This video is entirely AI generated and does not replicate any original material. It should not be considered a substitute for authentic sources. For complete context and techniques, viewers are encouraged to refer to the original content.
Based on findings from:
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Doctronic AI Regulatory Mitigation Agreement
Utah Office of Artificial Intelligence Policy.
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Face aging rate quantifies change in biological age to predict cancer outcomes
Fridolin Haugg, et al.. Nature Communications, 2026.
DOI: 10.1038/s41467-025-66758-w
Weekly News Brief: May 26–29, 2026
To catch up on all of the news from this past week, listen to our weekly news brief for the week of May 26–29, 2026.
This week’s brief covers updates on the Doctronic AI pilot program, an AI tool for predicting cancer outcomes based on face aging rate, and the start of the 2026 ASCO Annual Meeting.
To learn more about Doctronic, read "What an AI Prescription Pilot in Utah Could Mean for Oncology," or see the updates from the Utah Office of Artificial Intelligence Policy.
For more information on FaceAge, read "Non-invasive AI Tool for Predicting Cancer Outcomes Based on Face Aging," or see the source report in Nature Communications.
To stay in the know on AI-related research from the 2026 ASCO Annual Meeting, beginning today, visit ascoai.org/meetings.
Disclaimer: This newscast was generated with the assistance of AI tools and avatars. All content is reviewed and approved by the editorial staff of ASCO AI in Oncology. Contact us with any questions.