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Wire · opportunities

Large language model-based system identifies cardiac event data in cancer patients ...

1 September 2026 · By · Wire by Fusion42

Published

1 September 2026

Topic

opportunities

◆ Sectors

Digital Health

◆ Geography

United States

◆ Source

Read at eurekalert.org →

◆ Verified

Fusion42 · 1 September 2026 · Fusion42 review

Researchers at Thomas Jefferson University developed a large language model framework that rapidly and accurately extracts cardiac event data from electronic health records of cancer patients to assess cardiotoxicity risk from treatment.

This Wire brief sits within Fusion42's coverage of Digital Health.

◆ ◆ The Wire takeaway

Your patient data processing can now become at least 100 times faster with AI that understands complex medical context. Start integrating large language models to accelerate clinical insights and open doors to personalised treatment adjustments.

◆ Coverage

1 source · 1 Sep 2026

◆ Related on Wire

◆ Topics

Digital Healthlarge-language-modelscardiotoxicitycancer-treatmentelectronic-health-recordsAI-healthcare