Pipeline — Research today, care tomorrow.
Every programme below is research & development — not yet clinically available.
These programmes are how OnKommon invests in the next decade of precision oncology. They are shared for transparency about our direction. None is offered as a clinical service today, and none should be interpreted as available for patient care until it completes validation and regulatory review.
Research today, care tomorrow. Every programme below is research & development — not yet clinically available. These programmes are how OnKommon invests in the next decade of precision oncology. They are shared for transparency about our direction. None is offered as a clinical service today, and none should be interpreted as available for patient care until it completes validation and regulatory review.
Histocommon AI™
Computational pathology that reads the standard H&E tumour slide with AI to predict molecular features and support faster, richer diagnosis — extracting more signal from a resource every cancer patient already has.
Digital Twin Oncology™ — our north star
The programme every other strand feeds: a validated computational twin of an individual's cancer, integrating genomic, clonal, immune, and clinical data, in which candidate therapies can be simulated before they are given to the patient. This is the fullest expression of "because every life deserves every option" — exploring options in silico to find the right one faster.
Dendritic Cell Vaccine Screening™
A screening approach for personalised neoantigen immunotherapy — identifying the tumour-specific targets most likely to provoke an effective immune response, to inform individualised immunotherapy strategies.
In Vivo Avatars (Drosophila)™
Functional "avatars" — fruit-fly (Drosophila) models engineered to carry a patient's tumour alterations — used to rapidly test how combinations of drugs behave against that specific genetic makeup, a fast and scalable complement to computational prediction.
Spatial Immune Atlas™
Spatial multi-omics that maps not just which cells are present in a tumour but where they sit in relation to each other — revealing the immune microenvironment in situ to sharpen immunotherapy decisions and feed the digital twin.
Federated Evidence Network™
A privacy-preserving research network that lets the interpretation engine learn across many sites without patient data ever leaving its institution — improving accuracy for everyone while keeping data local and governed. The infrastructure that lets the whole platform get smarter, safely.
Read deeper. Test functionally. Learn across sites. Simulate everything.
Histocommon AI + Spatial Immune Atlas
Extract more from every tumour.
Dendritic Cell + Drosophila Avatars
Test responses in living/biological systems.
Federated Evidence Network
Improve the engine while protecting privacy.
Digital Twin Oncology
Options explored before they are given.
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