Lantern Pharma launches AI-powered module within RADR platform

Lantern Pharma (LTRN) announced the launch of an innovative AI-powered module within its proprietary RADR platform, designed to predict the activity and efficacy of combination regimens involving DNA-damaging agents and DNA damage response inhibitors in clinical cancer treatment. With the global market for combination cancer therapies projected to exceed $50 billion by 2030, growing at a CAGR of 8.5%, this module represents a significant advancement in precision oncology, enabling faster, more cost-effective development of tailored therapeutic regimens. Leveraging this AI-driven framework, Lantern Pharma has successfully architected and achieved FDA clearance for a Phase 1B/2 clinical trial in triple-negative breast cancer, focusing on a novel DDA-DDRi combination regimen with promising preclinical efficacy. In a peer-reviewed study published in Frontiers in Oncology, Clinical outcomes of DNA-damaging agents and DNA damage response inhibitors combinations in cancer: a data-driven review, Lantern Pharma researchers systematically analyzed 221 DDA-DDRi combination-arm clinical trials, involving 22 DDAs and 46 DDRis, to develop this module. The study categorized DDAs into eight subclasses and DDRis into 14 subclasses. From these, 89 trials with interpretable outcomes were scored for clinical effectiveness, safety, and biomarker-driven responses, providing a robust dataset to train the AI module. The new AI module represents a paradigm shift in precision oncology, leveraging machine learning to predict which drug combinations will be most effective for specific patient populations while minimizing toxicity risks. This data-driven approach has already demonstrated its value by successfully guiding the design of Lantern’s FDA-cleared Phase 1B/2 clinical trial combining LP-184 with olaparib in triple-negative breast cancer. The module integrates genomic, transcriptomic, and clinical data to predict synergistic drug interactions, optimize therapeutic outcomes, and identify biomarker-defined patient subpopulations likely to respond to specific combinations. This data-driven approach directly informed the design of Lantern’s FDA-cleared Phase 1B/2 trial in TNBC for LP-184 and olaparib, with potential to improve response rates and reduce toxicity.