This article “Artificial intelligence in metabolic research” is published in Nature Metabolism.

Author:Jens Juul Holst

Journal: Nature Metabolism

Year: 2025

Podcast type: Short

The authors are:

• Jens Juul Holst
• Camilla Schéele
• Philipp E. Scherer
• Weiping Jia
• Eran Segal
• Nikolai Slavov
• Ruth J. F. Loos
• Golnaz Vahedi
• Lei Sun
• M. Madan Babu
• Melissa D. McCradden
• Peter G. Jacobs

Affiliations:

Jens Juul Holst, Camilla Schéele— Department of Biomedical Sciences, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

Philipp E. Scherer — Touchstone Diabetes Center, The University of Texas Southwestern Medical Center, Dallas, TX, USA

Weiping Jia— Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Institute for Proactive Healthcare, Shanghai Jiao Tong University, Shanghai, China

Eran Segal — Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel; Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

Nikolai Slavov — Department of Bioengineering, Northeastern University, Boston, MA, USA; Parallel Squared Technology Institute, Watertown, MA, USA

Ruth J. F. Loos — Charles Bronfman Institute for Personalized Medicine, Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Golnaz Vahedi — Department of Genetics; Institute for Immunology and Immune Health; Epigenetics Institute; Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA

Lei Sun — TaiKang Center for Life and Medical Sciences, TaiKang Medical School, Wuhan University, Wuhan, China; Cardiovascular & Metabolic Disorders, DUKE-NUS Medical School, Singapore, Singapore; State Key Laboratory of Metabolism and Regulation in Complex Organisms, Wuhan University, Wuhan, China

M. Madan Babu — St. Jude Children’s Research Hospital, Memphis, TN, USA

Melissa D. McCradden — Australian Institute for Machine Learning, The University of Adelaide, Adelaide, South Australia, Australia; Women’s and Children’s Health Network, North Adelaide, South Australia, Australia; SickKids Research Institute, Toronto, Ontario, Canada

Peter G. Jacobs — Artificial Intelligence for Medical Systems Lab, Oregon Health & Science University, Portland, OR, USA; School of Chemical, Biological, and Environmental Engineering, College of Engineering, Oregon State University, Corvallis, OR, USA; Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA