Sharat Israni

Biography
Sharat Israni previously was Executive Director, Data Science, at Stanford Medicine. A long serving Technology executive, Sharats teams pioneered the use of Big Data. He served as VP of Data at Yahoo (19992008) and Intuit (201013), which pioneered Big Data Science to reinvent their products. He led Digital Media systems for broadcast interactive TV at Silicon Graphics; and Data teams at IBM and HP. Sharat has been PI for NSF, NIH and RCUK workshops on Data Science topics in Biomedicine, and is a peer reviewer of some scientific journals.

Regina Barzilay

Biography
Regina Barzilay is a pioneering leader in developing machine learning methods for drug discovery and clinical AI. .Her groundbreaking work has produced AI models for early cancer detection and therapeutic discovery that have redefined what is possible in clinical diagnostics and biomedical innovation. At MITs Computer Science and Artificial Intelligence Laboratory and as AI Faculty Lead for the Jameel Clinic, she has advanced methods that detect breast and lung cancer earlier and more accurately, forecast adverse drug effects before human trials, and accelerate the design of novel therapeutics.Her research blends cutting-edge machine learning with a commitment to responsible integration of AI into precision medicine, ensuring these technologies are safe, equitable, and impactful for patients worldwide. Barzilays contributions have earned her numerous honors, including the MacArthur Fellowship, election to the National Academy of Medicine, the National Academy of Engineering and recognition as one of the most influential voices shaping the future of AI in healthcare.

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Chris Hare

Biography
Chris Hare is an Executive Director of Business Planning at Canon Medical Informatics, a global leader in medical diagnostic imaging and healthcare IT solutions. With over 15 years of experience in the healthcare and life science industry, he has a proven track record of driving strategic vision, business growth, and portfolio expansion across diverse markets and technologies. Chris's core competencies include corporate strategy, business development, MA, product management, and emerging technologies such as AI, genomics, and precision medicine. He has led and contributed to multiple corporate initiatives that have resulted in significant revenue growth, market penetration, customer satisfaction, and competitive advantage for Canon Medical and its subsidiaries. He is passionate about leveraging his technical and business expertise to create innovative solutions that improve the quality of life for all people.

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Radiomics Radiogenomics: Harnessing Precision Imaging for Oncology
Step into the future of medical imaging and consider the transformative impact of precision medicine, where radiology, pathology, oncology, and data science converge to deliver personalized cancer care. Discover how radiomics and radiogenomics are redefining cancer diagnosis and explore the integration of advanced imaging, AI, and molecular data to deliver personalized lung cancer treatment.

Angel Alberich-Bayarri

Biography
Angel Alberich-Bayarris has 15 years of experience in the field of medical imaging and computer vision,he possesses deep knowledge of the challenges and opportunities in diagnostics and drug development. He has worked in the development of several algorithms for Imaging Biomarkers analysis that promoted the creation of the company QUIBIM (Quantitative Imaging Biomarkers in Medicine), focused in the creation of a platform for the analysis of Imaging Biomarkers. Alberich-Bayarri is the author of more than 100 articles in prestigious international journals, author of 20 book chapters and editor of 2 books. He is the inventor of 7 patents and has received numerous international awards for his innovative work, including the MIT Innovators Under 35 in 2015.

Joe Petro

Biography
Joe Petro leads the development of the Dragon portfolio, DAX Copilot, and Dragon Copilot. He has been central in bringing ambient clinical documentation to scale across health systems, advancing AI-driven solutions that reduce clinician burden and improve patient care. With a career spanning leadership roles in healthcare technology and product innovation, he has guided the integration of Nuance into Microsoft’s Health & Life Sciences strategy, positioning AI as a cornerstone of modern clinical workflows.

Curtis P. Langlotz

Biography
Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice Provost for Research at Stanford University. He also serves as Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which comprises over 250 faculty at Stanford who conduct interdisciplinary machine learning research to promote health. Dr. Langlotz's laboratory develops machine learning methods to detect disease and eliminate diagnostic errors. He has led many national and international efforts to improve medical imaging, including the RadLex terminology standard and the Medical Imaging and Data Resource Center (MIDRC), a U.S. national imaging research resource.

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Talk
The Future of AI in Medical Imaging
We will learn how AI will change the practice of medical imaging using current examples from the research laboratory, assess the shortcomings of AI that will limit the application of these new methods, and predict the effects of AI on the radiologist workforce.

Curtis P. Langlotz

Biography
Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice Provost for Research at Stanford University. He also serves as Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which comprises over 250 faculty at Stanford who conduct interdisciplinary machine learning research to promote health. Dr. Langlotz's laboratory develops machine learning methods to detect disease and eliminate diagnostic errors. He has led many national and international efforts to improve medical imaging, including the RadLex terminology standard and the Medical Imaging and Data Resource Center (MIDRC), a U.S. national imaging research resource.

