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Modern health care faces several serious challenges, including an ageing population and its inherent burden of chronic diseases, rising costs and marginal quality metrics. By assessing and optimizing the health trajectory of each individual using a data-driven personalized approach that reflects their genetics, behaviour and environment, we can start to address these challenges. This assessment includes longitudinal phenome measures, such as the blood proteome and metabolome, gut microbiome composition and function, and lifestyle and behaviour through wearables and questionnaires. Here, we review ongoing large-scale genomics and longitudinal phenomics efforts and the powerful insights they provide into wellness. We describe our vision for the transformation of the current health care from disease-oriented to data-driven, wellness-oriented and personalized population health.
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http://dx.doi.org/10.1038/s41576-023-00674-x | DOI Listing |
BMC Nurs
September 2025
Institute of Business Administration and Business Informatics, IT for the Caring Society, University of Hildesheim, Hildesheim, Germany.
Background: As populations age, informal caregivers play an increasingly vital role in long-term care, with 80% of care provided by family members in Europe. However, many individuals do not immediately recognize themselves as caregivers, especially in the early stages. This lack of awareness can increase physical and emotional stress and delay access to support services.
View Article and Find Full Text PDFAnn Surg Oncol
September 2025
Department of Surgery, Division of Surgical Oncology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.
Geroscience
September 2025
Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
This study aims to investigate the predictive value of combined phenotypic age and phenotypic age acceleration (PhenoAgeAccel) for benign prostatic hyperplasia (BPH) and develop a machine learning-based risk prediction model to inform precision prevention and clinical management strategies. The study analyzed data from 784 male participants in the US National Health and Nutrition Examination Survey (NHANES, 2001-2008). Phenotypic age was derived from chronological age and nine serum biomarkers.
View Article and Find Full Text PDFClin Rheumatol
September 2025
Histocompatibility Department, Hedi Chaker UH, University of Sfax, Sfax, Tunisia.
Objective: Systemic sclerosis (SSc) is a complex autoimmune connective tissue disease. Genetic factors may play a pivotal role in determining susceptibility to these disorders. HLA associations with SSc, especially HLA class II, were investigated in different populations but not in Tunisia.
View Article and Find Full Text PDFEur Spine J
September 2025
Centre Hospitalier Universitaire de Tours, Tours, France.
Purpose: Degenerative lumbar spinal stenosis (DLSS) represents an increasing challenge due to the aging population. The natural course of untreated DLSS is largely unknown. For the acute DLSS decompensations, the main concern remains the opportunity and timing of surgery, i.
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