Lantern Pharma To Showcase Two Of Its Commercially Deployed AI Research Platforms At The Inaugural AI For Biology And Medicine Symposium At The University Of North Texas

Author: Benzinga Newsdesk | October 30, 2025 07:11am

• Lantern showcases two commercially ready, machine learning platforms that have the potential to accelerate drug discovery from months to days and dramatically reduce costs.
• predictBBB.ai and LBx-AI, will both be available as open-access services for Lantern's partners and collaborators and are both being advanced as part of a broader multi-agentic initiative at Lantern Pharma.

Lantern Pharma Inc. (NASDAQ:LTRN)— Lantern today announced it will present two commercially deployed AI research platforms at the inaugural AI for Biology and Medicine (AI4BM) symposium at the University of North Texas. The symposium, hosted by Dr. Serdar Bozdag and the newly established Center for Computational Life Sciences, brings together leading researchers advancing the intersection of artificial intelligence and biomedicine.

The Lantern Pharma team will deliver two presentations demonstrating how machine learning is transforming drug development and precision oncology through specific AI modules that are already delivering value to Lantern's drug development efforts and other pharmaceutical companies and researchers:

• "Machine Learning Ensemble Models for In Silico Screening and Prediction of Blood-Brain Barrier Permeability: A Comprehensive Approach Using Molecular Fingerprints and Descriptors". This presentation will showcase predictBBB.ai, Lantern's commercially deployed platform that achieves 94.1% accuracy in predicting blood-brain barrier permeability—placing it at the top of the Therapeutic Data Commons leaderboard. The platform predicts BBB permeability in days rather than the months or years required by traditional methods, with the ability to screen 200,000 drug candidates in under a week. The ensemble model has been blindly validated on over 1,300 unseen molecules, demonstrating both accuracy and scalability for pharmaceutical companies developing CNS-targeted therapeutics and is available now as a commercial-ready resource.
• "Machine Learning Models for Liquid Biopsy-Based Treatment Response Prediction and Biomarker Discovery in Cancer" Lantern will demonstrate LBx-AI, a production-ready platform that transforms liquid biopsy data into actionable insights with 86% accuracy in predicting treatment response for non-small cell lung cancer patients. Using a novel pathway-level engineering approach, the platform identifies complex biomarkers and pathway analytics that would be missed by traditional single-mutation analysis—with 20 out of 21 significant predictive markers being engineered pathway features. Beyond treatment prediction, LBx-AI can infer solid tumor characteristics from circulating tumor DNA, including accurate prediction of PD-L1 expression levels (0.76 Pearson correlation). Lantern is actively collaborating with world-class research institutions to further validate and improve the models' performance across a number of tumor types, including GBM, and breast cancer.

Lantern believes that the platforms stand apart through three key differentiators: proven commercial deployment, dramatically compressed drug development timelines, and the generation of novel insights previously inaccessible through conventional methods. While traditional BBB permeability testing and biomarker discovery require months to years of laboratory work, Lantern's AI models deliver comprehensive insights for drug development, candidate optimization, and target identification within days—maintaining enterprise-level scalability throughout. This transformation from lengthy experimental cycles to rapid computational analysis represents a fundamental shift in how pharmaceutical companies can approach drug discovery and development.

Posted In: LTRN