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Kun Huang, Ph.D.

AIMBE College of Fellows Class of 2018
For outstanding work in digital pathology, integrative genomics and leadership in translating data science and informatics techniques to precision medicine.

Researchers use EHRs to identify cancer symptom clusters

Via Medical Xpress | October 22, 2019

Patients with chronic diseases such as breast cancer or colorectal cancer often experience fatigue, pain, depression and other symptoms which can lead to distress and functional impairment if left untreated. With the ultimate goal of helping clinicians manage and treat symptoms that negatively affect health and quality of life, researchers from the Regenstrief Institute and IUPUI have devised and tested novel methodologies to extract data on symptoms from electronic health records (EHRs) and have successfully investigated associations between symptom clusters and disease.

“Our novel methods can be generalized beyond breast and colorectal cancer to analyze symptom clusters of other chronic diseases where symptom management and treatment is critical,” said Regenstrief Institute investigator Kun Huang, Ph.D., senior author of the study and an internationally recognized leader in translational bioinformatics. “Identifying and understanding symptom clusters—which symptoms tend to go together—fatigue and depression, for example—and when these symptoms occur during the course of treatment—provides critical information to a patient’s care team, especially as we look forward to precision health and try to find the right treatment for the right patient at the right time… Continue reading.

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Dr. Kun Huang Inducted into Medical and Biological Engineering Elite

Via AIMBE | April 10, 2018

WASHINGTON, D.C.—The American Institute for Medical and Biological Engineering (AIMBE) has announced the induction of Kun Huang, Ph.D., Professor of Medicine, Professor of Computer Science, IUSM; PHI Chair for Genomic Data Science, Director of Data Science and Informatics, Precision Health Initiative, Assistant Dean for Data Science, Department of Medicine/Division of Hematology and Oncology, Indiana University School of Medicine, to its College of Fellows. Dr. Huang was nominated, reviewed, and elected by peers and members of the College of Fellows for outstanding work in digital pathology, integrative genomics and leadership in translating data science and informatics techniques to precision medicine.

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