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1. Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes

Author

Gothoskar, Nishad, Ghavami, Matin, Li, Eric, Curtis, Aidan, Noseworthy, Michael, Chung, Karen, Patton, Brian, Freeman, William T., Tenenbaum, Joshua B., Klukas, Mirko, and Mansinghka, Vikash K.

Subjects
Computer Science - Robotics
Abstract

Robots cannot yet match humans' ability to rapidly learn the shapes of novel 3D objects and recognize them robustly despite clutter and occlusion. We present Bayes3D, an uncertainty-aware perception system for structured 3D scenes, that reports accurate posterior uncertainty over 3D object shape, pose, and scene composition in the presence of clutter and occlusion. Bayes3D delivers these capabilities via a novel hierarchical Bayesian model for 3D scenes and a GPU-accelerated coarse-to-fine sequential Monte Carlo algorithm. Quantitative experiments show that Bayes3D can learn 3D models of novel objects from just a handful of views, recognizing them more robustly and with orders of magnitude less training data than neural baselines, and tracking 3D objects faster than real time on a single GPU. We also demonstrate that Bayes3D learns complex 3D object models and accurately infers 3D scene composition when used on a Panda robot in a tabletop scenario.

Published
2023

7. Maternal circulating miRNAs contribute to negative pregnancy outcomes by altering placental transcriptome and fetal vascular dynamics.

Author

Pinson, Marisa, Tseng, Alexander, Lehman, Tenley, Chung, Karen, Gutierrez, Jessica, Larin, Kirill, Chambers, Christina, and Miranda, Rajesh

Subjects
Humans, Pregnancy, Female, Mice, Animals, Placenta, Pregnancy Outcome, Transcriptome, Fetal Blood, Prenatal Exposure Delayed Effects, Fetal Growth Retardation, MicroRNAs, Glucosyltransferases
Abstract

Circulating miRNAs the in blood are promising biomarkers for predicting pregnancy complications and adverse birth outcomes. Previous work identified 11 gestationally elevated maternal circulating miRNAs (HEamiRNAs) that predicted infant growth deficits following prenatal alcohol exposure and regulated epithelial-mesenchymal transition in the placenta. Here we show that a single intravascular administration of pooled murine-conserved HEamiRNAs to pregnant mice on gestational day 10 (GD10) attenuates umbilical cord blood flow during gestation, explaining the observed intrauterine growth restriction (IUGR), specifically decreased fetal weight, and morphometric indices of cranial growth. Moreover, RNAseq of the fetal portion of the placenta demonstrated that this single exposure has lasting transcriptomic changes, including upregulation of members of the Notch pathway (Dll4, Rfng, Hey1), which is a pathway important for trophoblast migration and differentiation. Weighted gene co-expression network analysis also identified chemokine signaling, which is responsible for regulating immune cell-mediated angiogenesis in the placenta, as an important predictor of fetal growth and head size. Our data suggest that HEamiRNAs perturb the expression of placental genes relevant for angiogenesis, resulting in impaired umbilical cord blood flow and subsequently, IUGR.

Published
2023

12. Prenatal alcohol exposure contributes to negative pregnancy outcomes by altering fetal vascular dynamics and the placental transcriptome.

Author

Pinson, Marisa R, Tseng, Alexander M, Adams, Amy, Lehman, Tenley E, Chung, Karen, Gutierrez, Jessica, Larin, Kirill V, Chambers, Christina, Miranda, Rajesh C, and Collaborative Initiative on Fetal Alcohol Spectrum Disorders

Subjects
Collaborative Initiative on Fetal Alcohol Spectrum Disorders, Fetal Blood, Placenta, Animals, Humans, Mice, Fetal Growth Retardation, Prenatal Exposure Delayed Effects, Ethanol, Pregnancy Outcome, Pregnancy, Female, Transcriptome, RNA-seq, intrauterine growth restriction, placenta, prenatal alcohol exposure, umbilical cord blood flow, Stem Cell Research - Umbilical Cord Blood/ Placenta, Intellectual and Developmental Disabilities (IDD), Alcoholism, Alcohol Use and Health, Pediatric, Conditions Affecting the Embryonic and Fetal Periods, Preterm, Low Birth Weight and Health of the Newborn, Perinatal Period - Conditions Originating in Perinatal Period, Infant Mortality, Substance Abuse, Fetal Alcohol Syndrome, Brain Disorders, Stem Cell Research, Genetics, Reproductive health and childbirth, Clinical Sciences, Neurosciences, Psychology
Abstract

