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The arts, according to a systematic synthesis of data from 95 studies (across 26 countries), may support non-communicable disease prevention by providing opportunities for increased physical activity, and helping to address social forces that contribute to health inequities.
A model developed with data from 19,403 patients with colorectal cancer for prediction of 1-year mortality is used as a decision support tool in a prospective cohort, showing promising results in reducing postoperative complications.
We created and curated three benchmark datasets to assess large language model (LLM) performance on sleep and fitness tasks ranging from answering expert questions to real-world coaching scenarios. Fine-tuning the Gemini LLM on real-world coaching tasks and self-reported sleep-quality outcomes improved its performance and provided a benchmark for further development.
A purpose-built implantable system based on biomimetic epidural electrical stimulation of the spinal cord reduces the severity of hypotensive complications in people with spinal cord injury and improves quality of life.
Interim trial results of MYR-101, a novel recombinant vector with selective tropism for oligodendrocytes, support its tolerability and indicate improved myelination and reduced cerebrospinal fluid N-acetyl-aspartic acid concentrations in children with Canavan disease.
In an observational study comparing individuals with type 2 diabetes and obesity who underwent metabolic surgery with similar individuals who received GLP-1 receptor agonist treatment, metabolic surgery was associated with a lower risk of macrovascular and microvascular outcomes, including major adverse cardiovascular events, nephropathy, retinopathy and all-cause mortality.
A study challenges previous assumptions that the brain’s body map undergoes reorganization after limb amputation, finding that it remains remarkably stable — with implications for brain–computer interfaces and the treatment of phantom limb pain.
The STARD-AI statement, which was developed through a multistage process involving over 240 international stakeholders, provides a minimum set of criteria that allows for comprehensive reporting of AI-centered diagnostic test accuracy studies.
Ophthalmology could be the first medical specialty fundamentally transformed by artificial intelligence. Pearse Keane recalls an early breakthrough in this journey.
Genotype-phenotype data from over 450,000 individuals was analyzed to discover 205 genomic loci where an allele associated with increase adiposity was associated with a lower cardiometabolic disease risk to an individual.
In an irrevocably changed landscape, reform of the global health system needs to answer key questions on functions, what should be delivered in different contexts and at different levels, and how the system should operate.
There are strong indications that MNP exposure negatively impacts human health, but a robust evidence base is lacking. This Review focuses on the current state of the science, offering a critical review of the data, analytical challenges and research priorities.
A retrospective, observational study shows that completion of a diabetes prevention program in England (the NHS Diabetes Prevention Programme) was associated with decreased incidence of type 2 diabetes and long-term conditions such as dementia and chronic obstructive pulmonary disease at 24 months.
We assessed the utility of RNA sequencing in molecular diagnostics by analyzing a large pan-cancer cohort ranging in age from infants to seniors. This technique is highly sensitive for the identification of gene alterations that can guide diagnosis and targeted therapy, and enables additional biological and clinical interpretation of findings beyond standard DNA-sequencing protocols.
