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 Speaker Profile

M.D., Chief Medical Officer, BostonGene

Biography
Nathan Fowler, M.D. is the Chief Medical Officer at BostonGene. Dr. Fowler provides strategic direction for BostonGene, a biomedical software company committed to defining optimal precision medicine-based therapies for cancer patients. Dr. Fowler brings more than 20 years of patient care experience to BostonGene, most recently as a Professor of Medicine in the Department of Lymphoma/Myeloma at the University of Texas, MD Anderson Cancer Center. Dr. Fowler received his medical degree from the University of Texas, having completed his internship and residency there as well. He went on to complete a fellowship in hematology/oncology at Georgetown University Hospital in Washington D.C. At MD Anderson Cancer Center, Dr. Fowler focused on developing groundbreaking new therapies for cancer patients and led the clinical research and new drug development programs for nearly ten years. He has published over 175 articles in peer-reviewed journals and is a regularly invited speaker at major conferences.


AI and Data Sciences Showcase:
BostonGene

BostonGene is redefining cancer care and drug development by integrating genomic, transcriptomic, immune, and clinical data through AI to generate actionable insights. These insights help biopharma partners design better trials, identify novel targets, predict therapeutic responses prediction across all stages of development while simultaneously improving patient care through clinically integrated innovation.

 Session Abstract – PMWC 2026 Silicon Valley

Showcase Track S1 - March 4 10.15 A.M.-5.00 P.M.,Showcase Track S1 - March 5 9.00 A.M.-4.45 P.M.,Showcase Track S1 - March 6 9.15 A.M.-11.30 A.M.


The PMWC 2026 AI Company Showcase will provide a 15-30 minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.

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