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HEALWELL AI's Pentavere Demonstrates Its DARWEN AI System Can Support Earlier Detection of Radiation Related Toxicities in Cancer Patients for Preventative Care

Pentavere collaborated with Princess Margaret Cancer Centre's Radiation Oncology Department to as...

articleHealwell Ai Inc. Class AJune 24, 20243/company/healwell-ai-inc/news/healwell-ais-pentavere-demonstrates-its-darwen-ai-system-can-support-earlier-detection-of-radiation-related-toxicities-in-cancer-patients-for-preventative-care
HEALWELL AI's Pentavere Demonstrates Its DARWEN AI System Can Support Earlier Detection of Radiation Related Toxicities in Cancer Patients for Preventative Care

About this update from Healwell Ai Inc. Class A

[{"type":"text","content":"HEALWELL AI's Pentavere Demonstrates Its DARWEN AI System Can Support Earlier Detection of Radiation Related Toxicities in Cancer Patients for Preventative CarePentavere collaborated with Princess Margaret Cancer Centre's Radiation Oncology Department to assess the feasibility and accuracy of DARWEN™ AI to find patients experiencing radiation related toxicities based on information retrieved from electronic health records.The data and results from this groundbreaking AI research collaboration have been accepted for presentation at the American Society for Radiation Oncology in Washington DC on September 29th and the Canadian Association of Radiation Oncology in Vancouver on September 11th.This work underscores the potential of AI powered clinical decision support to provide insights into the long-term care of cancer patients and to support oncological decision-making, balancing the act of curing cancer patients with the hardship faced by cancer survivors. Toronto, Ontario--(Newsfile Corp. - June 24, 2024) - HEALWELL AI Inc. (TSX: AIDX) (OTCQX: HWAIF) (\"HEALWELL\" or the \"Company\"), a healthcare technology company focused on AI and data science for preventative care, is pleased to announce that a successful AI research collaboration between its subsidiary, Pentavere Research Group Inc. (\"Pentavere\"), and Princess Margaret Cancer Centre to assess the feasibility and accuracy of Pentavere's DARWEN™ AI system to find patients experiencing radiation related toxicities using electronic health records has been accepted for presentation and publication at two prestigious medical conferences. Approximately half of all cancer patients undergo radiotherapy1 and up to 10% of these patients will develop severe toxicity2 affecting their quality of life and survival. The ability to identify these patients as early as possible is critical to these patients' outcomes and survival. The Adult Radiation Late Effect Clinic (ARLEC) at Princess Margaret Cancer Centre is the only clinic of its kind in Canada established to help patients affected by radiotherapy side effects, but the data required to identify and do research on these patients is buried within the clinical text of electronic health records which is extremely time consuming and expensive to analyze. This continued AI validation builds upon Pentavere's previously pu...

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