetta Terziroli, Berg, Thomas, Bonacini, Maurizio, Bonet, Lucia, Borg, Brian, Bourliere, Marc, Boursier, Jerome, Bowman, William, Bradley, David, Brankovic, Marija, Braun, Marius, Bronowicki, Jean-Pierre, Bruno, Savino, Bugianesi, Elisabetta, Cai, Cindy, Calderon, Amy, Calleja Panero, José Luis, Carey, Elizabeth, Carmiel, Michal, Carrión, Jose Antonio, Cave, Matthew, Chagas, Cristina, Chami, Tawfik, Chang, Alan, Coates, Allan, Cobbold, Jeremy, Costentin, Charlote, Corey, Kathleen, Corless, Lynsey, Cortez-Pinto, Helena, Crespo, Javier, Cruz Pereira, Oscar, de Ledinghen, Victor, deLemos, Andrew, Diago, Moises, Dong, Mamie, Dufour, Jean-François, Dugalic, Predrag, Dunn, Winston, Elkhashab, Magby, Epstein, Michael, Escudero-Garcia, Maria Desamparados, Etzion, Ohad, Evans, Larry, Falcone, Robert, Fernandez, Conrado, Ferreira, Jose, Fink, Scott, Finnegan, Kevin, Firpi-Morell, Roberto, Floreani, Annarosa, Fontanges, Thierry, Ford, Ryan, Forrest, Ewan, Fowell, Andrew, Fracanzani, Anna Ludovica, Francque, Sven, Freilich, Bradley, Frias, Juan, Fuchs, Michael, Fuentes, Javier, Galambos, Michael, Gallegos, Juan, Geerts, Anja, Geier, Andreas, George, Jacob, Ghali, Maged, Ghalib, Reem, Gholam, Pierre, Gines, Pere, Gitlin, Norman, Gluud, Lise Lotte, Goeser, Tobias, Goff, John, Gordon, Stuart, Gordon, Frederic, Goria, Odile, Greer, Shaun, Grigorian, Alla, Gronbaek, Henning, Guillaume, Maeva, Gunaratnam, Naresh, Halegoua-De Marzio, Dina, Hameed, Bilal, Hametner, Stephanie, Hamilton, James, Harrison, Stephen, Hartleb, Marek, Hassanein, Tarek, Häussinger, Dieter, Hellstern, Paul, Herring, Robert, Heurich, Eva, Hezode, Christophe, Hinrichsen, Holger, Holland Fischer, Peter, Horsmans, Yves, Huang, Jonathan, Hussaini, Hyder, Jakiche, Antoine, Jeffers, Lennox, Jones, Blake, Jorge, Rosa, Jorquera, Francisco, Joshi, Shoba, Kahraman, Alisan, Kaita, Kelly, Karyotakis, Nicholas, Kayali, Zeid, Kechagias, Stergios, Kepczyk, Thomas, Khalili, Mandana, Khallafi, Hicham, Kluwe, Johannes, Knapple, Whitfield, Kohli, Anita, Korenblat, Kevin, Kowdley, Kris, Krag, Aleksander, Krause, Richard, Kremer, Andreas, Krok, Karen, Krstic, Miodrag, Kugelmas, Marcelo, Kumar, Sonal, Kuwada, Scott, Labarriere, Damien, Lai, Michelle, Laleman, Wim, Lampertico, Pietro, Lawitz, Eric, Lee, Alice, Leroy, Vincent, Lidofsky, Steven, Lim, Tina Huey, Lim, Joseph, Lipkis, Donald, Little, Ester, Lonardo, Amadeo, Long, Michelle, Loomba, Rohit, Luketic, Velimir Anthony Christopher, Lurie, Yoav, Macedo, Guilherme, Magalhaes, Joana, Makara, Mihály, Maliakkal, Benedict, Manns, Michael, Manousou, Pinelopi, Mantry, Parvez, Marchesini, Giulio, Marinho, Carla, Marotta, Paul, Marschall, Hanns-Ulrich, Martinez, Linda, Mathurin, Philippe, Mayo, Marlyn, Mazzella, Giuseppe, McCullen, Mark, McLaughlin, William, Merle, Uta, Merriman, Raphael, Modi, Apurva, Molina, Esther, Montano-Loza, Aldo, Monteverde, Carlos, Morales