Atul J. Butte. Director, Bakar Computational Health Sciences Institute, University of California, San Francisco. ... LB Alexandrov, J Kim, NJ Haradhvala, MN Huang, AW Tian Ng, Y Wu, ... Nature 578 (7793), 94-101, 2020. 2987: 2020: Scalable and accurate deep learning with electronic health records.

Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute (bchsi.ucsf.edu) at the University of California, San Francisco (UCSF). Dr.

Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute (bchsi.ucsf.edu) at the University of California, San Francisco (UCSF). Dr.

Atul Butte is the inaugural Director of BCHSI and is the Priscilla Chan and Mark Zuckerberg Distinguished Professor of Pediatrics, Bioengineering and Therapeutic Sciences, and Epidemiology and Biostatistics. He is also Chief Data Scientist for UC Health, representing all 6 University of California Academic Medical Centers.

Atul Janardhan Butte or Atul J. Butte is an American biomedical informatician, pediatrician, and biotechnology entrepreneur. He is currently the Priscilla Chan and Mark Zuckerberg Distinguished Professor at the University of California, San Francisco .

Nisarg Patel and Atul Butte characterize the U.S. digital therapeutics pipeline and highlight the emerging sector’s remaining regulatory, cybersecurity, data governance, and reimbursement challenges in npj Digital Medicine.

Atul Butte, MD, PhD Priscilla Chan and Mark Zuckerberg Distinguished Professor, UCSF. Director, Institute for Computational Health Sciences, Professor of Pediatrics, UCSF

Atul BUTTE, Institute Director and Professor | Cited by 30,762 | of UCSF University of California, San Francisco, CA (UCSF) | Read 523 publications | Contact Atul BUTTE

Acute kidney injury (AKI) is a major postoperative complication that lacks established intraoperative predictors. Our objective was to develop a prediction model using preoperative and...