Identifying and enrolling the right patients for clinical trials remains a critical bottleneck, often requiring the screening of up to 100 individuals to find a single eligible candidate.
This challenge is compounded in outpatient settings, where clinicians are often unaware of relevant trials or lack the time to review complex eligibility criteria. As a result, access to potentially life-saving investigational therapies is frequently delayed. Patients themselves often shoulder the burden of researching and identifying suitable trials to share with their physicians.
This webinar presents two real-world examples addressing these challenges:
CureNavi — an AI-first platform spun out of Charité Hospital in Berlin. CureNavi transforms unstructured patient records into actionable insights by:
- Identifying care gaps by comparing treatments against the latest guidelines.
- Building a database of trial-ready patients, enabling sponsors and cancer centers to quadruple enrollment in clinical and investigator-initiated trials.
Drug Repurposing Platform — a first-of-its-kind AI system for rare disease patients that:
- Identifies existing FDA-approved drugs with potential for reuse.
- Recommends relevant existing and planned clinical trials.
We will demonstrate the AI-first workflow that converts unstructured medical records into a structured database of trial-eligible patients and review the technology stack – OCR, LLMs, and AWS Medical Comprehend – powering these solutions.
For leaders in clinical operations, medical affairs, and R&D strategy, this session offers a practical blueprint for using AI to overcome recruitment barriers and accelerate the delivery of new therapies.
Speakers
- Ammara Gafoor: Head of Healthcare and Life Science Solutions – Europe, Thoughtworks
- Gaelle Waltinger: Co-Founder, CureNavi
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