Computational Biology

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.

The Validation Bottleneck

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.