Longevity AI Hub

Longevitix launched AI-powered platform for longevity clinics to unify patient data (wearables, labs, history) into personalized plans, targeting medi-spas and direct primary care. New study links lower biological age to brain protection (41% lower stroke risk per jump). MetFoundation metabolomic model, Agediff, 150AGE ring, organ/ovarian twins; Nature Aging DL Alzheimer's predictor; UCSF/WVU MRI (92.8% AD), retinal AI, iAge; Google Co-Scientist aids senolytic discovery; explainable AI frailty prediction. AI4L open-source evidence review tool. Blood biomarker panel (p-tau217, GFAP, NFL) for early-onset dementia; p-tau217+another matches PET; GPND-AI >90% accuracy; ARIA blood test; beta-synuclein as early Alzheimer's biomarker. Major collaboration: Insilico Medicine and Human Longevity building first AI foundation model for longevity science. Human Life Foundation $599 WGS+AI. Cross-species transcriptomic integration revealed conserved mortality signatures and modular aging clocks (CDKN1A/LGALS3), with TACO online tool. Retinal age validated as systemic disease biomarker (MAE 2.78 years). Aubrey AI research copilot; ProtAIDe-Dx proteomics model differentiates six neurodegenerative conditions. Horvath's 353 CpG clock and GrimAge derivatives. New AI models (Stack, X-Cell, ESM2) simulate living cells for drug discovery. Kakao Ventures invested in Tab Zero (consumer digital twin). Gero named World Economic Forum 2026 Technology Pioneer and raised $17M (total $34M) for AI-driven aging modeling. New consumer AI platform 'Longevity or BS' launched. Digital twins increasingly discussed in Alzheimer's context; a recent academic paper explores language-based digital twins for elderly cognitive monitoring (MCI). ICC global longevity summit highlighted AI and human digital twins. New practical AI content: video guide on using Gemini and NotebookLM to interpret blood test results, interview with XPRIZE Healthspan participant Dr. Clinton Hughes. Mass General Brigham study applied AI to thymus CT scans, linking thymus health to heart disease and cancer risk. A scalable AI-guided multi-omic framework combining causal genetics to prioritize therapeutic targets. New: Latent Labs (Simon Kohl, ex-AlphaFold) building AI agents for drug design, compressing timelines from 18 months to one month. New: A liver aging clock using ML predicts all-cause mortality. A recent Nature Medicine study decoded cellular aging clocks from blood proteomics, revealing cell-type-specific risk predictions (astrocytes→Alzheimer's, muscle→ALS, respiratory→lung cancer). New: CT imaging biomarkers emerging as a practical, scalable alternative to expensive omics clocks, with AI extraction from routine scans potentially democratizing biological age measurement. New preprint: multimodal brain age prediction from 24k UK Biobank participants using 3D DenseNet reveals modality-specific disease risk predictions (diabetes, dementia) and causal lifestyle factors, adding nuance to brain age as a biomarker family. Recent additions: AI-enabled organoid platforms for drug testing; new anti-lipid antibody biomarkers for immune aging (Tufts); interpretable ML frailty model (APLR) using NHANES.