Current Areas of Exploration in Artificial Intelligence

The Chugh Laboratory at the Smidt Heart Institute focuses on arrhythmia research. We investigate mechanisms of ventricular arrhythmias with a view to improve prediction, prevention and management of sudden cardiac arrest.

The Chugh Laboratory is affiliated with the Smidt Heart Institute and Department of Medicine.

Current research in the Slomka Laboratory focuses on developing innovative methods for fully automated analysis of cardiac imaging data using novel algorithms and machine-learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computerized tomography (CT) and CT angiography imaging. Research in the Slomka Laboratory is supported by the National Heart, Lung, and Blood Institute at the National Institutes of Health (NIH). The resources include large ( > 40,000 cases) multisite international registry of cardiac imaging SPECT data (REFINE SPECT).

The Zhang lab develops automated deep learning methods to accommodate the rapid biotechnology development with modern deep learning. These automated, data-driven models help us understand the causal effects of genetic variations in various contexts, including epigenetics, transcription, post-transcriptional regulation, genome editing, and in disease areas such as tumors. In the long term, we hope our methods will democratize deep learning and thereby accelerate scientific discoveries in biomedicine.

The Cedars-Sinai Clinical Data Lake and Data Warehouse is deep, data rich and one of the most research-ready data repositories of its kind. Containing more than a decade of medical data, it seamlessly brings together multiple internal and external data sources to provide researchers with access to approximately 50 million encounters for over 5 million patients. The Enterprise Data Intelligence team at Cedars-Sinai works closely with researchers and clinicians to provide a wealth of knowledge about patients, their medical conditions and their outcomes.