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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Leveraging CpG methylation signatures for robust multi-class cancer classification across platforms
Marco A. De Velasco, et al.
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Path-IO: A deep learning pathomics framework for personalized immunotherapy selection and outcome prediction in metastatic non-small cell lung cancer
Rukhmini Bandyopadhyay, et al.
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Real-time multimodal AI enables individualized care in challenging subpopulations
Suchi Saria, et al.
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Making ChatGPT better for clinicians
OpenAI.
Weekly News Brief April 20–24, 2026
To catch up on all of the news from this past week, listen to our weekly news brief for the week of April 20–24, 2026.
This week’s brief covers three AI highlights from the 2026 AACR Annual Meeting, plus OpenAI's launch of a new chatbot for clinicians.
To learn more about the methylation-based machine learning model, read "ML Model Uses Methylation Patterns to Identify Tissue of Origin," or read the abstract.
For more information on Path-IO, read "Multimodal Model Uses Pathology Data to Predict Immunotherapy Response in NSCLC," or read the abstract.
To learn more about a mixture-of-experts AI model for individualized risk insights, read "Real-Time Multimodal AI for Proactive, Individualized Care," or read the abstract.
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.
The ideas and opinions expressed in ASCO AI in Oncology do not necessarily reflect those of Conexiant or ASCO. The mention of any company, product, service, or therapy should not be construed as an endorsement of any kind. Conexiant and ASCO assume no responsibility for any injury or damage to persons or property arising out of or related to any use of material contained in this publication or to any errors or omissions.