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A clinical trial is an essential step in drug development, which is often costly and time-consuming.
Model-based insulin and nutrition administration for tight glycaemic control in critical care
J Geoffrey Chase, Geoffrey M Shaw, Thomas Lotz, Aaron LeCompte, Jason Wong, Jessica Lin, Timothy Lonergan, Michael Willacy, and Christopher E Hann · 2007
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Eligibility criteria of randomized controlled trials published in high-impact general medical journals: a systematic sampling review
Harriette GC Van Spall, Andrew Toren, Alex Kiss, and Robert A Fowler · 2007
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A method for generation and distribution of synthetic medical record data for evaluation of disease-monitoring systems
Joseph S Lombardo and Linda J Moniz · 2008
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In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes, 2009
Boris P Kovatchev, Marc Breton, Chiara Dalla Man, and Claudio Cobelli · 2009
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Blood glucose controller for neonatal intensive care: virtual trials development and first clinical trials, 2009
Aaron Le Compte, J Geoffrey Chase, Adrienne Lynn, Chris Hann, Geoffrey Shaw, Xing-Wei Wong, and Jessica Lin · 2009
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The arterial windkessel
Nico Westerhof, Jan-Willem Lankhaar, and Berend E Westerhof · 2009
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Data-driven approach for creating synthetic electronic medical records
Anna L Buczak, Steven Babin, and Linda Moniz · 2010
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Validation of a model-based virtual trials method for tight glycemic control in intensive care
J Geoffrey Chase, Fatanah Suhaimi, Sophie Penning, Jean-Charles Preiser, Aaron J Le Compte, Jessica Lin, Christopher G Pretty, Geoffrey M Shaw, Katherine T Moorhead, and Thomas Desaive · 2010
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Artificial pancreas: past, present, future
Claudio Cobelli, Eric Renard, and Boris Kovatchev · 2011
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A practical guide to training restricted boltzmann machines
Geoffrey E Hinton · 2012
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Computational modeling of chemo-electro-mechanical coupling: a novel implicit monolithic finite element approach
J Wong, SERDAR Göktepe, and E Kuhl · 2013
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The uva/padova type 1 diabetes simulator: new features
Chiara Dalla Man, Francesco Micheletto, Dayu Lv, Marc Breton, Boris Kovatchev, and Claudio Cobelli · 2014
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The living heart project: a robust and integrative simulator for human heart function
Brian Baillargeon, Nuno Rebelo, David D Fox, Robert L Taylor, and Ellen Kuhl · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Systems analysis of non-parenchymal cell modulation of liver repair across multiple regeneration modes
Daniel Cook, Babatunde A Ogunnaike, and Rajanikanth Vadigepalli · 2015
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Fundamentals of clinical trials
Lawrence M Friedman, Curt D Furberg, David L DeMets, David M Reboussin, and Christopher B Granger · 2015
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Modernizing eligibility criteria for molecularly driven trials
Edward S Kim, David Bernstein, Susan G Hilsenbeck, Christine H Chung, Adam P Dicker, Jennifer L Ersek, Steven Stein, Fadlo R Khuri, Earle Burgess, Kelly Hunt, et al · 2015
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Basic principles of drug discovery and development
Benjamin E Blass · 2015
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Risk prediction with electronic health records: A deep learning approach
Yu Cheng, Fei Wang, Ping Zhang, and Jianying Hu · 2016
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Doctor AI: Predicting clinical events via recurrent neural networks
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F Stewart, and Jimeng Sun · 2016
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A data-driven approach to predicting successes and failures of clinical trials
Kaitlyn M Gayvert, Neel S Madhukar, and Olivier Elemento · 2016
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Using the caremap with health incidents statistics for generating the realistic synthetic electronic healthcare record
Scott McLachlan, Kudakwashe Dube, and Thomas Gallagher · 2016
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Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
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How much do clinical trials cost
Linda Martin, Melissa Hutchens, Conrad Hawkins, and Alaina Radnov · 2017
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Learning representations for the early detection of sepsis with deep neural networks
Hye Jin Kam and Ha Young Kim · 2017
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An RNN architecture with dynamic temporal matching for personalized predictions of parkinson’s disease
Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, and Fei Wang · 2017
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Predicting healthcare trajectories from medical records: A deep learning approach
Trang Pham, Truyen Tran, Dinh Phung, and Svetha Venkatesh · 2017
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Dipole: Diagnosis prediction in healthcare via attention-based bidirectional recurrent neural networks
Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, and Jing Gao · 2017
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Automating biomedical evidence synthesis: Robotreviewer
Iain J Marshall, Joël Kuiper, Edward Banner, and Byron C Wallace · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Boundary-seeking generative adversarial networks
R Devon Hjelm, Athul Paul Jacob, Tong Che, Adam Trischler, Kyunghyun Cho, and Yoshua Bengio · 2017
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Generalisability of a virtual trials method for glycaemic control in intensive care
Jennifer L Dickson, Kent W Stewart, Christopher G Pretty, Marine Flechet, Thomas Desaive, Sophie Penning, Bernard C Lambermont, Balázs Benyó, Geoffrey M Shaw, and J Geoffrey Chase · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Eliie: An open-source information extraction system for clinical trial eligibility criteria
Tian Kang, Shaodian Zhang, Youlan Tang, Gregory W Hruby, Alexander Rusanov, Noémie Elhadad, and Chunhua Weng · 2017
Cited alongside, same era.
