Research
Biology first. Then software that hospitals can trust.
Zyogen researches the predictive layer between a wound image and a printable graft: tissue vision, physics-backed formulation, healing forecasts, and audits that keep models honest.
Wound-bed vision
Patch-level tissue maps from clinical imaging: granulation, fibrin, epithelium, necrosis, and related bed conditions clinicians already use to stage intervention.
Deterministic graft physics
Bioink blend, scaffold geometry, and print parameters scored for printability from wet-lab priors. Computed outputs, not generative invention.
Healing and graft-take
Forecasts that connect day-0 tissue mix to likely take path, so teams can pressure-test readiness before committing donor site or printer time.
Interpretability as trust
Internal audits so models key on tissue biology across the grafts we print, not rulers, lighting artifacts, or demographic shortcuts.
How the research lands in product.
Each line of work is built to survive clinical review: measurable inputs, inspectable intermediates, and parameters a lab can run.
- 01
Imaging in
Standard wound photography and clinical context as the entry point.
- 02
Composition out
Tissue fractions that feed both clinical review and the physics stack.
- 03
Printable params
Ink, scaffold, and toolpath constraints locked before the printer runs.
- 04
Sovereign deploy
On-prem and self-hosted paths designed for DPDP and HIPAA-ready hospitals.
Collaboration
Scientific collaboration with Prof. Falguni Pati (HOD Biomedical Engineering, IIT Hyderabad), whose work on decellularized-ECM bioinks anchors the biology side of the stack. We partner with hospital programs and research labs running multi-modal bioprinters.
Interested in a pilot, dataset partnership, or joint study? Work with us.
Work with us
Hospitals, research labs, and partners building the predictive layer for regenerative care.