Mind the (Care) Gap: AI to Find Patients with Unmet Symptoms

Finding Cancer Cachexia Patients Using Clinical Guideline Orientated AI

Time & Date: 2:45 – 3:15 PM CEST, September 17^th 2025

Learn how Pangaea’s AI leverages large language models to identify cachectic cancer patients with higher accuracy than vanilla large language models and meta-data based approaches such as ICD-search approaches.

Presenter

Jingqing Zhang, PhD

Head of AI,
Pangaea Data

Emily Comins

Biomedical Analyst
Pangaea Data

Mind the (Care) Gap: AI to Find Patients with Unmet Symptoms

Time & Date: 2:20 – 2:40 PM CEST, September 18^th 2025

Discover how Pangaea’s AI platform is being applied by NHS oncologists to help identify more cachectic cancer patients at the point of care, without disrupting existing clinical workflows. This is helping to improve patient outcomes and resource allocation, and potentially halving the cost of treatment per patient.

Panelists

Professor Barry Laird

Physician
Edinburgh Cancer Centre, St. Columba’s Hospice, Oslo University Hospital, University of Oslo & European Palliative Care Research Centre

Jingqing Zhang, PhD

Head of AI,
Pangaea Data

Register to Meet Us

Please let us know if you are available to meet by registering through the form below or emailing us at info@pangaeadata.ai