Cardona, Amilcar, Moreea, Sulleman, Moreno, Christophe, Morisco, Filomena, Mubarak, Abdullah, Muellhaupt, Beat, Mukherjee, Sandeep, Müller, Tobias, Nagorni, Aleksandar, Naik, Jahnavi, Neff, Guy, Nevah, Moises, Newsome, Philip, Nguyen-Khac, Eric, Noureddin, Mazen, Oben, Jude, Olveira, Antonio, Orlent, Hans, Orr, David, Orr, James, Ortiz-Lasanta, Grisell, Ozenne, Violaine, Pandya, Prashant, Paredes, Angelo, Park, James, Patel, Joykumar, Patel, Keyur, Paul, Sonali, Patton, Heather, Peck-Radosavljevic, Markus, Petta, Salvatore, Pianko, Stephen, Piekarska, Anna, Pimstone, Neville, Pisegna, Joseph, Pockros, Paul, Pol, Stanislas, Porayko, Michael, Poulos, John, Pound, David, Pouzar, Joe, Presa Ramos, Jose, Pyrsopoulos, Nikolaos, Rafiq, Nila, Muller, Kate, Ramji, Alnoor, Ratziu, Vlad, Ravinuthala, Ravi, Reddy, Chakradhar, Reddy K G, Gautham, Reddy K R, K. Rajender, Regenstein, Frederic, Reindollar, Robert, Reynolds, Justin, Riera, Andres, Rinella, Mary, Rivera Acosta, Jose, Robaeys, Geert, Roberts, Stuart, Rodriguez-Perez, Federico, Romero, Sandor, Romero-Gomez, Manuel, Rubin, Raymond, Rumi, Mariagrazia, Rushbrook, Simon, Rust, Christian, Ryan, Michael, Safadi, Rifaat, Said, Adnan, Salminen, Kimmo, Samuel, Didier, Santoro, John, Sanyal, Arun, Sarkar, Souvik, Schaeffer, Cynthia, Schattenberg, Jörn, Schiefke, Ingolf, Schiff, Eugene, Schmidt, Wolfgang, Schneider, Jeffrey, Schouten, Jeoffrey, Schultz, Michael, Sebastiani, Giada, Semela, David, Sepe, Thomas, Sheikh, Aasim, Sheikh, Muhammad, Sheridan, David, Sherman, Kenneth, Shibolet, Oren, Shiffman, Mitchell, Siddique, Asma, Sieberhagen, Cyril, Sigal, Samuel, Sikorska, Katarzyna, Simon, Krzysztof, Sinclair, Marie, Skoien, Richard, Solis, Joel, Sood, Siddharth, Souder, Bob, Spivey, James, Stal, Per, Stinton, Laura, Strasser, Simone, Svorcan, Petar, Szabo, Gyongzi, Talal, Andrew, Tam, Edward, Tetri, Brent, Thuluvath, Paul, Tobias, Hillel, Tomasiewicz, Krzysztof, Torres, Dawn, Tran, Albert, Trauner, Michael, Trautwein, Christian, Trotter, James, Tsochatzis, Emanuel, Unitt, Esther, Vargas, Victor, Varkonyi, Istvan, Veitsman, Ella, Vespasiani Gentilucci, Umberto, Victor, David, Vierling, John, Vincent, Catherine, Vincze, Aron, von der Ohe, Manfred, Von Roenn, Natasha, Vuppalanchi, Raj, Waters, Michael, Watt, Kymberly, Wattacheril, Julia, Weltman, Martin, Wieland, Amanda, Wiener, Gregory, Williams A, Alonzo, Williams J, Jeffrey, Wilson, Jason, Yataco, Maria, Yoshida, Eric, Younes, Ziad, Yuan, Liyun, Zivony, Adam, Zogg, Donald, Zoller, Heinz, Zoulim, Fabien, Zuckerman, Eli, and Zuin, Massimo
- Abstract
Non-alcoholic steatohepatitis (NASH) is a common type of chronic liver disease that can lead to cirrhosis. Obeticholic acid, a farnesoid X receptor agonist, has been shown to improve the histological features of NASH. Here we report results from a planned interim analysis of an ongoing, phase 3 study of obeticholic acid for NASH.
