Research graph
References from AI driven clinical trials. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep learning with differential privacy
2016 · External reference
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
10.1038/ncomms5006 · 2014 · External reference
Unresolved reference
2019 · External reference
A gentle introduction to conformal prediction and distribution-free uncertainty quantification
2021 · External reference
The REMAP-CAP (randomized embedded multifactorial adaptive platform for community-acquired pneumonia) study. Rationale and design
10.1513/annalsats.202003-192sd · 2020 · External reference
Statistical modeling of clinical trials (recruitment and randomization)
10.1080/03610926.2011.581189 · 2011 · External reference
10.1002/sim.2956
10.1002/sim.2956 · External reference
Recursive partitioning for heterogeneous causal effects
10.1073/pnas.1510489113 · 2016 · External reference
10.1080/00273171.2011.568786
10.1080/00273171.2011.568786 · External reference
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
2018 · External reference
Unresolved reference
External reference
Multimodal machine learning: a survey and taxonomy
10.1109/tpami.2018.2798607 · 2019 · External reference
10.18653/v1/d19-1371
10.18653/v1/d19-1371 · External reference
AstraZeneca-BenevolentAI collaboration productivity update. BenevolentAI FY2022/FY2023 Annual Reports
2022 · External reference
10.1038/nrd1927
10.1038/nrd1927 · External reference
Adaptive clinical trials: the promise and the caution
10.1200/jco.2010.32.2685 · 2011 · External reference
10.1007/s43441-020-00209-0
10.1007/s43441-020-00209-0 · External reference
Time series deconfounder: estimating treatment effects over time in the presence of hidden confounders
2020 · External reference
Unresolved reference
External reference
Practical secure aggregation for privacy-preserving machine learning
2017 · External reference
Applications of quantitative systems pharmacology in model-informed drug discovery: perspective on impact and opportunities
10.1002/psp4.12463 · 2019 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Generative adversarial networks in time series: a systematic literature review
10.1145/3559540 · 2023 · External reference
Multitask learning
10.1023/a:1007379606734 · 1997 · External reference
Fairness in machine learning: a survey
10.1145/3616865 · 2024 · External reference
Classification with fairness constraints: a meta-algorithm with provable guarantees
2019 · External reference
Anomaly detection: a survey
10.1145/1541880.1541882 · 2009 · External reference
Deep learning with multimodal representation for pancancer prognosis prediction
10.1093/bioinformatics/btz342 · 2019 · External reference
XGBoost: a scalable tree boosting system
2016 · External reference
Double/debiased machine learning for treatment and structural parameters
10.1111/ectj.12097 · 2018 · External reference
Unresolved reference
2017 · External reference
An economic approach to clinical trial design and research priority-setting
10.1002/(sici)1099-1050(199611)5:6<513::aid-hec237>3.0.co;2-9 · 1996 · External reference
Unresolved reference
2014 · External reference
An economic perspective on platform trials—the gift and the curse
10.1001/jamanetworkopen.2022.21149 · 2022 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Real-world evidence and real-world data for evaluating drug safety and effectiveness
10.1001/jama.2018.10136 · 2018 · External reference
Unresolved reference
External reference
Federated learning for predicting clinical outcomes in patients with COVID-19
10.1038/s41591-021-01506-3 · 2021 · External reference
Unresolved reference
2019 · External reference
10.18653/v1/n19-1423
10.18653/v1/n19-1423 · External reference
Innovation in the pharmaceutical industry: new estimates of R&D costs
10.1016/j.jhealeco.2016.01.012 · 2016 · External reference
Using negative controls to identify causal effects with invalid instrumental variables
10.1093/biomet/asae064 · 2024 · External reference
The algorithmic foundations of differential privacy
10.1561/0400000042 · 2014 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
2025 · External reference
Unresolved reference
External reference
A survey of software tool utilization and capabilities for quantitative systems pharmacology: what we have and what we need
10.1002/psp4.12373 · 2019 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
2025 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
2011 · External reference
Launching PCORnet, a national patient-centered clinical research network
10.1136/amiajnl-2014-002747 · 2014 · External reference
10.1177/1740774509102310
10.1177/1740774509102310 · External reference
Greedy function approximation: a gradient boosting machine
2001 · External reference
A survey on concept drift adaptation
10.1145/2523813 · 2014 · External reference
Datasheets for datasets
10.1145/3458723 · 2021 · External reference
Unresolved reference
2013 · External reference
Unresolved reference
External reference
Radiomics: images are more than pictures, they are data
10.1148/radiol.2015151169 · 2016 · External reference
Peeking inside the black box: visualizing statistical learning with plots of individual conditional expectation
10.1080/10618600.2014.907095 · 2015 · External reference