BackgroundPrenatal alcohol exposure (PAE) has been shown to alter fetal blood flow in utero and is also associated with placental insufficiency and intrauterine growth restriction (IUGR), suggesting an underlying connection between perturbed circulation and pregnancy outcomes.MethodsTimed-pregnant C57/BL6NHsd mice, bred in-house, were exposed by gavage on gestational day 10 (GD10) to ethanol (3 g/kg) or purified water, as a control. Pulse-wave Doppler ultrasound measurements for umbilical arteries and ascending aorta were obtained post-gavage (GD12, GD14, GD18) on 2 fetuses/litter. RNA from the non-decidual (labyrinthine and junctional zone) portion of placentas was isolated and processed for RNA-seq and subsequent bioinformatic analyses, and the association between transcriptomic changes and fetal phenotypes assessed.ResultsExposure to ethanol in pregnant mice on GD10 attenuates umbilical cord blood flow transiently during gestation, and is associated with indices of IUGR, specifically decreased fetal weight and morphometric indices of cranial growth. Moreover, RNA-seq of the fetal portion of the placenta demonstrated that this single exposure has lasting transcriptomic changes, including upregulation of Tet3, which is associated with spontaneous abortion. Weighted gene co-expression network analysis (WGCNA) identified erythrocyte differentiation and homeostasis as important pathways associated with improved umbilical cord blood flow as gestation progresses. WGCNA also identified sensory perception of chemical stimulus/odorant and receptor activity as important pathways associated with cranial growth.ConclusionOur data suggest that PAE perturbs the expression of placental genes relevant for placental hematopoiesis and environmental sensing, resulting in transient impairment of umbilical cord blood flow and, subsequently, IUGR.

Published
2022

17. Bayesian Neural Ordinary Differential Equations

Author

Dandekar, Raj, Chung, Karen, Dixit, Vaibhav, Tarek, Mohamed, Garcia-Valadez, Aslan, Vemula, Krishna Vishal, and Rackauckas, Chris

Subjects
Computer Science - Machine Learning
Abstract

Recently, Neural Ordinary Differential Equations has emerged as a powerful framework for modeling physical simulations without explicitly defining the ODEs governing the system, but instead learning them via machine learning. However, the question: "Can Bayesian learning frameworks be integrated with Neural ODE's to robustly quantify the uncertainty in the weights of a Neural ODE?" remains unanswered. In an effort to address this question, we primarily evaluate the following categories of inference methods: (a) The No-U-Turn MCMC sampler (NUTS), (b) Stochastic Gradient Hamiltonian Monte Carlo (SGHMC) and (c) Stochastic Langevin Gradient Descent (SGLD). We demonstrate the successful integration of Neural ODEs with the above Bayesian inference frameworks on classical physical systems, as well as on standard machine learning datasets like MNIST, using GPU acceleration. On the MNIST dataset, we achieve a posterior sample accuracy of 98.5% on the test ensemble of 10,000 images. Subsequently, for the first time, we demonstrate the successful integration of variational inference with normalizing flows and Neural ODEs, leading to a powerful Bayesian Neural ODE object. Finally, considering a predator-prey model and an epidemiological system, we demonstrate the probabilistic identification of model specification in partially-described dynamical systems using universal ordinary differential equations. Together, this gives a scientific machine learning tool for probabilistic estimation of epistemic uncertainties., Comment: 16 pages, 10 figures, 3 tables; added new inference methods, substantially improved MNIST accuracy, revised author affiliations