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- 2019
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5. High Frequency of Multiclass HCV Resistance-Associated Mutations in Patients Failing Direct-Acting Antivirals: Real-Life Data
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Gozlan, Yael, Bucris, Efrat, Shirazi, Rachel, Rakovsky, Avia, Ben-Ari, Ziv, Davidov, Yana, Veizman, Ella, Saadi, Tarek, Braun, Marius, Cohen-Naftaly, Michal, Shlomai, Amir, Shibolet, Oren, Zigmond, Ehud, Katchman, Helena, Menachem, Yoram, Safadi, Rifaat, Galun, Eitan, Zuckerman, Eli, Nimer, Assy, Hazzan, Rawi, Maor, Yaakov, Saif, Abu Moch, Etzion, Ohad, Lurie, Yoav, Mendelson, Ella, and Mor, Orna
- Abstract
Background Direct-acting antiviral (DAA) therapy has dramatically increased sustained virological response rates in HCV-infected patients. However, resistance-associated substitutions (RAS) interfering with NS3- and NS5A-targeted therapy, still emerge. This real-life study analysed the type and frequency of RAS in rare cases of patients failing DAA regimens in 12 clinical centres in Israel.Methods Blood samples and clinical data from 49 patients who failed various DAAs were collected. RAS identified in the NS3 and NS5A regions by population (Sanger) and next-generation sequencing (NGS) were compared by treatment regimen and HCV subtypes.Results The majority (71.4%, 35/49) of patients were infected with the genotype (GT)1b strain, while 12.2% (6/49) carried GT1a and 14.3% GT3a/b (7), GT4a (1) and GT1b/GT3a. RAS were identified in 85.7% (42/49) of failures, of which 90.5% (38/42) were clinically relevant RAS (known to be associated with a specific GT and DAA in patients failing therapy or those with more than twofold change in in vitroreplicon assays). The most abundant RAS were 168A/E/Q/G/N/V (32.6%, 16/49) identified in NS3, and 93H/N (61.2%, 30/49), 31I/M/V (34.7%, 17/49) and 30R/H/K (12.2%, 6/49), identified in NS5A. Significantly more clinically relevant RAS were identified in NS5A (82.2%, 37/45) than in NS3 (35.7%, 10/28; P<0.01). While RAS were identified in all GT1a, GT3b and GT4a failures (100%, 10/10), only 71.8% (28/39) of GT1b or GT3a failures had RAS (P=0.09). In four cases, NGS identified additional clinically relevant RAS and in one patient, NGS deciphered coexistence of GT3a and GT1b infections.Conclusions Our findings, together with additional real-life data, will contribute to the optimization of retreatment in DAA failure, when cost-related and suboptimal regimens must be employed.
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- 2019
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6. Global prevalence, cascade of care, and prophylaxis coverage of hepatitis B in 2022: a modelling study
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Razavi-Shearer, Devin, Gamkrelidze, Ivane, Pan, Calvin, Jia, Jidong, Berg, Thomas, Gray, Richard, Lim, Young-Suk, Chen, Chien-Jen, Ocama, Ponsiano, Desalegn, Hailemichael, Abbas, Zaigham, Abdallah, Ayat, Aghemo, Alessio, Ahmadbekova, Sabohat, Ahn, Sang Hoon, Aho, Inka, Akarca, Ulus, Al Masri, Nasser, Alalwan, Abduljaleel, Alavian, Seyed, Al-Busafi, Said, Aleman, Soo, Alfaleh, Faleh, Alghamdi, Abdullah, Al-Hamoudi, Waleed, Aljumah, Abdulrahman, Al-Naamani, Khalid, Al-Rifai, Ahmad, Alserkal, Yousif, Altraif, Ibrahim, Amarsanaa, Jazag, Anderson, Motswedi, Andersson, Monique, Armstrong, Paige, Asselah, Tarik, Athanasakis, Kostas, Baatarkhuu, Oidov, Ben-Ari, Ziv, Bensalem, Aicha, Bessone, Fernando, Biondi, Mia, Bizri, Abdul Rahman, Blach, Sarah, Braga, Wornei, Brandão-Mello, Carlos, Brosgart, Carol, Brown, Kimberly, Brown, Robert, Jr, Bruggmann, Philip, Brunetto, Maurizia, Buti, Maria, Cabezas, Joaquin, Casanovas, Teresa, Chae, Chungman, Chan, Henry