Domain-specific language model pretraining for biomedical natural language processing
2021 · External reference
Unresolved reference
2020 · External reference
Group sequential tests for delayed responses (with discussion)
10.1111/j.1467-9868.2012.01030.x · 2012 · External reference
Equality of opportunity in supervised learning
2016 · External reference
Unresolved reference
2009 · External reference
Clinical development success rates for investigational drugs
10.1038/nbt.2786 · 2014 · External reference
Unresolved reference
External reference
Simulating study data to support expected value of sample information calculations: a tutorial
2021 · External reference
Unresolved reference
External reference
Bayesian nonparametric modeling for causal inference
10.1198/jcgs.2010.08162 · 2011 · External reference
Systematic integration of biomedical knowledge prioritizes drugs for repurposing
10.7554/elife.26726 · 2017 · External reference
Dexamethasone in hospitalized patients with Covid-19
2021 · External reference
Observational health data sciences and informatics (OHDSI): opportunities for observational researchers
2015 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
2000 · External reference
Advances and open problems in federated learning
10.1561/2200000083 · 2021 · External reference
LightGBM: a highly efficient gradient boosting decision tree
2017 · External reference
10.1126/scitranslmed.3001807
10.1126/scitranslmed.3001807 · External reference
Parsable clinical trial eligibility criteria representation using natural language processing
2023 · External reference
10.1101/513945
10.1101/513945 · External reference
Unresolved reference
External reference
Can the pharmaceutical industry reduce attrition rates?
10.1038/nrd1470 · 2004 · External reference
Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system
10.1377/hlthaff.2014.0053 · 2014 · External reference
10.1073/pnas.1804597116
10.1073/pnas.1804597116 · External reference
Random-effects models for longitudinal data
10.2307/2529876 · 1982 · External reference
Radiomics: extracting more information from medical images using advanced feature analysis
10.1016/j.ejca.2011.11.036 · 2012 · External reference
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
10.1093/bioinformatics/btz682 · 2019 · External reference
Developing a delivery science for artificial intelligence in healthcare
10.1038/s41746-020-00318-y · 2020 · External reference
Temporal fusion transformers for interpretable multi-horizon time series forecasting
10.1016/j.ijforecast.2021.03.012 · 2021 · External reference
A note on Platt’s probabilistic outputs for support vector machines
10.1007/s10994-007-5018-6 · 2007 · External reference
Modeling missing data in clinical time series with RNNs
2016 · External reference
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
10.1038/s41591-020-1034-x · 2020 · External reference
10.1038/s42256-019-0138-9
10.1038/s42256-019-0138-9 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Knowledge graphs and their applications in drug discovery
10.1080/17460441.2021.1910673 · 2021 · External reference
Portfolio selection
1952 · External reference
Unresolved reference
External reference
A survey on bias and fairness in machine learning
2021 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Learning from vertically distributed data across multiple sites: an efficient privacy-preserving algorithm for Cox proportional hazards model with variable selection
10.1016/j.jbi.2023.104581 · 2024 · External reference
Deep patient: an unsupervised representation to predict the future of patients from the electronic health records
10.1038/srep26094 · 2016 · External reference
Model cards for model reporting
2019 · External reference
Approaches to prioritising research for clinical trial networks: a scoping review
10.1186/s13063-022-06928-z · 2022 · External reference
Diagnostic verification of probability forecasts
10.1016/0169-2070(92)90028-8 · 1992 · External reference
Optimal dynamic treatment regimes
10.1111/1467-9868.00389 · 2003 · External reference
The support of human genetic evidence for approved drug indications
10.1038/ng.3314 · 2015 · External reference
Multimodal deep learning
2011 · External reference
Artificial intelligence in small-molecule drug discovery: a critical review of methods, applications, and real-world outcomes
10.3390/ph18091271 · 2025 · External reference
Unresolved reference
External reference
Continual reassessment method: a practical design for phase 1 clinical trials in cancer
10.2307/2531628 · 1990 · External reference
Open targets platform: supporting systematic drug-target identification and prioritisation
10.1093/nar/gkaa1027 · 2021 · External reference
Artificial intelligence in clinical trials: a comprehensive review of opportunities, challenges, and future directions
10.1016/j.ijmedinf.2025.106141 · 2026 · External reference
Discussion of trial designs for biomarker identification and validation through the use of case studies
10.1200/po.19.00051 · 2019 · External reference
How to improve R&D productivity: the pharmaceutical industry’s grand challenge
10.1038/nrd3078 · 2010 · External reference
Unresolved reference
2009 · External reference
On fairness and calibration
2017 · External reference
Apple watch, wearables, and heart rhythm: where do we stand?