Kevin Blyth

Biography
Kevin Blyth is Professor of Respiratory Medicine in Glasgow.Following completion of Internal and Respiratory Medicine training and the award of an MD in Magnetic Resonance Imaging he was appointed as a Consultant in 2009.He splits his time between the CRUK Beatson InstituteUniversity of Glasgow and the Queen Elizabeth University Hospital, where he leads the Glasgow Pleural Disease Unit.He founded and is Director of the Macmillan Scottish Mesothelioma Network, which coordinates clinical care and access to clinical trials for Mesothelioma patients in Scotland.He is an NHS Scotland Research (NRS) Senior Research Fellow and leads a translational research program focused on pleural disease and thoracic malignancy, and has a particular interest in Mesothelioma.He is Principal Investigator of the CRUK PREDICT-Meso International Accelerator Network.

Curtis P. Langlotz

Biography
Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice Provost for Research at Stanford University. He also serves as Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which comprises over 250 faculty at Stanford who conduct interdisciplinary machine learning research to promote health. Dr. Langlotz's laboratory develops machine learning methods to detect disease and eliminate diagnostic errors. He has led many national and international efforts to improve medical imaging, including the RadLex terminology standard and the Medical Imaging and Data Resource Center (MIDRC), a U.S. national imaging research resource.

Regina Barzilay

Biography
Regina Barzilay is a pioneering leader in developing machine learning methods for drug discovery and clinical AI. .Her groundbreaking work has produced AI models for early cancer detection and therapeutic discovery that have redefined what is possible in clinical diagnostics and biomedical innovation. At MIT’s Computer Science and Artificial Intelligence Laboratory and as AI Faculty Lead for the Jameel Clinic, she has advanced methods that detect breast and lung cancer earlier and more accurately, forecast adverse drug effects before human trials, and accelerate the design of novel therapeutics. Her research blends cutting-edge machine learning with a commitment to responsible integration of AI into precision medicine, ensuring these technologies are safe, equitable, and impactful for patients worldwide. Barzilay’s contributions have earned her numerous honors, including the MacArthur Fellowship, election to the National Academy of Medicine, the National Academy of Engineering and recognition as one of the most influential voices shaping the future of AI in healthcare.

Alexander Weir

Biography
A Global HealthTech Executive specializing in AI innovation and digital transformation, Dr. Alexander (Sandy) Weir brings over 25 years of experience leading cutting-edge initiatives across public and private sectors. His leadership has spanned start-ups and enterprise environments, positioning him as a key figure in scaling AI-driven platforms, modernizing healthcare systems, and aligning technology with strategic business goals. As a Global Senior Program Manager at Canon Medical Research Europe, Dr. Weir directed multi-million-pound global programs in AI and precision informatics, helping to establish Canons AI Centre of Excellence and steering complex product development lifecycles. He also led health IT governance frameworks, integrating next-gen diagnostics, NLP, and bioinformatics across global RD teams. Sandy holds an Eng.D in Applied Photonics and a B.Eng. in Electrical Electronic Engineering, both from Heriot-Watt University. He is a Chartered Engineer (CEng) and research committee member with the Scottish Funding Council, and an Honorary Research Fellow at the University of Glasgow.

Janusz Dutkowski

Biography
Janusz Dutkowski is Founder and CEO of Data4Cure, Inc. a company focused on combining systems biology, machine learning and AI to facilitate continuous translation of biomedical data to knowledge. His background is in mathematics and computer science and he has been working at the intersection of mathematics, computer science and biology to develop new data driven technologies to advance the discovery of new biomarkers and precision based therapies. His research contributions include the development of methods for multiscale analysis of molecular networks and integrative methods for biomarker discovery from multidimensional data. He has co authored over 20 research papers published in scientific journals including Nature Biotechnology, Science and Cell.

Joe Petro

Biography
Joe Petro leads the development of the Dragon portfolio, DAX Copilot, and Dragon Copilot. He has been central in bringing ambient clinical documentation to scale across health systems, advancing AI-driven solutions that reduce clinician burden and improve patient care. With a career spanning leadership roles in healthcare technology and product innovation, he has guided the integration of Nuance into Microsofts Health Life Sciences strategy, positioning AI as a cornerstone of modern clinical workflows.

Curtis P. Langlotz

Biography
Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice Provost for Research at Stanford University. He also serves as Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which comprises over 250 faculty at Stanford who conduct interdisciplinary machine learning research to promote health. Dr. Langlotz's laboratory develops machine learning methods to detect disease and eliminate diagnostic errors. He has led many national and international efforts to improve medical imaging, including the RadLex terminology standard and the Medical Imaging and Data Resource Center (MIDRC), a U.S. national imaging research resource.

Sharat Israni

Biography
Sharat Israni previously was Executive Director, Data Science, at Stanford Medicine. A long serving Technology executive, Sharats teams pioneered the use of Big Data. He served as VP of Data at Yahoo (19992008) and Intuit (201013), which pioneered Big Data Science to reinvent their products. He led Digital Media systems for broadcast interactive TV at Silicon Graphics; and Data teams at IBM and HP. Sharat has been PI for NSF, NIH and RCUK workshops on Data Science topics in Biomedicine, and is a peer reviewer of some scientific journals.