Broadening eligibility criteria to make clinical trials more representative: American society of clinical oncology and friends of cancer research joint research statement
Edward S Kim, Suanna S Bruinooge, Samantha Roberts, Gwynn Ison, Nancy U Lin, Lia Gore, Thomas S Uldrick, Stuart M Lichtman, Nancy Roach, Julia A Beaver, et al · 2017
Cited alongside, same era.
A unified approach to interpreting model predictions
Scott M Lundberg and Su-In Lee · 2017
Evaluation of a machine learning model based on pretreatment symptoms and electroencephalographic features to predict outcomes of antidepressant treatment in adults with depression: a prespecified secondary analysis of a randomized clinical trial
Pranav Rajpurkar, Jingbo Yang, Nathan Dass, Vinjai Vale, Arielle S Keller, Jeremy Irvin, Zachary Taylor, Sanjay Basu, Andrew Ng, and Leanne M Williams · 2020
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Stagenet: Stage-aware neural networks for health risk prediction
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M Glass, and Jimeng Sun · 2020
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Concare: Personalized clinical feature embedding via capturing the healthcare context
Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, and Junyi Gao · 2020
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Trialstreamer: mapping and browsing medical evidence in real-time
Benjamin E Nye, Ani Nenkova, Iain J Marshall, and Byron C Wallace · 2020
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Text-to-sql generation for question answering on electronic medical records
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Cited alongside, same era.
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Cao Xiao, Edward Choi, and Jimeng Sun · 2018
Cited alongside, same era.
Generation of synthetic electronic medical record text
Jiaqi Guan, Runzhe Li, Sheng Yu, and Xuegong Zhang · 2018
Cited alongside, same era.
Advances in organ-on-a-chip engineering
Boyang Zhang, Anastasia Korolj, Benjamin Fook Lun Lai, and Milica Radisic · 2018
Cited alongside, same era.
Multi-label classification of patient notes: case study on icd code assignment
Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen, Michael Elhadad, and Noémie Elhadad · 2018
Cited alongside, same era.
Health-atm: A deep architecture for multifaceted patient health record representation and risk prediction
Tengfei Ma, Cao Xiao, and Fei Wang · 2018
Cited alongside, same era.
Mime: Multilevel medical embedding of electronic health records for predictive healthcare
Edward Choi, Cao Xiao, Walter Stewart, and Jimeng Sun · 2018
Cited alongside, same era.
Scalable and accurate deep learning with electronic health records
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M Dai, Nissan Hajaj, Michaela Hardt, Peter J Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, et al · 2018
Cited alongside, same era.