Lik Yuen, Cheinquer, Hugo, Chen, Pei-Jer, Cheng, Kent Jason, Cheon, Myeong-Eun, Chien, Cheng-Hung, Choudhuri, Gourdas, Christensen, Peer Brehm, Chuang, Wan-Long, Chulanov, Vladimir, Cisneros, Laura, Coffin, Carla, Contreras, Fernando, Coppola, Nicola, Cornberg, Markus, Cowie, Benjamin, Cramp, Matthew, Craxi, Antonio, Crespo, Javier, Cui, Fuqiang, Cunningham, Chris, Dalgard, Olav, De Knegt, Robert, De Ledinghen, Victor, Dore, Gregory, Drazilova, Sylvia, Duberg, Ann-Sofi, Egeonu, Steve, Elbadri, Mohammed, El-Kassas, Mohamed, El-Sayed, Manal, Estes, Chris, Etzion, Ohad, Farag, Elmobashar, Ferradini, Laurent, Ferreira, Paulo, Flisiak, Robert, Forns, Xavier, Frankova, Sona, Fung, James, Gane, Edward, Garcia, Virginia, García-Samaniego, Javier, Gemilyan, Manik, Genov, Jordan, Gheorghe, Liliana, Gholam, Pierre, Gish, Robert, Goleij, Pouya, Gottfredsson, Magnus, Grebely, Jason, Gschwantler, Michael, Guingane, Nanelin Alice, Hajarizadeh, Behzad, Hamid, Saeed, Hamoudi, Waseem, Harris, Aaron, Hasan, Irsan, Hatzakis, Angelos, Hellard, Margaret, Hercun, Julian, Hernandez, Javier, Hockicková, Ivana, Hsu, Yao-Chun, Hu, Ching-Chih, Husa, Petr, Janicko, Martin, Janjua, Naveed, Jarcuska, Peter, Jaroszewicz, Jerzy, Jelev, Deian, Jeruma, Agita, Johannessen, Asgeir, Kåberg, Martin, Kaita, Kelly, Kaliaskarova, Kulpash, Kao, Jia-Horng, Kelly-Hanku, Angela, Khamis, Faryal, Khan, Aamir, Kheir, Omer, Khoudri, Ibtissam, Kondili, Loreta, Konysbekova, Aliya, Kristian, Pavol, Kwon, Jisoo, Lagging, Martin, Laleman, Wim, Lampertico, Pietro, Lavanchy, Daniel, Lázaro, Pablo, Lazarus, Jeffrey V, Lee, Alice, Lee, Mei-Hsuan, Liakina, Valentina, Lukšić, Boris, Malekzadeh, Reza, Malu, Abraham, Marinho, Rui, Mendes-Correa, Maria Cássia, Merat, Shahin, Meshesha, Berhane Redae, Midgard, Håvard, Mohamed, Rosmawati, Mokhbat, Jacques, Mooneyhan, Ellen, Moreno, Christophe, Mortgat, Laure, Müllhaupt, Beat, Musabaev, Erkin, Muyldermans, Gaëtan, Naveira, Marcelo, Negro, Francesco, Nersesov, Alexander, Nguyen, Van Thi Thuy, Ning, Qing, Njouom, Richard, Ntagirabiri, Rénovat, Nurmatov, Zuridin, Oguche, Stephen, Omuemu, Casimir, Ong, Janus, Opare-Sem, Ohene, Örmeci, Necati, Orrego, Mauricio, Osiowy, Carla, Papatheodoridis, George, Peck-Radosavljevic, Markus, Pessoa, Mário, Pham, Trang, Phillips, Richard, Pimenov, Nikolay, Pincay-Rodríguez, Loreley, Plaseska-Karanfilska, Dijana, Pop, Cora, Poustchi, Hossein, Prabdial-Sing, Nishi, Qureshi, Huma, Ramji, Alnoor, Rautiainen, Henna, Razavi-Shearer, Kathryn, Remak, William, Ribeiro, Sofia, Ridruejo, Ezequiel, Ríos-Hincapié, Cielo, Robalino, Marcia, Roberts, Lewis, Roberts, Stuart, Rodríguez, Manuel, Roulot, Dominique, Rwegasha, John, Ryder, Stephen, Sadirova, Shakhlo, Saeed, Umar, Safadi, Rifaat, Sagalova, Olga, Said, Sanaa, Salupere, Riina, Sanai, Faisal, Sanchez-Avila, Juan F, Saraswat, Vivek, Sargsyants, Narina, Sarrazin, Christoph, Sarybayeva, Gulya, Schréter, Ivan, Seguin-Devaux, Carole, Seto, Wai-Kay, Shah, Samir, Sharara, Ala, Sheikh, Mahdi, Shouval, Daniel, Sievert, William, Simojoki, Kaarlo, Simonova, Marieta, Sinn, Dong Hyun, Sonderup, Mark, Sonneveld, Milan, Spearman, C Wendy, Sperl, Jan, Stauber, Rudolf, Stedman, Catherine, Sypsa, Vana, Tacke, Frank, Tan, Soek-Siam, Tanaka, Junko, Tergast, Tammo, Terrault, Norah, Thompson, Alexander, Thompson, Peyton, Tolmane, Ieva, Tomasiewicz, Krzysztof, Tsang, Tak-Yin, Uzochukwu, Benjamin, Van Welzen, Berend, Vanwolleghem, Thomas, Vince, Adriana, Voeller, Alexis, Waheed, Yasir, Waked, Imam, Wallace, Jack, Wang, Cong, Weis, Nina, Wong, Grace, Wong, Vincent, Wu, Jaw-Ching, Yaghi, Cesar, Yesmembetov, Kakharman, Yip, Terry, Yosry, Ayman, Yu, Ming-Lung, Yuen, Man-Fung, Yurdaydin, Cihan, Zeuzem, Stefan, Zuckerman, Eli, and Razavi, Homie
- Abstract