Published
2020

21. Effects of Empagliflozin on Fluid Overload, Weight, and Blood Pressure in CKD

Author

Mayne, Kaitlin J., Staplin, Natalie, Keane, David F., Wanner, Christoph, Brenner, Susanne, Cejka, Vladimir, Stegbauer, Johannes, Judge, Parminder K., Preiss, David, Emberson, Jonathan, Trinca, Daniele, Dayanandan, Rejive, Lee, Ryonfa, Nolan, John, Omata, Akiko, Green, Jennifer B., Cherney, David Z.I., Hooi, Lai Seong, Pontremoli, Roberto, Tuttle, Katherine R., Lees, Jennifer S., Mark, Patrick B., Davies, Simon J., Hauske, Sibylle J., Steubl, Dominik, Brückmann, Martina, Landray, Martin J., Baigent, Colin, Haynes, Richard, Herrington, William G., Baigent, Colin, Landray, Martin J., Wanner, Christoph, Herrington, William G., Haynes, Richard, Green, Jennifer B., Hauske, Sibylle J., Brueckmann, Martina, Hopley, Mark, von-Eynatten, Maximillian, George, Jyothis, Brenner, Susanne, Cheung, Alfred K., Preiss, David, Liu, Zhi-Hong, Li, Jing, Hooi, Laiseong, Liu, Wen, Kadowaki, Takashi, Nangaku, Masaomi, Levin, Adeera, Cherney, David, Pontremoli, Roberto, Maggioni, Aldo P., Staplin, Natalie, Emberson, Jonathan, Hantel, Stefan, Goto, Shinya, Deo, Rajat, Tuttle, Katherine R., Hill, Michael, Judge, Parminder, Mayne, Kaitlin J., Ng, Sarah Y.A., Rossello, Xavier, Sammons, Emily, Zhu, Doreen, Sandercock, Peter, Bilous, Rudolf, Herzog, Charles, Whelton, Paul, Wittes, Janet, Bennett, Derrick, Achiri, Patricia, Ambrose, Chrissie, Badin, Cristina, Barton, Jill, Brown, Richard, Burke, Andy, Butler, Sebastian, Dayanandan, Rejive, Donaldson, Pia, Dykas, Robert, Fletcher, Lucy, Frederick, Kate, Kingston, Hannah, Gray, Mo, Harding, Emily, Hashimoto, Akiko, Howie, Lyn, Hurley, Susan, Lee, Ryonfa, Luker, Nik, Murphy, Kevin, Nakahara, Mariko, Nolan, John, Nunn, Michelle, Mulligan, Sorcha, Omata, Akiko, Pickworth, Sandra, Qiao, YanRu, Shah, Shraddha, Taylor, Karen, Timadjer, Alison, Willett, Monique, Wincott, Liz, Yan, Qin, Yu, Hui, Bowman, Louise, Chen, Fang, Clarke, Robert, Goonasekera, Michelle, Haynes, Richard, Herrington, William G., Judge, Parminder, Karsan, Waseem, Mafham, Marion, Mayne, Kaitlin J., Ng, Sarah Y. A., Preiss, David, Reith, Christina, Sammons, Emily, Zayed, Mohammed, Zhu, Doreen, Ellison, Ritva, Moys, Rowan, Stevens, Will, Verdel, Kevin, Wallendszus, Karl, Bowler, Chris, Brewer, Anna, Measor, Andy, Cui, Guanguo, Daniels, Charles, Field, Angela, Goodenough, Bob, Lawson, Ashley, Mostefai, Youcef, Radhakrishnan, Dheeptha, Syed, Samee, Xia, Shuang, Adewuyi-Dalton, Ruth, Arnold, Thomas, Beneat, Anne-Marie, Bhatt, Anoushka, Bird, Chloe, Breach, Andrew, Brown, Laura, Caple, Mark, Chavagnon, Tatyana, Chung, Karen, Clark, Sarah, Condurache, Luminita, Eichstadt, Katarzyna, Obrero, Marta Espino, Forest, Scarlett, French, Helen, Goodwin, Nick, Gordon, Andrew, Gordon, Joanne, Guest, Cat, Harding, Tina, Hill, Michael, Hozak, Michal, Lacey, Matthew, MacLean, David, Messinger, Louise, Moffat, Stewart, Radley, Martin, Shenton, Claire, Tipper, Sarah, Tyler, Jon, Weaving, Lesley, Wheeler, James, Williams, Elissa, Williams, Tim, Woodhouse, Hamish, Chamberlain, Angela, Chambers, Jo, Davies, Joanne, Donaldson, Denise, Faria-Shayler, Pati, Fleming-Brown, Denise, Ingell, Jennifer, Knott, Carol, Liew, Anna, Lochhead, Helen, Meek, Juliette, Rodriguez-Bachiller, Isabel, Wilson, Andrea, Zettergren, Patrick, AitSadi, Rach, Barton, Ian, Baxter, Alex, Bu, Yonghong, Danel, Lukasz, Grotjahn, Sonja, Kurien, Rijo, Lay, Michael, Maskill, Archie, Murawska, Aleksandra, Raff, Rachel, Young, Allen, Baigent, Colin, Haynes, Richard, Herrington, William