David Liebeskind

Biography
David S. Liebeskind, MD, FAHA, FAAN is Professor of Neurology at the University of California, Los Angeles (UCLA) where he serves as the Associate Neurology Director of the UCLA Stroke Center and the Neurology Director of the Stroke Imaging Program. He is Co-Director of the UCLA Cerebral Blood Flow Laboratory and Director of the UCLA Vascular Neurology Residency Program.He trained in chemical engineering at Columbia University and completed his MD at New York University School of Medicine. Postgraduate medical training included internship at Beth Israel Hospital, Boston and neurology residency at UCLA. After his residency, he completed a fellowship in stroke and cerebrovascular disease at UCLA and subsequently joined the faculty in the Departments of Neurology and Radiology at the University of Pennsylvania.He has maintained extensive clinical activity across a broad range of cerebrovascular disorders ranging from carotid disease to unusual causes of stroke. Clinical expertise includes cerebral venous thrombosis, arterial dissection, moyamoya syndrome and other causes of stroke in the young. His principal research interests include novel neuroimaging approaches to elucidate fundamental pathophysiologic correlates of cerebrovascular disease in humans with a particular focus on the collateral circulation. His work on collateral perfusion in acute ischemic stroke draws on advances in noninvasive, multimodal CT and MRI and detailed analyses of digital subtraction angiography. He directs an angiography and imaging core laboratory that has participated in central readings of MERCI, Multi MERCI, IMS-III, TREVO EU and TREVO 2. His research on collaterals in intracranial atherosclerosis complements his work on acute stroke, utilizing computational fluid dynamic modeling and estimates of fractional flow to predict risk of ischemia and reperfusion hemorrhage.

Jadwiga Bienkowska

Biography
Dr. Jadwiga Bienkowska is Sr. Director and Head of Computational Biology at Pfizer, Oncology Research and Development. ORD mission is development of breakthrough therapies for unmet needs of Cancer patients. Mission of the Computational Biology is to decode complex molecular data into data driven decisions to accelerate drug development from new targets discovery and MOA studies, translation of pre-clinical observation to patient selection and progression of new therapies through Phase I trials, and bedside to bench translation of insights from Phase III -IV trials clinical and biomarker data. Dr. Bienkowska has over 20 years of experience in Pharma and Biotech assuming roles of increasing responsibilities and leadership to leverage Data Science and unravel molecular mechanisms of disease, advance new therapies and deliver Precision Medicine to patients. Prior to joining Pfizer Dr. Bienkowska lead a computational biology research groups at BiogenIdec and EMD Serono focused on uncovering molecular drivers and new therapies for Immune and Neurological diseases and Cancer. Dr. Bienkowska holds PhD from the University of Chicago and completed postdoctoral training at Harvard Medical School.

Martin Stumpe

Biography
Dr. Martin Stumpe served as the Chief of AI at Tempus, where he leads the development of AI algorithms from NGS and digital pathology to improve clinical context and decision-making for better patient care. Prior to Tempus, Dr. Stumpe founded and led the Cancer Pathology project at Google, which uses artificial intelligence to increase the accuracy in image-based cancer detection and grading. Earlier in his career, Dr. Stumpe was part of the Kepler team at NASA Ames Research Center; and before that, he was a postdoctoral researcher at Stanford University focusing on molecular dynamics simulations to study chaperone-induced protein folding. Dr. Stumpe holds a PhD in Computational and Theoretical Physics from the Max Planck Institute for Biophysical Chemistry in Goettingen, Germany

Rajesh Shah

Biography
Rajesh Shah, MD, earned his medical degree at The University of Chicago Pritzker School of Medicine in 2004, followed by a diagnostic radiology residency at University of Illinois Medical Center in Chicago (2009) and a vascular and interventional radiology fellowship at Stanford University Hospital in 2010. Since 2023 he has been Director of Interventional Radiology at the California Pacific Medical Center, Clinical Associate Professor at Stanford University, and an Interventional Radiologist at the VA Palo Alto Health Care System, where he has served in various leadership roles. Prior experience includes private practice and faculty roles at Weill Cornell Medical College and Memorial Sloan-Kettering Cancer Center in New York City. As an educator, Dr. Shah has mentored junior IR faculty at the VA Palo Alto, Stanford University, and at the California Pacific Medical Center. He has mentored trainees on research grants and created the VA resident rotation and mini-fellowship for IR-bound residents. Dr. Shah serves as the Society for Interventional Radiology (SIR) Division Councilor for Quality and Performance Improvement overseeing several committees dedicated to quality. In this role, he developed the Quality Improvement program for the SIR, and launched the VIRTEX Clinical Data Analytics Platform. Dr. Shah was appointed as affiliated faculty at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) and was awarded an AIMI grant to investigate machine learning in radiomics which has led to publications on machine learning in radiomics for lung cancer. He has published research on hepatocellular carcinoma, small-cell lung cancer, and embolic therapies. He is a Fellow of the Society of Interventional Radiology and active in the Society of Interventional Radiology and the American College of Radiology.