Cedars-Sinai Medical Center is a non-profit, tertiary, 915-bed teaching hospital and multi-specialty academic health science center located in Los Angeles, California. Part of the Cedars-Sinai Health System, the hospital has a staff of over 2,000 physicians and 10,000 employees, supported by a team of 2,000 volunteers and more than 40 community groups. As of 2022–23, U.S. News & World Report ranked Cedars-Sinai among the top performing hospitals in the United States. Cedars-Sinai is a teaching hospital affiliate of David Geffen School of Medicine at the University of California, Los Angeles (UCLA), which was ranked in the top 20 on the U.S. News 2023 Best Medical Schools: Research.
Renato Marcos Endrizzi Sabbatini is a retired professor at the Department of Biomedical Engineering and at the State University of Campinas Institute of Biology. He received a B.Sc. in Biomedical Sciences from Medical School of the University of São Paulo and a doctorate in behavioral neuroscience in 1977, followed by postdoctoral work at the Max Planck Institute of Psychiatry's Primate Behavior Department. He founded the Center for Biomedical Informatics, and helped create the Brazilian Society for Health Informatics.
Edward ("Ted") Hance Shortliffe is a Canadian-born American biomedical informatician, physician, and computer scientist. Shortliffe is a pioneer in the use of artificial intelligence in medicine. He was the principal developer of the clinical expert system MYCIN, one of the first rule-based artificial intelligence expert systems, which obtained clinical data interactively from a physician user and was used to diagnose and recommend treatment for severe infections. While never used in practice, its performance was shown to be comparable to and sometimes more accurate than that of Stanford infectious disease faculty. This spurred the development of a wide range of activity in the development of rule-based expert systems, knowledge representation, belief nets and other areas, and its design greatly influenced the subsequent development of computing in medicine.
Vimla Lodhia Patel is a Fijian-born Canadian cognitive psychologist and biomedical informaticist.
Russ Biagio Altman is an American professor of bioengineering, genetics, medicine, and biomedical data science and past chairman of the bioengineering department at Stanford University.
Homer Richards Warner was an American cardiologist who was an early proponent of medical informatics who pioneered many aspects of computer applications to medicine. Author of the book, Computer-Assisted Medical Decision-Making, published in 1979, he served as CIO for the University of Utah Health Sciences Center, as president of the American College of Medical Informatics, and was actively involved with the National Institutes of Health. He was first chair of the Department of Medical Informatics at the University of Utah School of Medicine, the first American medical program to formally offer a degree in medical informatics.
Yves A. Lussier is a physician-scientist conducting research in Precision medicine, Translational bioinformatics and Personal Genomics. As a co-founder of Purkinje, he pioneered the commercial use of controlled medical vocabulary organized as directed semantic networks in electronic medical records, as well as Pen computing for clinicians.
Literature-based discovery (LBD), also called literature-related discovery (LRD) is a form of knowledge extraction and automated hypothesis generation that uses papers and other academic publications to find new relationships between existing knowledge. Literature-based discovery aims to discover new knowledge by connecting information which have been explicitly stated in literature to deduce connections which have not been explicitly stated.
Atul Janardhan Butte or Atul J. Butte is an American biomedical informatician, pediatrician, and biotechnology entrepreneur. He is currently the Priscilla Chan and Mark Zuckerberg Distinguished Professor at the University of California, San Francisco. Since April 2015, Butte has serves as inaugural director of UCSF's Bakar Computational Health Sciences Institute.
Jason H. Moore is a translational bioinformatics scientist, biomedical informatician, and human geneticist, the Edward Rose Professor of Informatics and Director of the Institute for Biomedical Informatics at the Perelman School of Medicine at the University of Pennsylvania, where he is also Senior Associate Dean for Informatics and Director of the Division of Informatics in the Department of Biostatistics, Epidemiology, and Informatics.
Translational bioinformatics (TBI) is a field that emerged in the 2010s to study health informatics, focused on the convergence of molecular bioinformatics, biostatistics, statistical genetics and clinical informatics. Its focus is on applying informatics methodology to the increasing amount of biomedical and genomic data to formulate knowledge and medical tools, which can be utilized by scientists, clinicians, and patients. Furthermore, it involves applying biomedical research to improve human health through the use of computer-based information system. TBI employs data mining and analyzing biomedical informatics in order to generate clinical knowledge for application. Clinical knowledge includes finding similarities in patient populations, interpreting biological information to suggest therapy treatments and predict health outcomes.
