HLTH USA: AI Configured on Clinical Guidelines to Find More Untreated Cachectic Cancer Patients

JAMIA Publication:The Potential and Pitfalls of using a LLM as a Clinical Assistant

Full Steam Ahead: How AI Can Transform the Genetics Journey in Precision Medicine

Pangaea Data Awarded Top Tier Co-Sell Partnership Status by Microsoft

WHITEPAPER: How can Pharma & Healthcare Collaborate in a Financially Sustainable & Scalable Manner?

GO BACK

AI to Improve Outcomes: Finding Untreated & Under-treated At-Risk Patients

3:30 - 3:50PM CET, November 21st, Main Stage, Station F, Paris, France

Presentation

Session: AI to Improve Outcomes: Finding Untreated & Under-treated At-Risk Patients

Location: Main stage

Learn how a global pharmaceutical company applied Pangaea Data’s AI platform, PALLUX, to find more untreated and under-treated at-risk CKD and COPD patients with ~90% accuracy. This work is now being scaled across healthcare providers globally.

Demo Station

Location: Microsoft Booth (Booth 7)

Learn about Pangaea’s AI platform, PALLUX, is configured on clinical guidelines to find more untreated (undiagnosed, misdiagnosed, miscoded, at-risk, uncontrolled) and under-treated patients for hard-to-diagnose conditions for screening and treatment at the point of care. This helps to find more suitable patients who would otherwise be missed despite the information available in their records, due to treatment for other conditions or administrative reasons.

Register to meet us through the form below or email us at info@pangaeadata.ai

Register to Meet Us

Presenters & Attendees

Ms. Karine Reynaud
Healthcare & Life Science Director,
Microsoft
Dr. Jingqing Zhang
Head of AI,
Pangaea Data
Dr. Meredith Giblin
Biomedical Scientist,
Pangaea Data