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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

AINewsBreaks – Lantern Pharma (NASDAQ: LTRN) Reports Q2 2025 Results, Achieves Complete Responses in Multiple Trials, Expands AI Platform

Lantern Pharma (NASDAQ: LTRN), a clinical-stage biopharma company leveraging its RADR(R) AI/ML platform for oncology drug discovery and development, announced Q2 2025 results and portfolio updates. The company reported complete responses in patients across two trials — LP-300 in advanced NSCLC and LP-284 in refractory diffuse large B-cell lymphoma — along with completion of LP-184 Phase 1a enrollment, positioning it for Phase 1b/2 studies in high-value indications. LP-184 has FDA Fast Track and multiple Rare Pediatric Disease designations and showed significant survival gains in ATRT models. Lantern strengthened its IP with a European patent allowance for LP-284 and publication of a PCT application for its predictBBB(TM) AI module. RADR(R) enhancements included the public launch of predictBBB.ai(TM) and a new drug combination prediction module. Q2 R&D expenses fell to $3.1 million from $3.9 million a year ago, G&A was $1.6 million versus $1.5 million, and net loss narrowed to $4.33 million from $4.96 million. Cash, equivalents, and marketable securities totaled $15.9 million at quarter-end, funding operations into June 2026. 

To view the full press release, visit https://ibn.fm/VD5Ik

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 200 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 drug candidates that span multiple cancer indications, including both solid tumors and blood cancers and an antibody-drug conjugate (ADC) program. On average, our newly developed drug programs have been advanced from initial AI insights to first-in-human clinical trials in 2-3 years and at approximately $1.0 – 2.5 million per program.

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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