Zak Kohane

Isaac Kohane, MD, PhD

Chair of the Department of Biomedical Informatics, Harvard Medical School
Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School
Associate Professor of Medicine, Brigham and Women's Hospital
10 Shattuck Street, Boston, MA 02115

Isaac (Zak) Kohane, MD, PhD is the inaugural Chair of the Department of Biomedical Informatics and the Marion V. Nelson Professor of Biomedical Informatics at Harvard Medical School. He served as co-author of the Institute of Medicine Report on Precision Medicine that has been the template for national efforts. He develops and applies computational techniques to address disease at multiple scales: from whole healthcare systems as “living laboratories” to the functional genomics of neurodevelopment with a focus on autism.

Over the last 30 years, Kohane’s research agenda has been driven by the vision of what biomedical researchers could do to find new cures, provide new diagnoses and deliver the best care available if data could be converted more rapidly to knowledge and knowledge to practice. In so doing, he has designed and led multiple internationally adopted efforts to “instrument” the healthcare enterprise for discovery and to enable innovative decision-making tools to be applied to the point of care. At the same time, the new insights afforded by ’omic-scale molecular analyses have inspired him and his collaborators to work on re-characterizing and reclassifying diseases such as autism, rheumatoid arthritis and cancers. In many of these studies, the developmental trajectories of thousands of genes have been a powerful tool in unraveling complex diseases.

In 1987, Kohane earned his MD/PhD from Boston University and then completed his post-doctoral work at Boston Children’s Hospital, where he has since worked as a pediatric endocrinologist. He joined the faculty at Harvard Medical School in 1992, serving as Director of Countway Library from 2005 to 2015 and as Co-Director of the Center for Biomedical Informatics during the same period, before it became the Department of Biomedical Informatics in July 2015. He is a member of the Institute of Medicine and the American Society for Clinical Investigation. Kohane has published several hundred papers in the medical literature and authored the widely-used books Microarrays for an Integrative Genomics (2003) and The AI Revolution in Medicine: GPT-4 and Beyond (2023). He is also Editor-in-Chief of NEJM AI.

Kohane is always on the lookout for like-minded “quants” who share the same goals to bring a better future for medicine and biomedical science to the present.

Current Postdoctoral Fellowship Opportunities
DBMI Research Areas
DBMI Courses
Illustrating potential effects of alternate control populations on real-world evidence-based statistical analyses.
Authors: Huang Y, Yuan W, Kohane IS, Beaulieu-Jones BK.
JAMIA Open
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Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?
Authors: Beaulieu-Jones BK, Yuan W, Brat GA, Beam AL, Weber G, Ruffin M, Kohane IS.
NPJ Digit Med
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International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study.
Authors: Weber GM, Hong C, Palmer NP, Avillach P, Murphy SN, Gutiérrez-Sacristán A, Xia Z, Serret-Larmande A, Neuraz A, Omenn GS, Visweswaran S, Klann JG, South AM, Loh NHW, Cannataro M, Beaulieu-Jones BK, Bellazzi R, Agapito G, Alessiani M, Aronow BJ, Bell DS, Bellasi A, Benoit V, Beraghi M, Boeker M, Booth J, Bosari S, Bourgeois FT, Brown NW, Bucalo M, Chiovato L, Chiudinelli L, Dagliati A, Devkota B, DuVall SL, Follett RW, Ganslandt T, García Barrio N, Gradinger T, Griffier R, Hanauer DA, Holmes JH, Horki P, Huling KM, Issitt RW, Jouhet V, Keller MS, Kraska D, Liu M, Luo Y, Lynch KE, Malovini A, Mandl KD, Mao C, Maram A, Matheny ME, Maulhardt T, Mazzitelli M, Milano M, Moore JH, Morris JS, Morris M, Mowery DL, Naughton TP, Ngiam KY, Norman JB, Patel LP, Pedrera Jimenez M, Ramoni RB, Schriver ER, Scudeller L, Sebire NJ, Serrano Balazote P, Spiridou A, Tan AL, Tan BW, Tibollo V, Torti C, Trecarichi EM, Vitacca M, Zambelli A, Zucco C, Kohane IS, Cai T, Brat GA.
medRxiv
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What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
Authors: Kohane IS, Aronow BJ, Avillach P, Beaulieu-Jones BK, Bellazzi R, Bradford RL, Brat GA, Cannataro M, Cimino JJ, García-Barrio N, Gehlenborg N, Ghassemi M, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Hong C, Klann JG, Loh NHW, Luo Y, Mandl KD, Daniar M, Moore JH, Murphy SN, Neuraz A, Ngiam KY, Omenn GS, Palmer N, Patel LP, Pedrera-Jiménez M, Sliz P, South AM, Tan ALM, Taylor DM, Taylor BW, Torti C, Vallejos AK, Wagholikar KB, Weber GM, Cai T.
J Med Internet Res
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Temporal bias in case-control design: preventing reliable predictions of the future.
Authors: Yuan W, Beaulieu-Jones BK, Yu KH, Lipnick SL, Palmer N, Loscalzo J, Cai T, Kohane IS.
Nat Commun
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Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers.
Authors: Madhavan S, Bastarache L, Brown JS, Butte AJ, Dorr DA, Embi PJ, Friedman CP, Johnson KB, Moore JH, Kohane IS, Payne PRO, Tenenbaum JD, Weiner MG, Wilcox AB, Ohno-Machado L.
J Am Med Inform Assoc
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Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network.
Authors: Amiri H, Kohane IS.
JAMA Netw Open
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Multinational Prevalence of Neurological Phenotypes in Patients Hospitalized with COVID-19.
Authors: Le TT, Gutiérrez-Sacristán A, Son J, Hong C, South AM, Beaulieu-Jones BK, Loh NHW, Luo Y, Morris M, Ngiam KY, Patel LP, Samayamuthu MJ, Schriver E, Tan AL, Moore J, Cai T, Omenn GS, Avillach P, Kohane IS, Visweswaran S, Mowery DL, Xia Z.
medRxiv
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Clinical Implications of Removing Race From Estimates of Kidney Function.
Authors: Diao JA, Wu GJ, Taylor HA, Tucker JK, Powe NR, Kohane IS, Manrai AK.
JAMA
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Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles.
Authors: Finlayson SG, McDermott MBA, Pickering AV, Lipnick SL, Kohane IS.
Pac Symp Biocomput
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