Muhammad Shaban, Machine Learning Scientist at the Brigham & Women's Hospital, Harvard Medical School, speaks with CPACE podcast host, Jordan Gass-Pooré, about his personal journey into the field of computational pathology and his cutting-edge work advancing pathology image analysis.
Mohamed provides insight and advice to students and early career researchers interested in developing AI tools for analyzing medical images and discusses the challenges of processing and analyzing high-resolution complex histopathology images, the role of synthetic data in training robust AI models, and the development of AI-powered interfaces to help pathologists analyze images and make diagnoses. This conversation provides a glimpse into the transformative potential in computational pathology and precision medicine and the future of AI-driven agent-based interfaces that will aid pathologists in diagnosis and treatment planning.
Jana Lipkova, Assistant Professor at the University of California Irvine School of Medicine within the Department of Pathology and Department of Biomedical Engineering speaks with CPACE Podcast host Jordan Gass-Pooré about her work at the intersection of technology, innovation, and medicine and her interests in the development of AI methods to address the pressing needs in oncology, organ transplant, immunology and other disease areas, leveraging multimodal data from histology, radiology, genomics, and beyond.
Jana and Jordan specifically discuss advances in pathology, data and new data types, mathematical modeling, the selection, evaluation and use of AI models, the safety and reliability of AI methods in clinical applications, algorithm fairness in AI for medicine and healthcare, research project design, and secrets behind building successful extramural partnerships.
James Lindsay, Associate Director and Chief Software Architect within the Knowledge Systems Group at the Dana-Farber Cancer Institute speaks with CPACE Podcast host Jordan Gass-Pooré about the role knowledge systems play in enabling computational medicine and research today. Jordan and James discuss his team’s work, the architecture, data and databases behind modern knowledge systems and about applications of AI and smaller machine learning models. James offers valuable insight to students, academic institutions and private sector companies on knowledge systems and on experimenting with emerging AI applications - encouraging, students, researchers and clinicians alike to get involved from an early stage in testing new tools and applicational ideas.
Prior to joining Dana-Farber, James was a Co-founder of Smpl Bio, a bioinformatics company which builds web based tools that simplify complex statistical and analytical tasks for bench biologists. He brings expertise in software architecture, bioinformatics, genomics and machine learning. Within the Knowledge Systems Group, James leads several initiatives, including translating molecular tissue imaging research into clinical tests, developing software systems for enterprise bioinformatics and the integration of machine learning to enhance research and clinical systems at Dana-Farber.
Graeme Penney, Chief Scientific Officer and Co-founder of Cydar Medical, and CPACE podcast host Jordan Gass-Pooré discuss the transformative impact of AI on the future of healthcare and medicine using Cydar Medical’s work advancing the field of AI-powered 3D mapping for surgical applications as a case study. Graeme and Jordan delve into the world of AI-powered 3D mapping, biomedical imaging and image segmentation, data annotation and challenges associated with vascular surgery and discuss how Cydar Medical’s deep understanding of clinical needs and pioneering work advancing the use of machine learning models and algorithms are improving the precision and efficiency of minimally invasive surgeries. This episode highlights the critical role of AI in shaping the future of healthcare and the importance of collaboration between researchers, clinicians and technology companies.
About the University of Pittsburgh’s Center for Computational Pathology and AI Center of Excellence and the CPACE Podcast
At the heart of CPACE at the University of Pittsburgh is our commitment to revolutionizing pathology and laboratory medicine through the innovative application of artificial intelligence. Our CPACE podcast series is designed to bridge the gap between cutting-edge AI technologies and their practical implementation in clinical practice and research. As a key initiative of the CPACE, this podcast aims to engage healthcare professionals, researchers, and technology enthusiasts in insightful discussions about the latest advancements in AI-driven strategies in pathology, healthcare, and in medicine. Under the leadership of Ahmad P. Tafti, Liron Pantanowitz, and Hooman Rashidi, the CPACE Podcast serves as a solid and dynamic platform to explore how safe, responsible, fair, and explainable AI can transform disease detection, enhance personalized treatment plans, and ultimately improve patient care and clinical outcomes. Our mission is to foster a culture of continuous learning and innovation while establishing robust ethical and regulatory practices that set a global benchmark of AI implementation in healthcare. Join us as we delve into the practical applications of AI in medicine, highlight groundbreaking research, and discuss strategies to overcome challenges in AI integration. Together, we strive to advance the field, inspire new solutions, and enhance the future of healthcare.
Dr. Liron Pantanowitz, Chair of the Department of Pathology at the University of Pittsburgh and a Professor of Pathology speaks with CPACE podcast host Jordan Gass-Pooré about Pitt’s new Computational Pathology and AI Center of Excellence and the center’s mission and work engaging and serving students and academic and industry partners. Liron and Jordan broaden their discussion to also touch on laboratory medicine, artificial intelligence and machine learning, clinical workflows, data reuse, synthetic data and the world of AI applied to pathology.
Welcome to the CPACE Podcast Series
At the heart of CPACE at the University of Pittsburgh is our commitment to revolutionizing pathology and laboratory medicine through the innovative application of artificial intelligence (AI). Our CPACE podcast series is designed to bridge the gap between cutting-edge AI technologies and their practical implementation in clinical practice and research. As a key initiative of the CPACE, this podcast mainly aims to engage healthcare professionals, researchers, and technology enthusiasts in insightful discussions about the latest advancements in AI-driven strategies in pathology, healthcare, and in medicine.
Under the leadership of Ahmad P. Tafti, Liron Pantanowitz, and Hooman Rashidi, the CPACE Podcast serves as a solid and dynamic platform to explore how safe, responsible, fair, and explainable AI can transform disease detection, enhance personalized treatment plans, and ultimately improve patient care and clinical outcomes. Our mission is to foster a culture of continuous learning and innovation while establishing robust ethical and regulatory practices that set a global benchmark of AI implementation in healthcare.
Join us as we delve into the practical applications of AI in medicine, highlight groundbreaking research, and discuss strategies to overcome challenges in AI integration. Together, we strive to advance the field, inspire new solutions, and enhance the future of healthcare.
Welcome to the University of Pittsburgh's Computational Pathology and AI Center of Excellence podcast! On this series, Jordan Gass-Poore՜, a science reporter covering the integration of artificial intelligence into pathology and laboratory medicine, explores how AI advancements and pioneering research in digital pathology are not only shaping the future of healthcare and diagnostic excellence but also fostering new opportunities for collaboration linking researchers, clinicians, and healthcare companies.
