- Lantern’s RADR(R) AI platform is helping identify optimal indications and pathways for precision cancer therapies.
- Dr. Schalop reflects on lessons from developing ONC201, approved for H3K27M-mutant glioma, after a 16-year journey.
- Both leaders highlight the potential for AI to accelerate regulatory reviews and clinical trial design.
- The conversation underscores how AI could reduce oncology drug timelines and costs, improving patient access to new treatments, and how STAR-001, Lantern’s new CNS cancer drug, can benefit from these AI-driven insights.
In oncology, the path from molecule discovery to patient treatment often stretches over a decade and can consume hundreds of millions of dollars. Lantern Pharma (NASDAQ: LTRN), a clinical-stage biotechnology company leveraging artificial intelligence and machine learning to redefine oncology drug development, aims to challenge that timeline.
In a recent discussion titled “From Discovery to Clinical Trials to Patients: Key Decisions Shaping Novel CNS Oncology Medicines,” Lantern CEO Panna Sharma and new board member Dr. Lee Schalop, co-founder of Oncoceutics and a key figure behind the development of ONC201 (dordaviprone), explored how data…
NOTE TO INVESTORS: The latest news and updates relating to LTRN are available in the company’s newsroom at https://ibn.fm/LTRN
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