10.21037/atm.2019.06.79 · 2019 · External reference
Unresolved reference
External reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · 2020 · External reference
Unresolved reference
External reference
An overview of multi-task learning in deep neural networks
2017 · External reference
Sample-size formula for the proportional-hazards regression model
10.2307/2531021 · 1983 · External reference
Improving reproducibility by using high-throughput observational studies with empirical calibration
10.1098/rsta.2017.0356 · 2018 · External reference
Principles of large-scale evidence generation and evaluation across a network of databases (LEGEND)
10.1093/jamia/ocaa103 · 2020 · External reference
Benchmarking R&D success rates of leading pharmaceutical companies: an empirical analysis of FDA approvals (2006–2022)
10.1016/j.drudis.2025.104291 · 2025 · External reference
Unresolved reference
2017 · External reference
CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials
2010 · External reference
A modern Bayesian look at the multi-armed bandit
10.1002/asmb.874 · 2010 · External reference
Hidden technical debt in machine learning systems
2015 · External reference
Artificial Intelligence and the future of clinical trials
10.1016/j.conctc.2025.101545 · 2025 · External reference
An update on knowledge graphs and their current and potential applications in drug discovery
10.1080/17460441.2025.2490253 · 2025 · External reference
Costs of drug development and research and development intensity in the US, 2000-2018
10.1001/jamanetworkopen.2024.15445 · 2024 · External reference
Evidentiary basis of the first regulatory qualification of a digital primary efficacy endpoint
10.1038/s41598-024-80177-9 · 2024 · External reference
Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis
10.1109/jbhi.2017.2767063 · 2017 · External reference
Unresolved reference
External reference
A scoping review and assessment framework for technical debt in the development and operation of AI/ML competition platforms
10.3390/app15137165 · 2025 · External reference
10.1186/s12874-016-0272-6
10.1186/s12874-016-0272-6 · External reference
Unresolved reference
2018 · External reference
k-anonymity: a model for protecting privacy
10.1142/s0218488502001648 · 2002 · External reference
A scoping review of artificial intelligence applications in clinical trial risk assessment
10.1038/s41746-025-01886-7 · 2025 · External reference
Adaptive enrichment designs in clinical trials
10.1146/annurev-statistics-040720-032818 · 2022 · External reference
Semi-supervised classification with graph convolutional networks
2017 · External reference
On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
10.1093/biomet/25.3-4.285 · 1933 · External reference
Regression shrinkage and selection via the Lasso: a retrospective
10.1111/j.1467-9868.2011.00771.x · 2011 · External reference
The personal and clinical utility of polygenic risk scores
10.1038/s41576-018-0018-x · 2018 · External reference
Comment: advancing clinical trials with novel designs and implementations
10.1214/23-sts865c · 2023 · External reference
Joint modeling of longitudinal and time-to-event data: an overview
2004 · External reference
Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: the Apple Heart Study
10.1016/j.ahj.2018.09.002 · 2019 · External reference
Unresolved reference
2011 · External reference
Unresolved reference
External reference
Machine learning for medical imaging: methodological failures and recommendations for the future
10.1038/s41746-022-00592-y · 2022 · External reference
Machine learning for medical imaging: methodological failures and recommendations for the future
10.1038/s41746-022-00592-y · 2022 · External reference
Unresolved reference
2023 · External reference
Decoding the genetic symphony: profiling protein-coding and long noncoding RNA expression in T-acute lymphoblastic leukemia for clinical insights
10.1093/pnasnexus/pgae011 · 2024 · External reference
10.1177/0272989x211068019
10.1177/0272989x211068019 · External reference
10.1186/s41512-019-0064-7
10.1186/s41512-019-0064-7 · External reference
Decision curve analysis to evaluate the clinical benefit of prediction models
10.1016/j.spinee.2021.02.024 · 2021 · External reference
Counterfactual explanations without opening the black box: automated decisions and the GDPR
2018 · External reference
Estimation and inference of heterogeneous treatment effects using random forests
10.1080/01621459.2017.1319839 · 2018 · External reference
Applications of deep learning in molecule generation and molecular property prediction
10.1021/acs.accounts.0c00699 · 2021 · External reference
Bayesian ordered lattice design for phase I clinical trials
2025 · External reference
I-SPY 2: a neoadjuvant adaptive clinical trial designed to improve outcomes in high-risk breast cancer
10.1007/s12609-019-00334-2 · 2019 · External reference
Doubly robust estimation in causal inference with missing outcomes: with an application to the Aerobics Center Longitudinal Study
10.1016/j.csda.2021.107399 · 2022 · External reference
Unresolved reference
External reference
Do no harm: a roadmap for responsible machine learning for health care
10.1038/s41591-019-0548-6 · 2019 · External reference
The FAIR guiding principles for scientific data management and stewardship
10.1038/sdata.2016.18 · 2016 · External reference
Marginal structural models in clinical research: when and how to use them?
