In statistics and machine learning, there’s a tradeoff between precision and recall: tune a system to be more selective and you inevitably miss more true positives. Cancer clinical trials have stumbled into a similar trap. As oncology has shifted from tumor-type-centered studies to gene-directed approaches, eligibility criteria have grown exquisitely precise. Instead of enrolling patients…
Proscia launches ‘Aperture’ AI platform to accelerate clinical trial recruitment at point of diagnosis
Only 7.1% of U.S. adults with cancer enroll in treatment trials (JCO, 2024), a bottleneck that slows drug development and limits access to targeted therapies. Proscia, a Philadelphia-based digital pathology company, aims to address that dynamic with its new tool, Aperture, which uses AI to flag potential candidates right at the point of diagnosis by…
Thermo Fisher’s Jane Li on syncing drugs and diagnostics for precision oncology
Precision medicine promises the “right drug, right patient” mantra. One piece that sometimes goes missing? A test approved on day one. Jane Li has spent two decades making sure that gap closes on schedule. As senior director of pharma CDx and CRO partnerships at Thermo Fisher Scientific, she has an important role in this complex…