G., Landray, Martin J., Preiss, David, Emberson, Jonathan, Sardell, Rebecca, Staplin, Natalie, Wanner, Christoph, Brenner, Susanne, Cejka, Vladimir, Fajardo-Moser, Marcela, Hartner, Christian, Poehler, Doris, Renner, Janina, Scheidemantel, Franziska, Haynes, Richard, Preiss, David, Herrington, William G., Judge, Parminder, Zhu, Doreen, Ng, Sarah Y. A., Mayne, Kaitlin J., Badin, Cristina, Chambers, Jo, Davies, Joanne, Donaldson, Denise, Gray, Mo, Harding, Emily, Ingell, Jenny, Qiao, Yanru, Shah, Shraddha, Wilson, Andrea, Zettergren, Patrick, Wanner, Christoph, Brenner, Susanne, Cejka, Vladimir, Ghavampour, Sharang, Knoppe, Anja, Schmidt-Gurtler, Hans, Dumann, Hubert, Merscher, Sybille, Patecki, Margret, Schlieper, Georg Rainer, Torp, Anke, Weber, Bianca, Zietz, Maja, Sitter, Thomas, Fuessl, Louise, Krappe, Julia, Loutan, Jerome, Vielhauer, Volker, Andriaccio, Luciano, Maurer, Magdalena, Winkelmann, Bernhard, Dursch, Martin, Seifert, Linda, Tenbusch, Linda, Weinmann-Menke, Julia, Boedecker, Simone, KaluzaSchilling, Wiebke, Kraus, Daniel, Krieger, Carina, Schmude, Margit, Schreiber, Anne, Eckrich, Ewelina, Tschope, Diethelm, Arbi, Abdulwahab, Lee-Barkey, Young, Stratmann, Bernd, Prib, Natalie, Rolfsmeier, Sina, Schneider, Irina, Rump, Lars, Stegbauer, Johannes, Pötz, Christine, Schemmelmann, Mara, Schmidt, Claudia, Haller, Hermann, Kaufeld, Jessica, Menne, Jan, Bahlmann-Kroll, Elisabeth, Bergner, Angela, Haynes, Richard, Herrington, William G., Zhu, Doreen, Gavrila, Madita, Lafferty, Kathryn, Rabara, Ria, Ruse, Sally, Weetman, Maria, Byrne, Cath, Jesky, Mark, Cowley, Alison, McHaffie, Emma, Waterfall, Holly, Taylor, Jo, Bough, Laura, Phillips, Thomas, Goodwin, Barbara Winter-, Frankel, Andrew, Tomlinson, James, Alegata, Marlon, Almasarwah, Rashid, Apostolidi, Anthoula, Vourvou, Maria, Walters, Thomas, Ugni, Shiva, Gunda, Smita, Oluyombo, Rotimi, Brindle, Vicki, Coutts, Ping, Fuller, Tracy, Nadar, Evelyn, Wong, Christopher, Goldsmith, Christopher, Barnes, Sherald, Bennett, Ann, Burston, Claire, Hope, Samantha, Hunt, Nicola, Kurian, Lini, Fish, Richard, Farrugia, Daniela, Lee, Judy, Sadler, Emma, Turner, Hannah, Clarke, Helen, Carnall, Victoria, Benyon, Sarah, Blake, Caroline, Estcourt, Stephanie, Piper, Jane, Morgan, Neal, Hutchinson, Carolyn, McKinley, Teresa, Doulton, Tim, Delaney, Michael, Montasser, Mahmoud, Hansen, Jenny, Loader, David, Moon, Angela, Morris, Frances, Fraser, Donald, Ali, Mohammad Alhadj, Griffin, Sian, Latif, Farah, Witczak, Justyna, Wonnacott, Alexa, Jeffers, Lynda, Webley, Yvette, Bell, Samira, Cosgrove, Leanne, Craik, Rachel, Murray, Shona, Khwaja, Arif, Jackson, Yvonne, Mbuyisa, Angeline, Sellars, Rachel, Lewington, Andrew, Baker, Richard, Dorey, Suzannah, Tobin, Kay, Wheatley, Rosalyn, Patel, Rajan, Mark, Patrick, Rankin, Alastair, Sullivan, Michael, Forsyth, Kirsty, and McDougall, Rowan

