Lantern Pharma (NASDAQ: LTRN), an AI-driven oncology drug development company, has launched predictBBB.ai(TM), a public AI module that predicts blood-brain barrier (BBB) permeability of small molecules with 94% accuracy, 95% sensitivity, and 89% specificity. Built on billions of molecular data points from Lantern’s proprietary data lake, the platform addresses the pharmaceutical challenge that only 2–6% of small molecules can cross the BBB. PredictBBB.ai(TM) ranks among the top performers on the Therapeutic Data Commons Leaderboard, leveraging synthetic data augmentation and advanced molecular representation to process compounds in real time. The launch comes as the BBB technologies market is projected to grow from $1.4 billion in 2023 to $9.85 billion by 2032, underscoring strong clinical demand.
To view the full press release, visit https://ibn.fm/z9zo5
About Lantern Pharma
Lantern Pharma (NASDAQ: LTRN) is an AI company transforming the cost, pace, and timeline of oncology drug discovery and development. Our proprietary AI and machine learning (ML) platform, RADR(R), leverages over 100 billion oncology-focused data points and a library of 200+ advanced ML algorithms to help solve billion-dollar, real-world problems in oncology drug development. By harnessing the power of AI and with input from world-class scientific advisors and collaborators, we have accelerated the development of our growing pipeline of therapies that span multiple cancer indications, including both solid tumors and blood cancers and an antibody-drug conjugate (ADC) program. Our lead development programs include a Phase 2 clinical program and multiple Phase 1 clinical trials. Our AI-driven pipeline of innovative product candidates is estimated to have a combined annual market potential of over $15 billion USD and have the potential to provide life-changing therapies to hundreds of thousands of cancer patients across the world.
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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