Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Despite its promise, the integration of AI and big data into healthcare is far from straightforward. The editorial stresses ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer's available memory by identifying a massive data set's key features and dividing them into ...

Upon completion of this course, participants should be able to: ¿ Understand how big data and machine learning can complement traditional data and analytical techniques in macroeconomic analysis and ...

Jeremy’s computational research lab leads the development of machine learning-based models for the analysis of spatial omic data. We caught up with Jeremy at AACR 2024 to discuss his lab’s work, get ...

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Publication title Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning Purdue author Lefteri H. Tsoukalas Publisher McGraw Hill Publication date October 2023 About the ...