FREE WEBINAR: “Disrupting a $50 Billion Industry” September 29th at 12PM ET (9AM PT/ 5PM BST)

Global Pharmaceutical Proves Pangaea’s AI

Microsoft Interviews Our Founder

Pangaea is Selected by the UK Government as a Leading Digital Health Innovator

Go back

Oncologists Presenting Successful Collaborations with Pangaea at Bio-IT World 2022

12:25 - 12:55PM ET May 4th, AI For Drug Discovery & Development Track, Boston, MA

Leading US and UK oncologists will be presenting results from two independent studies through which they applied Pangaea’s novel AI to extract 26 features from EHRs with 97% accuracy in a privacy preserving manner and to find 6x more cancer patients with cachexia.

Novel Unsupervised AI Extracts Intelligence from EHRs in a Privacy Preserving Manner with 97% Accuracy, to Create Research Quality Data” Presented by Dr. VK Gadi and Dr. Rachel Yung

“Breakthrough AI to Find 6x More Undiagnosed and Miscoded Cancer Patients with Cachexia at Scale” Presented by Dr. Judith Sayers

Visit us at booth 202.

Novel Unsupervised AI Extracts Intelligence from EHRs in a Privacy Preserving Manner with 97% Accuracy, to Create Research Quality Data

Date & time: 12:25 – 12:55PM ET, May 4th

Track: AI for Drug Discovery & Development

Abstract: Understanding the impact of precision medicine on medical practice, patient care and clinical outcomes is essential for advancing cancer care. However, extracting tumor genomic testing (TGT) from EHRs is challenging. This presentation will review a pilot study, conducted between leading US-based clinicians and Pangaea, to assess the ability for Natural Language Processing (NLP) algorithms to convert unstructured text data and PDF-formatted TGT results into research quality data. Results showed that Pangaea’s AI-driven product, PIES, was proven to extract 26 variables (for demographics, genomic testing results and social indicators), with an average accuracy of 97.3% (100% for 14 variables), to create research quality data.

Presenters

Dr. VK Gadi
Director of Medical Oncology, UI Health;
Associate Director, University of Illinois Cancer Center
Dr. Rachel Yung
Associate Professor, Medical Oncology, University of Washington;
Physician, Seattle Cancer Care Alliance

View Presentation Recording

Breakthrough AI to Find 6x More Undiagnosed and Miscoded Cancer Patients with Cachexia at Scale

Date & time: 3:10 – 3:40PM ET, May 4th

Track: AI for Oncology, Precision Medicine, and Health

Abstract: This presentation will demonstrate how Pangaea’s novel unsupervised AI has been found to discover clinical features characterizing cachexia in cancer patients, which helped with earlier detection of 6x more cancer patients with cachexia, who were undiagnosed, miscoded or at risk. These findings have the potential to reduce treatment costs by 50% and to save $1 billion annually, in the UK.

Presenters

Ms. Judith Sayers, MRCS
Surgical Training Fellow, NHS Lothian;
Research Fellow, University of Edinburgh & St. Columba’s Hospice

View Presentation Recording

Poster Presentations

A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases

Automatic and Accurate Medical Regulatory Report Generation with Clinician-in-the-Loop

Automatic Clinical Trial Matching at Scale based on Patient Profiles

Predicting Length of Stay and Mortality Risk with Unstructured Clinical Notes in Intensive Care Units (ICU)

Attendees

Dr. Vibhor Gupta
Director & Founder
Pangaea Data
Mr. Jingqing Zhang
Head of AI
Pangaea Data
Ms. Morven Whalley
HR & Marketing Manager
Pangaea Data

Event Highlights