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Digital Health Briefing: ASCO’s new partnerships aim to improve oncology care

Article published in Business Insider

Digital Health Briefing: ASCO’s new partnerships aim to improve oncology care

THE AMERICAN SOCIETY OF CLINICAL ONCOLOGY TO IMPROVE CARE WITH NEW PARTNERSHIPS: The American Society of Clinical Oncology (ASCO) has come to a new license agreementwith two digital health start-ups, Tempus and Precision Health AI, to give the firms access to ASCO’s massive database of patient records, named CancerLinQ, for an undisclosed sum. Under the agreement, Tempus will use its genomic sequencing technology to transform unstructured data from CancerLinQ into actionable information to be used by physicians and clinics. Precision Health AI will focus on using artificial intelligence and machine learning technology to define cancer datasets for precision treatments and to aid in the development of new cancer drugs.

This will be a significant deal for each stakeholder:

  • ASCO: The non-profit organization has been extremely effective in securing data, boasting collaborations with over 100 oncology practices nationwide with access to millions of records. However, the firm has struggled to structure this data into effective datasets due to technical and budget constraints. Through this new deal, ASCO’s 40,000 members will get the technical tools to make better use of their data and the organization will receive licensing loyalties to further support growth.
  • Tempus: This deal will propel the Chicago-based start-up towards its goal of becoming the world’s largest library of cancer care data. On the CancerLinQ database, there are treatment results for roughly 600,000 patients which Tempus will now have access to this will help the company touch 25% to 30% of cancer patients next year, according to Tempus co-founder Eric Lefkofsky who was cited by Hi-Tech Chronicle.
  • Precision Health AI: The firm relies heavily on its machine learning technology for real-time analysis to enable the practice of precision medicine for better cancer patient care. One way to make this technology more accurate is to keep adding data, which drives variance down. Precision Health AI could improve its offerings by leveraging data from the over one million cancer patient records on the CancerLinQ database.

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