AI Trace
Data AnalysisVerified

Reviewed and published by trentmaziarz, July 11, 2026. Discovered and drafted by our automated research pipeline.

UMass Memorial Health announced a partnership with Google Cloud in March 2024 to use AI and machine learning to identify which patients with cardiometabolic conditions are suitable candidates for advanced therapies.

Details

The collaboration uses Google Cloud tools including BigQuery, Vertex AI, Healthcare Natural Language API, and Looker to analyze large datasets of patient health records, clinical data, and biometric information. The goal is to build predictive analytics models that surface patients who may benefit from advanced treatments for conditions such as heart disease, diabetes, kidney disease, and obesity. The partnership is described as an active development effort rather than a fully deployed production system.

Products affected

Google Cloud BigQueryGoogle Cloud Vertex AIHealthcare Natural Language APILooker

Sources & Evidence

Cite this record

Trace Foundation. (2026). UMass Memorial Health: UMass Memorial Health announced a partnership with Google Cloud in March 2024 to use AI and machine learning to identify which patients with cardiometabolic conditions are suitable candidates for advanced therapies (data as of 2026-07-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/625727d8-1869-4b94-87f8-af8e1a1e8449. Accessed October 10, 2026.

Stable link
https://www.aitrace.org/r/practice/625727d8-1869-4b94-87f8-af8e1a1e8449
Data as of
July 11, 2026
Last verified
Not recorded

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