ArticleNature medicine2025
Deep phenotyping of health-disease continuum in the Human Phenotype Project.
Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Energy constraint on human health.Trends in endocrinology and metabolism: TEM · 2026Review
- Quantifying the Contributions of Food, Glucose, Sleep, and Microbiome Data to Personalized Glycemic Response Prediction.Current developments in nutrition · 2026Article
- Advancing AI for multi-omics and clinical data integration in basic and translational cancer research.Nature reviews. Cancer · 2026Review
- The promise of adaptive health in the United Arab Emirates and beyond.Nature genetics · 2026Article
- Diet-microbiome associations in 10,068 individuals from the Human Phenotype Project to guide personalized nutrition.Nature medicine · 2026Article
- Objectively measured sleep parameters and bone health: results from the Human Phenotype Project (HPP) cohort.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026Article
- A framework of digital biomarkers for neurodegenerative diseases.Nature reviews bioengineering · 2026Article
- Article
- Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Article
- Gene-diet interactions in cardiovascular disease: insights from nutrigenetics, nutrigenomics, and precision nutrition.Frontiers in nutrition · 2026Review
- Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery.Current oncology (Toronto, Ont.) · 2025Review
- Oculomics meets exposomics: a roadmap for applying multi-modal ocular biomarkers in precision environmental health research.Exposome · 2025Review
- The gut microbiota in high-altitude medicine: intersection of hypoxic adaptation and disease management.Frontiers in microbiology · 2025Review
- Mitochondrial and ER stress crosstalk in TBI: mechanistic insights and therapeutic opportunities.Frontiers in cellular neuroscience · 2025Review
- Health effects of intermittent fasting and the role of artificial intelligence technologies in optimizing its clinical translation.AIMS public health · 2025Review
Corrections and comments
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Authors and funding
38 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective cohort. To date, approximately 28,000 participants have enrolled, with more than 13,000 completing their initial visit. The project is aimed at identifying novel molecular signatures with diagnostic, prognostic and therapeutic value, and at developing artificial intelligence (AI)-based predictive models for disease onset and progression. The HPP includes longitudinal profiling encompassing medical history, lifestyle and nutrition, anthropometrics, blood tests, continuous glucose and sleep monitoring, imaging and multi-omics data, including genetics, transcriptomics, microbiome (gut, vaginal and oral), metabolomics and immune profiling. Analysis of these data highlights the variation of phenotypes with age and ethnicity and unravels molecular signatures of disease by comparison with matched healthy controls. Leveraging extensive dietary and lifestyle data, we identify associations between lifestyle factors and health outcomes. Finally, we present a multi-modal foundation AI model, trained using self-supervised learning on diet and continuous-glucose-monitoring data, that outperforms existing methods in predicting disease onset. This framework can be extended to integrate other modalities and act as a personalized digital twin. In summary, we present a deeply phenotyped cohort that serves as a platform for advancing biomarker discovery, enabling the development of multi-modal AI models and personalized medicine approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.