About
Pangaea’s product platform combines AI and clinical guidelines (which clinicians use when reviewing patient records manually) to automatically find and connect to more undiagnosed, misdiagnosed and miscoded patients, which is 70-80% of the patient population for 7,000 hard-to-diagnose conditions.Finding such patients has proven to improve outcomes, halve treatment costs and enable privacy-preserving and scalable collaboration between pharmaceutical and healthcare providers. The founders (Dr. Vibhor Gupta and Professor Yike Guo) have raised $300 million through their academic work, including a recent $110 million grant to continue development of Large Language Models (LLMs) for medicine to truly realize the promise of precision medicine and preventative health. Pangaea was awarded ‘Best Use of AI in HealthTech’ at HLTH, ‘Most Transformative Healthcare Company’ at the OBN awards and also ‘Digital Solution of the Year’ 2023 by the UK government. Pangaea is advised by Lord David Prior (former Chairman of NHS) and Andy Palmer (former CIO of Novartis).
Key Facts
- Pangaea’s founders have raised more than $300 million through their research, including a recent $110 million grant to continue development of Large Language Models (LLMs) for medicine
- Pangea was awarded ‘Digital Solution of the Year’ across all categories by the UK government and recognized by the UK Prime Minister
- Pangaea was also awarded Microsoft’s top tier co-sell partnership status, which is Microsoft’s highest level partner designation and is exclusive to only 25 of the 50,000 companies Microsoft works with and is enabling the product to be rapidly scaled across 140,000 healthcare providers and pharmaceutical companies globally
- Pangaea has published its work in high impact journals, such as Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use in the British Medical Journal (BMJ), Phenotyping in Clinical Text with Unsupervised Numerical Reasoning for Patient Stratification in Experimental Biology and Medicine (EBM) and presented at AAAI, Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case presented at EMNLP, and Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint presented at the highly coveted NeurIPS.
Successes in UK/NHS
A UK NHS trust has deployed Pangaea's product platform to find 6 time more undiagnosed and miscoded cachectic cancer patients than if ICD or generic NLP approaches had been used. This helped to reduce treatment costs by 50% (from £10,000 to £5,000), which in the context of 200,000 such undiagnosed patients each year could result in a £1 billion savings for the NHS annually. Pangaea has also been awarded a strategic partnership with Mersey Care and University of Liverpool's newly established Mental Health Research for Innovation Centre (M-RIC) to characterize patients across mental health conditions, which will help to find more undiagnosed, misdiagnosed and miscoded patients, who may have otherwise been missed through manual, meta-data (ICD) and generic Natural Language Processing (NLP) based approaches. Discovery of a larger patient pool with high precision through Pangaea’s product, will allow M-RIC to bring more patients into clinical care and take them through the appropriate pathways involving monitoring, therapies and clinical trials. Clinicians will also gain insights into new areas of research and development, which in turn opens up additional opportunities to collaborate with external teams.Company details
Solutions
Driving insights and analysis
Specialism
Drug discovery and Clinical trials
Healthcare Data insights
Company details
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Make an enquiryWebsite
www.pangaeadata.aiMarkets already exporting to
USA, Europe, EMEA
Desired Markets
USA, Canada, Switzerland, Japan and China
Desired customer types
Pangaea's end-users and sponsors are typically Global Head of Medical Affairs and Head of Clinical Operations at pharmaceutical companies and Chief Medical Officer, Chief Clinical Information Officers and Chief Medical Information Officer at healthcare providers
