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“Characterising Hard to Diagnose Conditions Based on Patient Records in a Privacy Preserving & Scalable Manner”

12:45 - 1:05PM CET (11:45AM - 12:05PM GMT) November 8th, Real World Evidence Track, Basel, Switzerland

Visit us at Booth 41

Venue: Basel Congress Center, Basel, Switzerland

Presentation: Characterising Hard to Diagnose Conditions, such as Cancer Cachexia, Based on Patient Records in a Privacy Preserving and Scalable Manner

This presentation will demonstrate how NHS Lothian applied Pangaea’s AI driven product, PIES (Pangaea’s Intelligence Extraction and Summarisation), to unlock intelligence and new insights from patient data and to characterise cancer patients with cachexia, in a privacy preserving and scalable manner. This study led to the discovery of 6x more patients compared to using ICD codes, resulting in 50% reduction of treatment costs and potential savings of £1 billion annually for the NHS. These results were clinically validated and the study is being extended to include Pangaea’s product as part of routine clinical care pathway for early diagnosis of such patients and to also help find more suitable patients for clinical trials and new therapies across various hard to diagnose conditions.

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Presenters & Attendees

Dr. Richard Skipworth
Royal Infirmary of Edinburgh
Dr. Vibhor Gupta
Director & Founder
Pangaea Data
Dr. Jingqing Zhang
Head of AI
Pangaea Data

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