Fantom BioLabs is an oncology clinical intelligence platform that turns fragmented medical records into structured patient profiles, longitudinal timelines, and research-grade ML insights. It helps surface missing or conflicting clinical data, track disease dynamics, and identify cases that may require closer review. Built for research use today, with hospital integrations, imaging AI, and locally validated oncology models on our roadmap.
Hi Product Hunt!
We started Fantom BioLabs around a simple question: can we turn fragmented oncology records into a clear longitudinal picture of a patient's disease and eventually help clinicians identify which cases deserve attention sooner?
Today Fantom can structure clinical records, build a patient timeline, surface missing or conflicting data, and run research-grade ML analysis after clinical data is reviewed.
We're intentionally building this as a clinical intelligence platform rather than an AI that replaces physicians. The goal is to give oncology teams better organized data, clearer disease dynamics, and eventually specialized predictive and imaging models that support earlier review.
This is still Research Use Only, and clinical validation is an important part of our next stage.
We'd especially value feedback from oncologists, researchers, digital-health builders, and anyone working with clinical AI.