Faculty honors

Two Johns Hopkins faculty members elected to National Academy of Medicine

Membership in the National Academy of Medicine recognizes individuals who have demonstrated outstanding professional achievements and commitment to service

Johns Hopkins University faculty members Christopher G. Chute and Jeffrey D. Rothstein are among 100 scholars newly elected to the National Academy of Medicine, announced today during the NAM's annual meeting in Washington, D.C.

Christopher Chute and Jeffrey Rothstein

Image caption: From left, Christopher Chute and Jeffrey Rothstein

Image credit: Johns Hopkins Medicine

An independent organization of leading professionals from multiple scientific fields including health, medicine and the natural, social, and behavioral sciences, the NAM serves alongside the National Academy of Sciences and National Academy of Engineering to provide objective advice for the nation and international scientific communities.

Membership in the NAM is considered one of the highest honors in the fields of health and medicine. Since the NAM's founding in 1970, the work and recommendations of its members have shaped health research, practice, and policies that improve health and health outcomes worldwide. New members are elected by current members through a selective process that recognizes people who have made major contributions to the advancement of the medical sciences, health care, and public health. The NAM currently has more than 2,400 members.

More on this year's National Academy of Medicine electees from Johns Hopkins:

Christopher Chute is the Bloomberg Distinguished Professor of Health Informatics. He also has primary faculty appointments at the Johns Hopkins schools of Medicine, Public Health and Nursing. He is the chief research information officer for Johns Hopkins Medicine, deputy director of the Institute for Clinical and Translational Research at Johns Hopkins, co-chair of the Johns Hopkins Data Trust's research subcouncil, and head of the biomedical informatics and data science section in the Division of General Internal Medicine.

The NAM has recognized Chute for his work on how clinical data is represented to support data inferencing and discovery science in the learning health system, focusing on ontologies, classifications and real-world data. He chaired the World Health Organization's International Classification of Diseases' 11 revision, which transformed the century-old system to support data science, and he co-leads many large-scale national repositories of electronic health record data to advance outcomes research. His work has led to many discoveries that have changed clinical practice. Chute joined the Johns Hopkins faculty in 2015.

Jeffrey Rothstein is a professor of neurology and neuroscience at the Johns Hopkins University School of Medicine. Also at Johns Hopkins, he is the founder and director of the Robert Packard Center for ALS (amyotrophic lateral sclerosis) Research, director of the Brain Science Institute, and the founder and co-director of the ALS clinic. He is also a member and ex-executive of the American Association of Physicians, an honorary medical society with members who are physicians with outstanding credentials in basic or translational biomedical research.

His lab first discovered that excitotoxicity might be a common pathophysiological process in sporadic ALS, which led to the use of the drug riluzole as a treatment for ALS. Rothstein made discoveries on fundamental pathways that underlie familial and sporadic ALS, including excitotoxicity, astroglial dysfunction, oligodendroglial dysfunction, and the role of nuclear pore complex and nucleocytoplasmic transport in familial and sporadic ALS. The author of more than 360 research articles on ALS pathophysiology and on basic neuroscience, Rothstein is also the founder and director of the Answer ALS program, which combines longitudinal clinical data, at home smartphone data collection, and generation of induced pluripotent stem (iPS) neurons from more than 1,000 U.S. ALS patients, and their comprehensive biological analytics, leading to a dataset of 6 billion biological and clinical data points per patient.