Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Search results (132)

« Back to Publications

Assessing the Importance of Variation in Diagnostic Coding Among the Three Countries in the UK Biobank.

Clifton L. et al, (2026), Learn Health Syst, 10

Early plasma proteomic alterations precede amyloidosis diagnosis, reflecting cardiac and immune dysregulation

Hasheminasab SA. et al, (2026)

Development and Validation of a Multimodal AI-Based Model for Predicting Post-Prostatectomy Treatment Outcomes from Baseline Biparametric Prostate MRI.

Simon BD. et al, (2026)

Digital morphine: why AI scribes are symptomatic relief for a broken system

Segal B. et al, (2026), BMJ Digital Health & AI, 2, e000030 - e000030

Democratising Clinical AI through Dataset Condensation for Classical Clinical Models

Thakur A. et al, (2026)

Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity.

Molaei S. et al, (2026), IEEE J Biomed Health Inform, 30, 2000 - 2009

When to and when not to use machine learning in risk prediction models.

Clifton L. et al, (2026), Lancet Digit Health, 8

Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals.

Gu X. et al, (2026), Nat Mach Intell, 8, 220 - 233

Associations between disease-specific polygenic risk scores and disease-specific causes of death in the UK Biobank cohort

Liu W. et al, (2025)

Multimorbidity, disease clusters and risk of all-cause and cause-specific mortality: a population-based prospective cohort study.

Littlejohns TJ. et al, (2025), Sci Rep, 15

DrAgent: empowering Large Language Models as medical agents for multi-hop medical reasoning

Liu F. et al, (2025), Findings of the Association for Computational Linguistics: EMNLP 2025, 15656 - 15668

A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates.

Simon BD. et al, (2025), Clin Imaging, 126

A collaborative large language model for drug analysis.

Zhou H. et al, (2025), Nat Biomed Eng

Foundation Models for Biosignals: A Survey

Gu X. et al, (2025)

Beyond correlations: the necessity and the challenges of causal AI

Chauhan VK. et al, (2025)

Load More

1
2
3
4
5
6
7
...
»