AI for in-silico prioritization
in healthy ageing research
ArcentLabs is a deep-tech longevity biotechnology company developing multiscale intervention-class neural additive model that predicts whether partial epigenetic reprogramming can deliver safe, functional, and durable rejuvenation across aged tissues. By prioritizing the most promising regimens before costly in vivo studies, we help accelerate the development of rejuvenation therapeutics with greater precision and lower risk.
Reducing uncertainty before validation
Healthy-ageing research requires better ways to prioritize intervention candidates before costly and time-consuming validation studies. GEROTWIN is designed to support earlier, evidence-informed decision-making through high-level computational modeling
What makes GEROTWIN unique
Predicts how aged tissue is expected to respond to senolytics, partial reprogramming, rapamycin-class compounds and related interventions before laboratory testing.
Trained on physiologically aged single-cell atlases rather than young or transformed cell lines.
Counterfactual intervention simulation
Foundation model for aged tissue
Decision-grade uncertainty
Ranks intervention candidates together with calibrated confidence estimates, supporting experimental prioritization rather than replacing scientific judgement.
ArcentLabs
In-silico prioritization for translational ageing biology
Home-GEROTWIN-About-Contact
Contact
partnership@arcentlabs.com
© 2026 ArcentLabs-Computational prioritization for translational ageing biology.
ARCENTLABS • GEROTWIN