Published
2024
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24. Clinically isolated syndromes and multiple sclerosis : prospective clinical and MRI follow up after 30 years and features at earlier time-points

Author

Chung, Karen Ka Yan

Abstract

This thesis is based on a 30-year follow-up study of a cohort of people who initially presented, in the 1980’s, with clinically isolated syndromes (CIS), suggestive of relapse-onset multiple sclerosis (MS). The main aims were: 1) to study the very long-term outcome of the cohort, with particular attention on those who have fared well over time, 2) review the idea and definition of ‘benign’ MS, a controversial entity, and 3) to identify any potential early clinical and radiological features, of 30-year outcome. MS is a very heterogenous condition and biomarkers of long-term prognostication remain limited. With the increasing range of disease modifying therapies available, it is important that treatment decisions should, as far as possible, involve a personalized risk-benefit analysis. At 30 years, I found that the clinical outcomes of the cohort were diverse. Approximately a third remained CIS, and two thirds developed MS. Within the MS group, who were largely untreated, ~40% remained ambulatory, ~35% had developed significant disability, and 20% had died related to their MS. Comparisons between the ambulatory MS group and CIS group, showed that the groups were not significantly different across several clinical measures. In this cohort, the strongest early predictors of 30-year outcomes identified were radiological features. The presence of MRI white matter lesions in specific locations in the brain, within one year of presentation, were able to predict 30-year clinical outcomes with accuracies in the 70-75% range. These results could potentially be applied in a clinical setting and help inform treatment decisions.

Published
2020

26. In utero treatment of myelomeningocele with placental mesenchymal stromal cells — Selection of an optimal cell line in preparation for clinical trials

Author

Galganski, Laura A, Kumar, Priyadarsini, Vanover, Melissa A, Pivetti, Christopher D, Anderson, Jamie E, Lankford, Lee, Paxton, Zachary J, Chung, Karen, Lee, Chelsey, Hegazi, Mennatalla S, Yamashiro, Kaeli J, Wang, Aijun, and Farmer, Diana L

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Animals, Cell Line, Female, Fetal Therapies, Humans, Meningomyelocele, Mesenchymal Stem Cell Transplantation, Mesenchymal Stem Cells, Neuroprotection, Placenta, Pregnancy, Sheep, Myelomeningocele, Spina bi fida, Fetal surgery, Mesenchymal stromal cell, Potency, Spina bifida, Paediatrics and Reproductive Medicine, Pediatrics, Clinical sciences, Paediatrics
Abstract

BackgroundWe determined whether in vitro potency assays inform which placental mesenchymal stromal cell (PMSC) lines produce high rates of ambulation following in utero treatment of myelomeningocele in an ovine model.MethodsPMSC lines were created following explant culture of three early-gestation human placentas. In vitro neuroprotection was assessed with a neuronal apoptosis model. In vivo, myelomeningocele defects were created in 28 fetuses and repaired with PMSCs at 3 × 105 cells/cm2 of scaffold from Line A (n = 6), Line B (n = 7) and Line C (n = 5) and compared to no PMSCs (n = 10). Ambulation was scored as ≥13 on the Sheep Locomotor Rating Scale.ResultsIn vitro, Line A and B had higher neuroprotective capability than no PMSCs (1.7 and 1.8 respectively vs 1, p = 0.02, ANOVA). In vivo, Line A and B had higher large neuron densities than no PMSCs (25.2 and 27.9 respectively vs 4.8, p = 0.03, ANOVA). Line C did not have higher neuroprotection or larger neuron density than no PMSCs. In vivo, Line A and B had ambulation rates of 83% and 71%, respectively, compared to 60% with Line C and 20% with no PMSCs.ConclusionThe in vitro neuroprotection assay will facilitate selection of optimal PMSC lines for clinical use.Level of evidencen/a.Type of studyBasic science.

Published
2020

27. Immune Modulatory Effects of Fetal Surgical Repair with Placenta-Derived Mesenchymal Stromal Cell in an Ovine Model of Myelomeningocele

Author

Chung, Karen, Pivetti, Christopher, and Farmer, Diana

Abstract

Myelomeningocele (MMC), or spina bifida, results from incomplete closure of the spinal cord and spinal canal during gestation, leaving the spinal cord unprotected. Intrauterine chemical and mechanical trauma to the exposed spinal cord results in lifelong lower limb paralysis, bowel and bladder dysfunction, musculoskeletal deformities, and severe cognitive disabilities due to hindbrain herniation in afflicted children. It is the most common congenital cause of lifelong paralysis in the United States, and approximately four children a day are born with this devastating congenital defect.

