Christopher R. S. Banerji

University College London Hospitals NHS Foundation Trust — United Kingdom

Biochemistry, Genetics and Molecular Biology · Life Sciences

17h-index987citations67works1.82yr avg
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Research Topics

Muscle Physiology and Disorders(33), RNA Research and Splicing(11), Cardiomyopathy and Myosin Studies(11), Genetic Neurodegenerative Diseases(10), Mitochondrial Function and Pathology(6)

Publications67 total

Normal breast tissue (NBT)-classifiers: advancing compartment classification in normal breast histology
npj Breast Cancer·2026Open Access
Hypergraphs and simplicial complexes in focus: A roadmap for future research in higher-order interactions
Journal of Physics Complexity·2026Open Access
Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions
Nature Communications·2025Open Access
Clinical Phenotypes in Hypertension: A Data-Driven Approach to Risk Stratification
Hypertension·2025· 1 citedOpen Access
Mitochondrial Respiratory Chain Function is crucial for Muscle Toxicity in Facioscapulohumeral Muscular Dystrophy
bioRxiv (Cold Spring Harbor Laboratory)·2025Open Access
CEBPβ regulates myoblast proliferation and myogenic differentiation during human myogenesis and rescues defective differentiation in FSHD
2025Open Access
Conformal prediction quantifies wearable cuffless blood pressure with certainty
Scientific Reports·2025· 3 citedOpen Access
Clinicians must participate in the development of multimodal AI
EClinicalMedicine·2025· 4 citedOpen Access
Supplementary File from MANIFEST: Multiomic Platform for Cancer Immunotherapy
2025Open Access
Supplementary Table 1 from MANIFEST: Multiomic Platform for Cancer Immunotherapy
2025Open Access
MANIFEST: Multiomic Platform for Cancer Immunotherapy
Cancer Discovery·2025· 3 citedOpen Access
Data from MANIFEST: Multiomic Platform for Cancer Immunotherapy
2025Open Access
Normal Breast Tissue (NBT)-Classifiers: Advancing Compartment Classification in Normal Breast Histology
2025Open Access
Clinical phenotypes in hypertension: a data-driven approach to risk stratification and outcome prediction
2025· 1 citedOpen Access
Personalized uncertainty quantification in artificial intelligence
Nature Machine Intelligence·2025· 13 citedOpen Access
Train clinical AI to reason like a team of doctors
Nature·2025· 6 citedOpen Access
Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions
arXiv (Cornell University)·2025· 1 citedOpen Access
Normal Breast Tissue Classifiers Assess Large-Scale Tissue Compartments with High Accuracy
SSRN Electronic Journal·2025Open Access
Artificial intelligence and machine learning in dermatological research and healthcare: British Society for Investigative Dermatology Skin Club Report, Southampton, April 2024
British Journal of Dermatology·2024· 1 cited
Deep learning as Ricci flow
Scientific Reports·2024· 2 citedOpen Access
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Frequent Co-authors

Peter S. Zammit(26), Ben D. MacArthur(9), Maryna Panamarova(7), Simone Severini(7), Johanna Prüller(6), Philipp Heher(6), Alexandra Tassin(6), Anne‐Émilie Declèves(6), Tapabrata Chakraborti(6), Chris Harbron(5), Thuy-Hang Nguyen(5), Lise Paprzycki(5), Alexandre Legrand(5), Alexandra Belayew(5), Anthony Baptista(5), Louise A. Moyle(4), Andrew E. Teschendorff(4), Massimo Ganassi(4), Sihame Bouhmidi(4), Paul Knopp(3)