Q&A with Mihaela van der Schaar.

IF 13.3 Q1 MEDICINE, RESEARCH & EXPERIMENTAL

Med Pub Date : 2026-10-09 DOI:10.1016/j.medj.2026.101257

引用次数: 0

Abstract

Mihaela van der Schaar is John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine, at the University of Cambridge, where she leads the van der Schaar Lab, directs the Cambridge Centre for AI in Medicine, and serves as Chief AI Scientist at the Francis Crick Institute. An IEEE Fellow since 2009 and Fellow of the Royal Society since 2024, she has received major honors including the Johann Anton Merck Award, Cambridge's Oon Prize, and an NSF CAREER Award. She holds 35 US patents, contributed to 45 international standards, earned 3 ISO Awards, and was named the UK's most-cited female AI researcher.

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与Mihaela van der Schaar。

Mihaela van der Schaar是剑桥大学机器学习、人工智能和医学的约翰·汉弗莱·普卢默教授，她领导着范德沙尔实验室，指导剑桥医学人工智能中心，并担任弗朗西斯·克里克研究所的首席人工智能科学家。自2009年起成为IEEE院士，自2024年起成为皇家学会院士，她获得了包括约翰·安东·默克奖、剑桥大学尤恩奖和美国国家科学基金会职业奖在内的重大荣誉。她拥有35项美国专利，为45项国际标准做出了贡献，获得了3项ISO奖，并被评为英国被引用次数最多的女性人工智能研究员。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Med MEDICINE, RESEARCH & EXPERIMENTAL-

CiteScore

17.70

自引率

0.60%

发文量

102

期刊介绍： Med is a flagship medical journal published monthly by Cell Press, the global publisher of trusted and authoritative science journals including Cell, Cancer Cell, and Cell Reports Medicine. Our mission is to advance clinical research and practice by providing a communication forum for the publication of clinical trial results, innovative observations from longitudinal cohorts, and pioneering discoveries about disease mechanisms. The journal also encourages thought-leadership discussions among biomedical researchers, physicians, and other health scientists and stakeholders. Our goal is to improve health worldwide sustainably and ethically. Med publishes rigorously vetted original research and cutting-edge review and perspective articles on critical health issues globally and regionally. Our research section covers clinical case reports, first-in-human studies, large-scale clinical trials, population-based studies, as well as translational research work with the potential to change the course of medical research and improve clinical practice.