ARC · Cambridge Computer Science × Clinical Medicine Joint Lab
Let medical progress
outrun disease.
Kangjian Research is an all-Cambridge computer science PhD team. In ARC, our joint lab for computer science and clinical medicine, we work alongside clinical departments and turn frontier computing into faster medicine.
Who we are
An all-Cambridge computer science PhD team, embedded in the clinic
Kangjian Research (Wuhan Kangjian Medical Technology Co., Ltd.) is built on ARC, a joint laboratory for computer science and clinical medicine. Our core members all graduated from the University of Cambridge Department of Computer Science and Technology. We work with leading tertiary hospitals across China to turn frontier algorithms into products clinicians actually use.
Research depth
Our research covers machine learning, computer vision, computer graphics and medical AI, with results published at NeurIPS, ICLR, ECCV, MICCAI and other leading venues.
Embedded in the clinic
Our forward-deployed scientists (FDS) are stationed inside clinical departments, defining research problems from real clinical needs side by side with clinicians.
China–UK dual channel
Rooted in Wuhan and connected to Cambridge, we run one team across two sites, with the research base and the channels to bring results into practice and to overseas markets.
Our model
Replicable, scalable, high-reuse clinical translation
Each project begins in one department and grows along three mutually reinforcing paths, from a single site to a nationwide and then global network.
Proven at lighthouse sites
We prove the full research-to-product workflow in lighthouse departments, then replicate it across hospitals and diseases at declining marginal cost.
Research as outreach
We develop the field's standards together with leading departments, and adoption travels through the profession's own channels, from one hospital to a national network.
Topics become product lines
The same data pipelines, models and engineering stack serve every project, and each research topic matures into a subscription product line.
Case studies
Two product lines in motion
Digital Brain TwinDetails coming soon
We inverse-reconstruct an individualised whole-brain computational model from multimodal clinical data: sharper pre-operative planning, more precise intra-operative navigation and a fuller view of recovery.
Immune HorizonDetails coming soon
From one routine blood draw, AI projects the patient's immune trajectory forward and predicts infection days in advance, moving care from reactive treatment to early prevention across the full course of disease.
Safety & Ethics
Red lines we hold
Assistance, not replacement: our systems surface information for decisions; the final judgement always stays with the user.
Data minimisation: we collect only the data a service directly needs; sensitive data never leaves its domain and is processed locally.
Demos stay separate: all public demonstrations run on synthetic data, fully isolated from real systems.
Security before features: default-deny and least privilege, with a security review before every public release.
Contact
Work with us
We welcome conversations with hospital departments, research groups and industry partners on clinical validation, joint R&D and IP collaboration. Investors are welcome to reach us by email.
Business and collaboration: g.zl at outlook.com
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