Speaker Profile
Ph.D., Associate Dean of Biobanking, U. of Pittsburgh
Biography
Dr. Tran is a board-certified high complexity laboratory director (HCLD) through the American Board of Bioanalysis. His personal mission is to develop, evaluate, and implement cutting-edge biosensor technologies to advance laboratory medicine and expand access to care. Dr. Trans clinical work focuses on creating synergistic diagnostic pathways that integrate highly automated centralized testing with mobile, near-patient, and point-of-care solutions.As an HCLD-boarded laboratory scientist, he has broad expertise across all technical domains of clinical pathology. His primary areas of specialization include clinical chemistry, molecular infectious disease testing, and point-of-care diagnostics.
Talk
Local Multi-Agent AI Systems for Diagnostics and Biorepositories
Locally deployed multi-agent AI systems have the potential to transform both biomedical research and healthcare delivery. This presentation highlights local multi-agent AI solutions developed at our Computational Pathology and AI Center of Excellence, spanning applications from biobanking operations to mobile field care.
AI and Data Sciences Showcase:
University of Pittsburgh
The Computational Pathology and AI Center of Excellence at the University of Pittsburgh is a premier center for clinical studies, innovation, education, research and ethical governance in AI and ML. Its goal is to transform medicine by using AI to detect disease earlier, more efficiently and more accurately to improve outcomes for patients.
Session Abstract – PMWC 2026 Silicon Valley
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.
