Triomics builds AI for oncology, a specialty where the volume and complexity of relevant information exceeds what any clinician can hold. Cancer care decisions depend on genomic markers, treatment history, current guidelines and available clinical trials, and the relevant evidence changes continuously.
Clinical trial matching is the clearest application. Trial eligibility criteria are long and highly specific, patient records are unstructured, and matching the two manually is slow enough that eligible patients are routinely missed. That is a genuine loss both for the patient, who misses a treatment option, and for the trial, which struggles to recruit.
This is clinical infrastructure operating in a regulated environment, so it supports clinician decisions rather than making them. Evaluation belongs with the clinical and informatics teams who will validate its outputs against their own patient population.
