Event details
EARLY-BIRD RATES AVAILABLE UNTIL 28 FEBRUARY, 2026
REGISTER TODAYRedefining Healthcare in the Age of AI, a Nature Conference, will explore the transformative impact of AI on modern medicine. The program will feature leading voices in healthcare, biomedical research, and digital health, highlighting advances in AI-driven diagnostics, drug development, and clinical decision support. Sessions will also address critical challenges—including data privacy, algorithmic bias, and regulatory frameworks—to ensure that AI technologies are deployed ethically, equitably, and effectively.
By bringing together experts from academia, industry, and clinical practice, the conference aims to foster meaningful dialogue, showcase cutting-edge research, and chart a collaborative path forward for integrating AI into healthcare systems worldwide.
Keynote Speakers
Mihaela van der Schaar
University of Cambridge
Al Roth
Stanford University
Effy Vayena
ETH Zurich
Alan Karthikesalingam
Google DeepMind
Speakers
Roxana Daneshjou
Stanford University
Jake Sunshine
Jessilyn Dunn
Duke University
Ciira Maina
Centre for Data Science and AI (DSAIL)
Jayanth Komarneni
Human Dx
Julia Schnabel
Technical University of Munich
James Zou
Stanford University
Kristina Lang
LUCC: Lund University Cancer Centre
Guangyu Wang
Fudan University
Michael Yip
University of California at San Diego
Ziad Obermeyer
University of California Berkeley
Jakob Nikolas Kather
Technical University Dresden, Germany
Professor Jakob Kather holds dual appointments in medicine and computer science at the Technical University (TU) Dresden, Germany, serves as a senior physician in medical oncology at the University Hospital Dresden and holds an additional affiliation with the National Center for Tumor Diseases (NCT) in Heidelberg. His research is focused on applying artificial intelligence in precision oncology. Prof. Kather’s research team at TU Dresden is using deep learning techniques to analyze a spectrum of clinical data, including histopathology, radiology images, textual records, and multimodal datasets. Guided by the belief that medical and tech expertise needs to be combined, medical researchers in his team learn computer programming and data analysis, while computer scientists are immersed in cancer biology and oncology. Prof. Kather chairs the “Working group on Artificial Intelligence” at the German Society of Hematology and Oncology (DGHO) and is a member of the pathology task force of the American Association for Cancer Research (AACR). His work is supported by numerous European and national grants, which enable the team to develop new deep learning methods for medical data analysis techniques and to apply them in precision oncology.
Demilade Adedinsewo
Mayo Clinic
Jacqueline Shreibati
Google Research
Faisal Mahmood
Harvard Medical School