Publications

Peer-reviewed papers & preprints.

Foundation models for IVF, federated learning for clinical trial emulation, NLP for medical data — and adjacent work.

2026

npj Digital Medicine Featured

Trial emulation for validating the clinical efficacy of a foundational AI model in embryo selection

S. Rajendran, J. E. Malmsten, L. B. Arnal, and 4 more authors

npj Digital Medicine · 2026

2025

npj Digital Medicine

Federated learning for clinical trial emulation: a case study in sepsis

S. Rajendran and others

npj Digital Medicine · 2025

Nature Communications Featured

A foundational model for in vitro fertilization trained on 18 million time-lapse images

S. Rajendran, E. Rehani, W. Phu, and others

Nature Communications · 2025

Nature Communications

Steroids and subphenotypes of sepsis: a multicentre cohort study

S. Rajendran and others

Nature Communications · 2025

medRxiv

TrialGenie: Automating Clinical Trial Design and Emulation with Agents

S. Rajendran and others

medRxiv · 2025

2024

Nature Communications

BELA: A fully automated AI-based system for assessing IVF embryo quality

S. Rajendran and others

Nature Communications · 2024

Cell Patterns

Cross-Cohort Cross-Category Learning (C4) and its importance in the future of healthcare AI

S. Rajendran and others

Cell Patterns · 2024

2023

iScience

Biomedical Discovery through the integrative Biomedical Knowledge Hub (iBKH)

S. Rajendran and others

iScience · 2023

PLOS Digital Health

Data heterogeneity in federated learning with Electronic Health Records

S. Rajendran and others

PLOS Digital Health · 2023

Lancet Digital Health

Development of non-invasive artificial intelligence models for the prediction of human blastocyst ploidy

S. Rajendran and others

Lancet Digital Health · 2023