The 2016 World Health Assembly endorsed the elimination of hepatitis B virus (HBV) infection as a public health threat by 2030; existing therapies and prophylaxis measures make such elimination feasible, even in the absence of a virological cure. We aimed to estimate the national, regional, and global prevalence of HBV in the general population and among children aged 5 years and younger, as well as the rates of diagnosis, treatment, prophylaxis, and the future burden globally.
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- 2023
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7. Renal cells express a functional interleukin-15 receptor.
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Tejman-Yarden, Noa, Zlotnik, Moshe, Lewis, Eli, Etzion, Ohad, Chaimovitz, Cidio, and Douvdevani, Amos
- Abstract
Interleukin (IL)-15 is a pleiotropic cytokine known to be involved in graft rejection and to serve as a survival factor for leukocytes and epithelial cells, including renal cells. It utilizes a heterotrimeric receptor complex that consists of the IL-2 receptor betagammac subunits (IL-2/15Rbetagammac) and a unique high-affinity alpha-chain responsible for IL-15 specificity.
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- 2005
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8. Machine learning for mathematical models of HCV kinetics during antiviral therapy.
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Churkin, Alexander, Kriss, Stephanie, Uziel, Asher, Goyal, Ashish, Zakh, Rami, Cotler, Scott J., Etzion, Ohad, Shlomai, Amir, Rotstein, Horacio G., Dahari, Harel, and Barash, Danny
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MACHINE learning , *MATHEMATICAL models , *CHRONIC hepatitis C , *CURING , *HEPATITIS C virus , *HEPATITIS C , *ANTIVIRAL agents - Abstract
Mathematical models for hepatitis C virus (HCV) dynamics have provided a means for evaluating the antiviral effectiveness of therapy and estimating treatment outcomes such as the time to cure. Recently, a mathematical modeling approach was used in the first proof-of-concept clinical trial assessing in real-time the utility of response-guided therapy with direct-acting antivirals (DAAs) in chronic HCV-infected patients. Several retrospective studies have shown that mathematical modeling of viral kinetics predicts time to cure of less than 12 weeks in the majority of individuals treated with sofosbuvir-based as well as other DAA regimens. A database of these studies was built, and machine learning methods were evaluated for their ability to estimate the time to cure for each patient to facilitate real-time modeling studies. Data from these studies exploring mathematical modeling of HCV kinetics under DAAs in 266 chronic HCV-infected patients were gathered. Different learning methods were applied and trained on part of the dataset ('train' set), to predict time to cure on the untrained part ('test' set). Our results show that this machine learning approach provides a means for establishing an accurate time to cure prediction that will support the implementation of individualized treatment. • Mathematical modeling may identify chronic hepatitis C patients who were cured with a reduced duration of direct-acting antivirals (DAAs). • We examine the use of machine learning to overcome mathematical modeling identifiability issues and predict time to cure when viral points are limited. • We devise a procedure by which viral samples of in silico patients are generated for machine learning. • We demonstrate that machine learning can predict time to cure to a sufficient accuracy with limited data. [ABSTRACT FROM AUTHOR]
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- 2022
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