Study Shows Machine Learning’s Potential to Predict Cancer Therapy-Related Cardiac Risk
An interdisciplinary team led by Drs. Cheng and Collier developed machine learning models that predict with promising accuracy the risk of cardiac dysfunction in cancer survivors and may be generalizable to clinical practice.
Cleveland Clinic Researchers Use “Big Data” Approach to Identify Melatonin as Possible COVID-19 Treatment
Dr. Cheng and colleagues developed a network medicine strategy to predict disease manifestations associated with COVID-19 and find existing drugs with the potential to be effective COVID-19 treatments.
Not All Mutations are Bad: Researchers Identify Differences between Benign and Pathogenic Variants
Dr. Lal’s team conducted the first big data characterization of missense variants from 1,300 disease-associated genes to identify features associated with pathogenic and benign variants.