Bowhead provides an AI‑driven clinical trial matching platform that instantly reads a patient’s molecular profile and connects them to appropriate oncology studies, replacing manual search processes.
Funding
Funding not disclosed
Founders
Product
Problem
Oncologists and clinical trial coordinators must manually search fragmented databases and interpret complex molecular data to identify suitable cancer trials, a process that is time‑consuming, error‑prone, and often outdated.
Solution
Bowhead offers an AI‑driven clinical trial matching platform, Bowhead Navigator™, that instantly reads a patient’s molecular profile and maps it to the most relevant oncology studies. The system builds evidence‑based knowledge graphs from millions of de‑identified data points, applying natural‑language processing and large language models to keep trial information current. Within two minutes, physicians receive guideline‑concordant recommendations and detailed trial eligibility reports, while patient and hospital data remain private through a secure, compliance‑focused infrastructure. The platform also integrates with Bowhead’s end‑to‑end workflow, supporting target identification, biomarker validation, and trial enrollment, creating a closed loop from discovery to patient care.
Target Audience
Primary users are oncologists, precision‑medicine teams, and clinical trial coordinators at cancer centers seeking rapid, accurate trial enrollment solutions.
Features
- AI engine that combines multi‑omics, clinical, and real‑world data into searchable knowledge graphs
- Transparent, auditable reasoning for each trial match, supporting guideline concordance
- Real‑time aggregation of trial eligibility criteria from global sources, refreshed continuously
- Secure, federated architecture that preserves patient privacy and complies with HIPAA, GDPR, and PIPEDA
- Integration with Bowhead Research Lab tools for target validation, biomarker studies, and trial design
- Average response time of under two minutes with over 4 million de‑identified patient profiles processed