Randomized Trialmoderate evidence

Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting.

Genome medicine·September 16, 2026·PMID 42754908

Why it matters

Prolonged fasting is increasingly used for metabolic health, but individual responses vary. This study provides evidence that baseline gut microbiome and clinical features can stratify expected weight-loss response, supporting personalized fasting protocols. The model's external validation across diverse cohorts, including metabolic syndrome and multiple sclerosis, strengthens its potential clinical utility.

Infographic summary of Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting.
Visual abstract · MedLit

The papers that matter, first.

MedLit ranks the medical literature into a specialty feed with concise summaries, evidence-aware triage, and visual takeaways.

§

MedLit · Evidence, Distilled