Shilo, S. et al. 10 K: a large-scale prospective longitudinal study in Israel. Eur. J. Epidemiol. 36, 1187–1194 (2021).
Reicher, L. et al. Deep phenotyping of health–disease continuum in the Human Phenotype Project. Nat. Med. 31, 3191–3203 (2025).
Nathan, D. M. et al. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N. Engl. J. Med. 329, 977–986 (1993).
King, P., Peacock, I. & Donnelly, R. The UK prospective diabetes study (UKPDS): clinical and therapeutic implications for type 2 diabetes. Br. J. Clin. Pharmacol. 48, 643–648 (1999).
Gude, F. et al. Glycemic variability and its association with demographics and lifestyles in a general adult population. J. Diabetes Sci. Technol. 11, 780–790 (2017).
Saab, K. et al. Capabilities of Gemini models in medicine. Preprint at https://doi.org/10.48550/arxiv.2404.18416 (2024).
Zhou, Y. et al. A foundation model for generalizable disease detection from retinal images. Nature 622, 156–163 (2023).
Lutsker, G., Rossman, H., Godiva, N. & Segal, E. COMPRER: a multimodal multi-objective pretraining framework for enhanced medical image representation. Preprint at https://doi.org/10.48550/arxiv.2403.09672 (2024).
Yuan, H. et al. Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. npj Digit. Med. 7, 91 (2024).
Thapa, R. et al. SleepFM: multi-modal representation learning for sleep across brain activity, ECG and respiratory signals. Proc. Mach. Learn. Res. 235, 48019–48037 (2024).
... continue reading