Taming EHR data: Using Semantic Similarity to reduce Dimensionality. - Leila Kalankesh; James Weatherall; Thamer Ba Dhafari; Iain E. Buchan; Andy Brass (MedInfo, 2013)

Weak Classifiers Performance Measure in Handling Noisy Clinical Trial Data. - Ezzatul Akmal Kamaru-Zaman; Andrew Brass; James Weatherall; Shuzlina Abdul Rahman (SCDS, 2016)

Ranking Biomarkers Through Mutual Information. - Konstantinos Sechidis; Emily Turner; Paul D. Metcalfe; James Weatherall; Gavin Brown 001 (CoRR, 2016)

Toward an Understanding of Adversarial Examples in Clinical Trials. - Konstantinos Papangelou; Konstantinos Sechidis; James Weatherall; Gavin Brown 001 (ECML/PKDD (1), 2018)

Distinguishing prognostic and predictive biomarkers: an information theoretic approach. - Konstantinos Sechidis; Konstantinos Papangelou; Paul D. Metcalfe; David Svensson; James Weatherall; Gavin Brown 001 (Bioinform., 2018)

The Tendril Plot - a novel visual summary of the incidence, significance and temporal aspects of adverse events in clinical trials. - Martin Karpefors; James Weatherall (J. Am. Medical Informatics Assoc., 2018)

On the Stability of Feature Selection in the Presence of Feature Correlations. - Konstantinos Sechidis; Konstantinos Papangelou; Sarah Nogueira; James Weatherall; Gavin Brown 001 (ECML/PKDD (1), 2019)

Biomarker data visualisation for decision making in clinical trials. - Alan Davies; Marisa Cunha; Kamilla Kopec-Harding; Paul D. Metcalfe; James Weatherall; Caroline Jay (Int. J. Medical Informatics, 2019)

Efficient feature selection using shrinkage estimators. - Konstantinos Sechidis; Laura Azzimonti; Adam Craig Pocock; Giorgio Corani; James Weatherall; Gavin Brown 001 (Mach. Learn., 2019)

Uncovering Machine Learning-Ready Data from Public Clinical Trial Resources: A case-study on normalization across Aggregate Content of ClinicalTrials.gov. - Emmette R. Hutchison; Youyi Zhang; Sreenath Nampally; James Weatherall; Faisal M. Khan; Khader Shameer (BIBM, 2020)

Correction to: Efficient feature selection using shrinkage estimators. - Konstantinos Sechidis; Laura Azzimonti; Adam Craig Pocock; Giorgio Corani; James Weatherall; Gavin Brown 001 (Mach. Learn., 2020)

Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation. - Alicia Curth; David Svensson; James Weatherall; Mihaela van der Schaar (NeurIPS Datasets and Benchmarks, 2021)

TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials. - Christopher Yacoumatos; Stefano Bragaglia; Anshul Kanakia; Nils Svangård; Jonathan Mangion; Claire Donoghue; James Weatherall; Faisal M. Khan; Khader Shameer (CoRR, 2021)

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models. - Samuel Holt; Zhaozhi Qian; Tennison Liu; James Weatherall; Mihaela van der Schaar (NeurIPS, 2024)

Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding. - Nabeel Seedat; Caterina Tozzi; Andrea Hita Ardiaca; Mihaela van der Schaar; James Weatherall; Adam Taylor (CoRR, 2024)

Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation. - Mihaela van der Schaar; Richard W. Peck; Eoin F. McKinney; James Weatherall; Stuart Bailey; Justine Rochon; Chris Anagnostopoulos; Pierre Marquet; Anthony Wood; Nicky Best; Harry Amad; Julianna Piskorz; et al. (CoRR, 2025)