10.1093/ndt/gfw341 · 2017 · External reference
Estimation of clinical trial success rates and related parameters
10.1093/biostatistics/kxy072 · 2019 · External reference
Master protocols to study multiple therapies, multiple diseases, or both
10.1056/nejmra1510062 · 2017 · External reference
Estimated research and development investment needed to bring a new medicine to market, 2009-2018
10.1001/jama.2020.1166 · 2020 · External reference
Phase I-II clinical trial design: a state-of-the-art paradigm for dose finding
10.1093/annonc/mdx795 · 2018 · External reference
10.1158/1078-0432.ccr-16-0592
10.1158/1078-0432.ccr-16-0592 · External reference
10.1056/nejmsa1012065
10.1056/nejmsa1012065 · External reference
Robust variable selection methods with Cox model—a selective practical benchmark study
10.1093/bib/bbae508 · 2024 · External reference
10.1080/01621459.2012.695674
10.1080/01621459.2012.695674 · External reference
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
10.1038/s41587-019-0224-x · 2019 · External reference
10.1002/cpt.1475
10.1002/cpt.1475 · External reference
Modeling polypharmacy side effects with graph convolutional networks
10.1093/bioinformatics/bty294 · 2018 · External reference
Real-world evidence and real-world data for evaluating drug safety and effectiveness
10.1001/jama.2018.10136 · ExternalCitation · doi-reference
Estimated research and development investment needed to bring a new medicine to market, 2009-2018
10.1001/jama.2020.1166 · ExternalCitation · doi-reference
An economic perspective on platform trials—the gift and the curse
10.1001/jamanetworkopen.2022.21149 · ExternalCitation · doi-reference
Costs of drug development and research and development intensity in the US, 2000-2018
10.1001/jamanetworkopen.2024.15445 · ExternalCitation · doi-reference
An economic approach to clinical trial design and research priority-setting
10.1002/(sici)1099-1050(199611)5:6<513::aid-hec237>3.0.co;2-9 · ExternalCitation · doi-reference
A modern Bayesian look at the multi-armed bandit
10.1002/asmb.874 · ExternalCitation · doi-reference
10.1002/cpt.1475
10.1002/cpt.1475 · ExternalCitation · doi-reference
A survey of software tool utilization and capabilities for quantitative systems pharmacology: what we have and what we need
10.1002/psp4.12373 · ExternalCitation · doi-reference
Applications of quantitative systems pharmacology in model-informed drug discovery: perspective on impact and opportunities
10.1002/psp4.12463 · ExternalCitation · doi-reference
10.1002/sim.2956
10.1002/sim.2956 · ExternalCitation · doi-reference
A note on Platt’s probabilistic outputs for support vector machines
10.1007/s10994-007-5018-6 · ExternalCitation · doi-reference
I-SPY 2: a neoadjuvant adaptive clinical trial designed to improve outcomes in high-risk breast cancer
10.1007/s12609-019-00334-2 · ExternalCitation · doi-reference
10.1007/s43441-020-00209-0
10.1007/s43441-020-00209-0 · ExternalCitation · doi-reference
Diagnostic verification of probability forecasts
10.1016/0169-2070(92)90028-8 · ExternalCitation · doi-reference
Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: the Apple Heart Study
10.1016/j.ahj.2018.09.002 · ExternalCitation · doi-reference
Artificial Intelligence and the future of clinical trials
10.1016/j.conctc.2025.101545 · ExternalCitation · doi-reference
Doubly robust estimation in causal inference with missing outcomes: with an application to the Aerobics Center Longitudinal Study
10.1016/j.csda.2021.107399 · ExternalCitation · doi-reference
Benchmarking R&D success rates of leading pharmaceutical companies: an empirical analysis of FDA approvals (2006–2022)
10.1016/j.drudis.2025.104291 · ExternalCitation · doi-reference
Radiomics: extracting more information from medical images using advanced feature analysis
10.1016/j.ejca.2011.11.036 · ExternalCitation · doi-reference
Temporal fusion transformers for interpretable multi-horizon time series forecasting