Joel Dudley is currently Associate Professor of Genetics and Genomic Sciences and founding Director of the Institute for Next Generation Healthcare at the Icahn School of Medicine at Mount Sinai. In March, 2018 Dr. Dudley was named Executive Vice President for Precision Health for the Mount Sinai Health System (MSHS). In 2017 he was awarded an Endowed Professorship by Mount Sinai in Biomedical Data Science. Prior to Mount Sinai, he held positions as Co-founder and Director of Informatics at NuMedii, Inc. and Consulting Professor of Systems Medicine in the Department of Pediatrics at Stanford University School of Medicine. His work is focused at the nexus of -omics, digital health, artificial intelligence (AI), scientific wellness, and healthcare delivery. His work has been featured in the Wall Street Journal, Scientific American, MIT Technology Review, CNBC, and other popular media outlets. He was named in 2014 as one of the 100 most creative people in business by Fast Company magazine. He is co-author of the book Exploring Personal Genomics from Oxford University Press. Dr. Dudley received a BS in Microbiology from Arizona State University and an MS and PhD in Biomedical Informatics from Stanford University School of Medicine.
Michel Justin Dumontier is a Distinguished Professor of Data Science at Maastricht University. His research focuses on methods to represent knowledge on the web with applications for drug discovery and personalized medicine. He was previously an Associate Professor of Medicine at the Stanford University School of Medicine and an Associate Professor of Bioinformatics at Carleton University. He is best known for his work in biomedical ontologies, linked data and biomedical knowledge discovery. He has taught courses on biochemistry, bioinformatics, computational systems biology, and translational medicine. His research has been funded by Natural Sciences and Engineering Research Council, Canada Foundation for Innovation, Mitacs Canada, the Ontario Ministry of Research, Innovation and Science, CANARIE, and the US National Institutes of Health. Dumontier has an h-index of over 30 and has authored over 125 scientific publications in journals and conferences. He lives in Maastricht with his wife Tifany Irene Leung and their lionhead rabbit Storm.
Yuval Shahar is an Israeli professor, physician, researcher, and computer scientist.
Lucila Ohno-Machado is a biomedical engineer and Deputy Dean for Biomedical Informatics at the Yale University School of Medicine. She is an elected member of the American Society for Clinical Investigation and the National Academy of Medicine.
Dean Forrest Sittig is an American biomedical informatician specializing in clinical informatics. He is a professor in Biomedical Informatics at the University of Texas Health Science Center at Houston and Executive Director of the Clinical Informatics Research Collaborative (CIRCLE). Sittig was elected as a fellow of the American College of Medical Informatics in 1992, the Healthcare Information and Management Systems Society in 2011, and was a founding member of the International Academy of Health Sciences Informatics in 2017. Since 2004, he has worked with Joan S. Ash, a professor at Oregon Health & Science University to interview several Pioneers in Medical Informatics, including G. Octo Barnett, MD, Morris F. Collen, MD, Donald E. Detmer, MD, Donald A. B. Lindberg, MD, Nina W. Matheson, ML, DSc, Clement J. McDonald, MD, and Homer R. Warner, MD, PhD.
Professor Bissan Al-Lazikani PhD FRSB MBCS is a data scientist and drug discoverer. She applies computational techniques to help solve critical bottlenecks in cancer drug discovery and development. Since 2021 she has been professor of genomic medicine at The University of Texas MD Anderson Cancer Center.
Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data. It can be viewed as the study and application of data science to solve biomedical problems. Modern biomedical datasets often have specific features which make their analyses difficult, including:
Teri E. Klein is an American professor of Biomedical Data Science and Medicine at Stanford University. She is known for her work on pharmacogenomics and computational biology.
Suzanne B. Bakken Henry is an American nurse who is a professor of biomedical informatics at Columbia University. Her research considers health equity and informatics. She is a Fellow of the New York Academy of Medicine, American College of Medical Informatics and American Academy of Nursing.
