A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials

Soma Sengupta; Rohan Rao; Zachary Kaufman; Timothy J Stuhlmiller; Kenny K Wong; Santosh Kesari; Mark A Shapiro; Glenn A Kramer

doi:10.18043/001c.120572

A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials

N C Med J. 2024 Jun;85(4):270-273. doi: 10.18043/001c.120572.

Authors

Soma Sengupta¹, Rohan Rao², Zachary Kaufman³, Timothy J Stuhlmiller³, Kenny K Wong³, Santosh Kesari⁴, Mark A Shapiro³, Glenn A Kramer³

Affiliations

¹ Department of Neurosurgery, School of Medicine, University of North Carolina at Chapel Hill.
² Ronald Reagan UCLA Medical Center, University of California, Los Angeles.
³ xCures, Oakland, CA.
⁴ Department of Translational Neurosciences, Saint John's Cancer Institute, Saint John's Health Center, Santa Monica, CA.

PMID: 39466099
DOI: 10.18043/001c.120572

Abstract

The xCures platform aggregates, organizes, structures, and normalizes clinical EMR data across care sites, utilizing advanced technologies for near real-time access. The platform generates data in a format to support clinical care, accelerate research, and promote artificial intelligence/ machine learning algorithm development, highlighted by a clinical decision support algorithm for precision oncology.

Keywords: Soma Sengupta; algorithm development; artificial intelligence; cancer; clinical decision support; machine learning; oncology.

MeSH terms

Algorithms
Artificial Intelligence*
Clinical Trials as Topic
Decision Support Systems, Clinical
Electronic Health Records*
Humans
Machine Learning*
Medical Oncology / methods
Neoplasms* / therapy