10.1016/j.ijforecast.2021.03.012 · ExternalCitation · doi-reference
Artificial intelligence in clinical trials: a comprehensive review of opportunities, challenges, and future directions
10.1016/j.ijmedinf.2025.106141 · ExternalCitation · doi-reference
Learning from vertically distributed data across multiple sites: an efficient privacy-preserving algorithm for Cox proportional hazards model with variable selection
10.1016/j.jbi.2023.104581 · ExternalCitation · doi-reference
Innovation in the pharmaceutical industry: new estimates of R&D costs
10.1016/j.jhealeco.2016.01.012 · ExternalCitation · doi-reference
Decision curve analysis to evaluate the clinical benefit of prediction models
10.1016/j.spinee.2021.02.024 · ExternalCitation · doi-reference
Applications of deep learning in molecule generation and molecular property prediction
10.1021/acs.accounts.0c00699 · ExternalCitation · doi-reference
Multitask learning
10.1023/a:1007379606734 · ExternalCitation · doi-reference
Random forests
10.1023/a:1010933404324 · ExternalCitation · doi-reference
Clinical development success rates for investigational drugs
10.1038/nbt.2786 · ExternalCitation · doi-reference
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
10.1038/ncomms5006 · ExternalCitation · doi-reference
The support of human genetic evidence for approved drug indications
10.1038/ng.3314 · ExternalCitation · doi-reference
Can the pharmaceutical industry reduce attrition rates?
10.1038/nrd1470 · ExternalCitation · doi-reference
10.1038/nrd1927
10.1038/nrd1927 · ExternalCitation · doi-reference
How to improve R&D productivity: the pharmaceutical industry’s grand challenge
10.1038/nrd3078 · ExternalCitation · doi-reference
The personal and clinical utility of polygenic risk scores
10.1038/s41576-018-0018-x · ExternalCitation · doi-reference
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
10.1038/s41587-019-0224-x · ExternalCitation · doi-reference
Do no harm: a roadmap for responsible machine learning for health care
10.1038/s41591-019-0548-6 · ExternalCitation · doi-reference
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
10.1038/s41591-020-1034-x · ExternalCitation · doi-reference
Federated learning for predicting clinical outcomes in patients with COVID-19
10.1038/s41591-021-01506-3 · ExternalCitation · doi-reference
Evidentiary basis of the first regulatory qualification of a digital primary efficacy endpoint
10.1038/s41598-024-80177-9 · ExternalCitation · doi-reference
Developing a delivery science for artificial intelligence in healthcare
10.1038/s41746-020-00318-y · ExternalCitation · doi-reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · ExternalCitation · doi-reference
Machine learning for medical imaging: methodological failures and recommendations for the future
10.1038/s41746-022-00592-y · ExternalCitation · doi-reference
A scoping review of artificial intelligence applications in clinical trial risk assessment
10.1038/s41746-025-01886-7 · ExternalCitation · doi-reference
10.1038/s42256-019-0138-9
10.1038/s42256-019-0138-9 · ExternalCitation · doi-reference
The FAIR guiding principles for scientific data management and stewardship
10.1038/sdata.2016.18 · ExternalCitation · doi-reference
Deep patient: an unsupervised representation to predict the future of patients from the electronic health records
10.1038/srep26094 · ExternalCitation · doi-reference
Master protocols to study multiple therapies, multiple diseases, or both
10.1056/nejmra1510062 · ExternalCitation · doi-reference
10.1056/nejmsa1012065
10.1056/nejmsa1012065 · ExternalCitation · doi-reference
Recursive partitioning for heterogeneous causal effects
10.1073/pnas.1510489113 · ExternalCitation · doi-reference
10.1073/pnas.1804597116
10.1073/pnas.1804597116 · ExternalCitation · doi-reference
10.1080/00273171.2011.568786
10.1080/00273171.2011.568786 · ExternalCitation · doi-reference
10.1080/01621459.2012.695674
10.1080/01621459.2012.695674 · ExternalCitation · doi-reference
