OncoMatch

Elevator Pitch: OncoMatch revolutionizes how cancer patients are connected to clinical trials. By employing state-of-the-art AI, we ensure that patients can rapidly find trials best suited for their treatment, helping healthcare providers and pharmaceutical companies streamline recruitment, ultimately accelerating the pace of medical advancements and saving lives.

Concept

A platform leveraging AI to match cancer patients with appropriate clinical trials.

Objective

To streamline the process of matching cancer patients to suitable clinical trials using advanced AI models.

Solution

Utilizing the OncoLLM model for accurate matching of patient EHRs with clinical trial criteria, minimizing manual labor and maximizing trial enrollment opportunities.

Revenue Model

Subscription fees from healthcare providers and pharmaceutical companies, along with service fees for integration and consultancy.

Target Market

Cancer centers, research hospitals, pharmaceutical companies conducting clinical trials.

Expansion Plan

Initially focus on oncology departments in the US, followed by expansion to other disciplines and geographical regions.

Potential Challenges

Data privacy and integration with diverse EHR systems; continuous model updating with new trial criteria and medical knowledge.

Customer Problem

The inefficient, manual matching of patients to clinical trials, causing many to miss out on potential treatments.

Regulatory and Ethical Issues

Compliance with HIPAA and other healthcare regulations; ensuring unbiased AI recommendations and patient data security.

Disruptiveness

Transforming the clinical trial recruitment process by significantly reducing time and increasing the precision of patient-trial matching.