Ping Wang, Tian Shi, and Chandan K Reddy · 2020
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Dataset and enhanced model for eligibility criteria-to-sql semantic parsing
Xiaojing Yu, Tianlong Chen, Zhengjie Yu, Huiyu Li, Yang Yang, Xiaoqian Jiang, and Anxiao Jiang · 2020
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Predicting successes and failures of clinical trials with an ensemble ls-svr
Zhen-Yu Hong, Jooyong Shim, Woo Chan Son, and Changha Hwang · 2020
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Apollo 13: The first digital twin, Apr 2020
Stephen Ferguson · 2020
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Deep digital phenotyping and digital twins for precision health: time to dig deeper
Guy Fagherazzi et al · 2020
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The ‘digital twin’to enable the vision of precision cardiology
Jorge Corral-Acero, Francesca Margara, Maciej Marciniak, Cristobal Rodero, Filip Loncaric, Yingjing Feng, Andrew Gilbert, Joao F Fernandes, Hassaan A Bukhari, Ali Wajdan, et al · 2020
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DeepEnroll: Patient-Trial matching with deep embedding and entailment prediction
Xingyao Zhang, Cao Xiao, Lucas M Glass, and Jimeng Sun · 2020
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Machine learning applications for therapeutic tasks with genomics data
Kexin Huang, Cao Xiao, Lucas M Glass, Cathy W Critchlow, Greg Gibson, and Jimeng Sun · 2021
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The role of machine learning in clinical research: transforming the future of evidence generation
E Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Yuan Luo, Daniel F Freitag, James Benoit, Michael C Hughes, Faisal Khan, et al · 2021
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A framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ecgs
Karli Gillette, Matthias AF Gsell, Anton J Prassl, Elias Karabelas, Ursula Reiter, Gert Reiter, Thomas Grandits, Christian Payer, Darko Štern, Martin Urschler, et al · 2021
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Organs-on-chips: into the next decade
Lucie A Low, Christine Mummery, Brian R Berridge, Christopher P Austin, and Danilo A Tagle · 2021
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Reinforcement learning in healthcare: A survey
Chao Yu, Jiming Liu, Shamim Nemati, and Guosheng Yin · 2021
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Survtrace: Transformers for survival analysis with competing events
Zifeng Wang and Jimeng Sun · 2021
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Online disease diagnosis with inductive heterogeneous graph convolutional networks
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, and Yefeng Zheng · 2021
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Predicting drug approvals: the novartis data science and artificial intelligence challenge
Kien Wei Siah, Nicholas W Kelley, Steffen Ballerstedt, Björn Holzhauer, Tianmeng Lyu, David Mettler, Sophie Sun, Simon Wandel, Yang Zhong, Bin Zhou, et al · 2021
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Machine learning enabled subgroup analysis with real-world data to inform better clinical trial design
Jie Xu, Hao Zhang, Hansi Zhang, Jiang Bian, and Fei Wang · 2021
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Digital twins for multiple sclerosis
Isabel Voigt, Hernan Inojosa, Anja Dillenseger, Rocco Haase, Katja Akgün, and Tjalf Ziemssen · 2021
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Towards realizing the vision of precision medicine: Ai based prediction of clinical drug response
Johann de Jong, Ioana Cutcutache, Matthew Page, Sami Elmoufti, Cynthia Dilley, Holger Fröhlich, and Martin Armstrong · 2021
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Towards clinical data-driven eligibility criteria optimization for interventional covid-19 clinical trials
Jae Hyun Kim, Casey N Ta, Cong Liu, Cynthia Sung, Alex M Butler, Latoya A Stewart, Lyudmila Ena, James R Rogers, Junghwan Lee, Anna Ostropolets, et al · 2021
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MolGenSurvey: A systematic survey in machine learning models for molecule design
Yuanqi Du, Tianfan Fu, Jimeng Sun, and Shengchao Liu · 2022
Closest in time.
Clinical trial site matching with improved diversity using fair policy learning
Rakshith S Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, and Jimeng Sun · 2022
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Machine learning enables smaller als clinical trials (p1-13.003), 2022
Daniele Bertolini, Katelyn Arnemann, Diana Hall, and Jonathan Walsh · 2022
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Catnet: Cross-event attention-based time-aware network for medical event prediction
Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, and Buzhou Tang · 2022
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Hint: Hierarchical interaction network for clinical-trial-outcome predictions
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M Glass, and Jimeng Sun · 2022
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Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety
James R Rogers, Jovana Pavisic, Casey N Ta, Cong Liu, Ali Soroush, Ying Kuen Cheung, George Hripcsak, and Chunhua Weng · 2022
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Building digital twins of the human immune system: toward a roadmap
Reinhard Laubenbacher, Anna Niarakis, Tomas Helikar, G An, B Shapiro, RS Malik-Sheriff, TJ Sego, A Knapp, P Macklin, and JA Glazier · 2022
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EMIXER: End-to-end multimodal x-ray generation via self-supervision
Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, and Jimeng Sun · 2022
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