Estimation and inference of heterogeneous treatment effects using random forests
10.1080/01621459.2017.1319839 · ExternalCitation · doi-reference
Statistical modeling of clinical trials (recruitment and randomization)
10.1080/03610926.2011.581189 · ExternalCitation · doi-reference
Peeking inside the black box: visualizing statistical learning with plots of individual conditional expectation
10.1080/10618600.2014.907095 · ExternalCitation · doi-reference
Knowledge graphs and their applications in drug discovery
10.1080/17460441.2021.1910673 · ExternalCitation · doi-reference
An update on knowledge graphs and their current and potential applications in drug discovery
10.1080/17460441.2025.2490253 · ExternalCitation · doi-reference
Phase I-II clinical trial design: a state-of-the-art paradigm for dose finding
10.1093/annonc/mdx795 · ExternalCitation · doi-reference
Robust variable selection methods with Cox model—a selective practical benchmark study
10.1093/bib/bbae508 · ExternalCitation · doi-reference
Modeling polypharmacy side effects with graph convolutional networks
10.1093/bioinformatics/bty294 · ExternalCitation · doi-reference
Deep learning with multimodal representation for pancancer prognosis prediction
10.1093/bioinformatics/btz342 · ExternalCitation · doi-reference
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
10.1093/bioinformatics/btz682 · ExternalCitation · doi-reference
On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
10.1093/biomet/25.3-4.285 · ExternalCitation · doi-reference
Using negative controls to identify causal effects with invalid instrumental variables
10.1093/biomet/asae064 · ExternalCitation · doi-reference
Estimation of clinical trial success rates and related parameters
10.1093/biostatistics/kxy072 · ExternalCitation · doi-reference
Principles of large-scale evidence generation and evaluation across a network of databases (LEGEND)
10.1093/jamia/ocaa103 · ExternalCitation · doi-reference
Open targets platform: supporting systematic drug-target identification and prioritisation
10.1093/nar/gkaa1027 · ExternalCitation · doi-reference
Marginal structural models in clinical research: when and how to use them?
10.1093/ndt/gfw341 · ExternalCitation · doi-reference
Decoding the genetic symphony: profiling protein-coding and long noncoding RNA expression in T-acute lymphoblastic leukemia for clinical insights
10.1093/pnasnexus/pgae011 · ExternalCitation · doi-reference
Improving reproducibility by using high-throughput observational studies with empirical calibration
10.1098/rsta.2017.0356 · ExternalCitation · doi-reference
10.1101/513945
10.1101/513945 · ExternalCitation · doi-reference
Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis
10.1109/jbhi.2017.2767063 · ExternalCitation · doi-reference
Multimodal machine learning: a survey and taxonomy
10.1109/tpami.2018.2798607 · ExternalCitation · doi-reference
Optimal dynamic treatment regimes
10.1111/1467-9868.00389 · ExternalCitation · doi-reference
Double/debiased machine learning for treatment and structural parameters
10.1111/ectj.12097 · ExternalCitation · doi-reference
Regression shrinkage and selection via the Lasso: a retrospective
10.1111/j.1467-9868.2011.00771.x · ExternalCitation · doi-reference
Group sequential tests for delayed responses (with discussion)
10.1111/j.1467-9868.2012.01030.x · ExternalCitation · doi-reference
10.1126/scitranslmed.3001807
10.1126/scitranslmed.3001807 · ExternalCitation · doi-reference
Launching PCORnet, a national patient-centered clinical research network
10.1136/amiajnl-2014-002747 · ExternalCitation · doi-reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · ExternalCitation · doi-reference
k-anonymity: a model for protecting privacy
10.1142/s0218488502001648 · ExternalCitation · doi-reference
Anomaly detection: a survey
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A survey on concept drift adaptation
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