Published
2020

30. High density placental mesenchymal stromal cells provide neuronal preservation and improve motor function following in utero treatment of ovine myelomeningocele

Author

Vanover, Melissa, Pivetti, Christopher, Lankford, Lee, Kumar, Priyadarsini, Galganski, Laura, Kabagambe, Sandra, Keller, Benjamin, Becker, James, Chen, Y Julia, Chung, Karen, Lee, Chelsey, Paxton, Zachary, Deal, Bailey, Goodman, Laura, Anderson, Jamie, Jensen, Guy, Wang, Aijun, and Farmer, Diana

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Animals, Extracellular Matrix, Female, Fetal Therapies, Fetus, Meningomyelocele, Mesenchymal Stem Cell Transplantation, Mesenchymal Stem Cells, Motor Activity, Neurons, Placenta, Pregnancy, Sheep, Spinal Cord, Myelomeningocele, Fetal surgery, Tissue engineering, Mesenchymal stromal cell, Neuroprotection, Paediatrics and Reproductive Medicine, Pediatrics, Clinical sciences, Paediatrics
Abstract

PurposeThe purpose of this study was to determine whether seeding density of placental mesenchymal stromal cells (PMSCs) on extracellular matrix (ECM) during in utero repair of myelomeningocele (MMC) affects motor function and neuronal preservation in the ovine model.MethodsMMC defects were surgically created in 33 fetuses and repaired following randomization into four treatment groups: ECM only (n = 10), PMSC-ECM (42 K cells/cm2) (n = 8), PMSC-ECM (167 K cells/cm2) (n = 7), or PMSC-ECM (250-300 K cells/cm2) (n = 8). Motor function was evaluated using the Sheep Locomotor Rating Scale (SLR). Serial sections of the lumbar spinal cord were analyzed by measuring their cross-sectional areas which were then normalized to normal lambs. Large neurons (LN, diameter 30-70 μm) were counted manually and density calculated per mm2 gray matter.ResultsLambs treated with PMSCs at any density had a higher median SLR score (15 [IQR 13.5-15]) than ECM alone (6.5 [IQR 4-12.75], p = 0.036). Cross-sectional areas of spinal cord and gray matter were highest in the PMSC-ECM (167 K/cm2) group (p = 0.002 and 0.006, respectively). LN density was highest in the greatest density PMSC-ECM (250-300 K/cm2) group (p = 0.045) which positively correlated with SLR score (r = 0.807, p

Published
2019

34. Impact of cancer screening results on patient-reported outcomes (PRO) and behavioral intentions.

Author

Patrick, Donald, primary, Ross, Melissa, additional, Mulnick, Sarah, additional, Samuelson, Ashley, additional, Cong, Ze, additional, Chung, Karen, additional, Klein, Eric A., additional, Reid, Robert Lawrence, additional, Lopatin, Margarita, additional, Fung, Eric T., additional, Dilaveri, Christina A., additional, Marinac, Catherine, additional, and McDonnell, Charles H, additional

Published
2024
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35. Multi-cancer early detection (MCED) test performance in cancer survivors.

Author

Marinac, Catherine, primary, O'Donnell, Elizabeth, additional, Shaknovich, Rita, additional, Clarke, Christina A., additional, Walia, Guneet, additional, Chung, Karen, additional, Farese, Jennifer, additional, Lopatin, Margarita, additional, Fung, Eric T., additional, Venstrom, Jeffrey M., additional, Klein, Eric A., additional, and Karlitz, Jordan J., additional

Published
2024
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41. Multiple Sclerosis and Demyelinating Diseases

Author

Leary, Siobhan, primary, Brownlee, Wallace, additional, Barker, Noreen, additional, Chard, Declan, additional, Chataway, Jeremy, additional, Chung, Karen, additional, Ciccarelli, Olga, additional, Giovannoni, Gavin, additional, John, Nevin, additional, Khaleeli, Zhaleh, additional, Swanton, Josephine, additional, Toosy, Ahmed, additional, Trip, Anand, additional, Wilson, Heather, additional, and Thompson, Alan, additional

Published
2024
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