Rebuilding carbon-based life in silicon. We build trustworthy medical AI and, through simulation of virtual mitochondria and digital organs, explore the algorithmic nature of life’s intelligence.
核心研究矩阵
A federated-learning–based, privacy-preserving computation platform for standardized cleaning and structured storage of multi-center medical data — data that is usable but never exposed.
Energy-metabolism modeling of artificial mitochondria and signaling-pathway simulation of virtual cells. We build high-fidelity digital-twin organoids for drug screening and pathology inference.
We release domain foundation models for medicine and maintain OpenMedicalGym, a simulation environment that gives developers worldwide a “digital proving ground” for testing algorithm robustness.
From perception to cognition. We develop medical agents capable of autonomous decision-making, enabling human–AI collaboration in assisted diagnosis, surgical planning and digital-organ maintenance.
研究院发展时间轴
Launching simulation projects for digital heart and liver organoids with tens of millions of parameters, exploring a new paradigm for non-invasive clinical trials.
Won First Prize at the NHC Digital Health Innovation Application Competition and runner-up at the AWS Hackathon, establishing early impact in the field.
Established the IMPF-AI vision and completed the first round of de-identified data collection and the core computing platform.
荣誉与认可
2nd National Digital Health Innovation Application Competition
Best Demo Award
AWS Healthcare AI Competition
We are looking for partners and researchers passionate about computational biology, medical AI and complex-systems simulation. Medical institutions are also welcome to join our de-identified data network.