A major review led by Chinese researchers (吕宇轩, 鲜波, 朱健康) outlines a new paradigm: using short‑lived animal models (nematodes, killifish) with automated monitoring and AI pattern recognition to accelerate drug discovery. This validates our proposed direction for AI‑assisted senomorphic screening.
Researchers trained a temporal AI model (MaxToki) on nearly 1 trillion gene tokens across the human lifespan. The model predicted novel age‑modulating targets, which were experimentally verified in vivo. This represents a powerful new tool for discovering interventions.
An AI‑driven robotics laboratory identified a TNIK inhibitor as a potent senomorphic agent (suppressing the SASP without killing senescent cells). This is the first AI‑discovered senomorphic and demonstrates the feasibility of our proposed preclinical screen.