Massive Bio offers an AI‑powered platform that consolidates clinical trial data, drug pipelines, and genomic test results into a searchable hub. Its machine‑learning engine matches patients’ clinical profiles and biomarkers to generate real‑time eligibility scores and treatment recommendations, delivered via a secure physician dashboard and patient mobile app.
Funding
Funding not disclosed
Founders
Product
Problem
Patients and clinicians often struggle to locate appropriate, up‑to‑date cancer clinical trials and personalized treatment options because trial information is fragmented across multiple databases and requires manual review of eligibility criteria.
Solution
Massive Bio provides an AI‑powered platform that aggregates clinical trial data, drug pipelines, and genomic test results into a single searchable hub. Its machine‑learning matching engine evaluates a patient’s clinical profile and biomarkers to generate real‑time, evidence‑based treatment recommendations and trial eligibility scores. The service delivers these insights through a secure web dashboard for physicians and a mobile app for patients, enabling faster enrollment and more precise therapy selection without extensive manual effort.
Features
- AI-driven trial matching engine that scores eligibility based on diagnosis, stage, biomarkers, and prior therapies
- Integration of advanced genomic testing results to refine personalized treatment pathways
- Physician portal with customizable dashboards, patient cohorts, and analytics on trial enrollment trends
- Patient‑facing mobile app for self‑service trial search, notification of new opportunities, and secure data upload
- API and FHIR‑compatible connectors for seamless integration with electronic health record (EHR) systems and research databases
- HIPAA‑compliant data storage, end‑to‑end encryption, and role‑based access controls
- Partnership network with oncology societies, insurers, and biotech firms to expand trial listings and data sources
- Real‑time reporting tools for sponsors to monitor recruitment metrics and patient demographics