AI Bioage Clocks, Retinal & Digital Twin Tools, Blood Biomarkers
Key Questions
How are CT scans being used to measure biological age?
AI applied to routine CT imaging can extract biomarkers that serve as a scalable alternative to expensive omics clocks, potentially democratizing biological age measurement. A Mass General Brigham study linked thymus health from CT scans to risks of heart disease and cancer.
What blood-based tools can predict cell-type specific aging risks?
A Nature Medicine study decoded cellular aging clocks from blood proteomics, revealing cell-type-specific risk predictions such as astrocytes linked to Alzheimer's, muscle to ALS, and respiratory cells to lung cancer. Related blood biomarker panels including p-tau217, GFAP, and NFL support early detection of dementia.
How accurate is retinal imaging for estimating biological age?
Retinal age has been validated as a systemic disease biomarker with a mean absolute error of 2.78 years. AI models using retinal scans are emerging alongside other tools like digital twins and multi-omic frameworks for longevity assessment.
Longevitix launched AI platform for longevity clinic data synthesis. 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. 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.