Weekly News Brief: February 16-20, 2026
To catch up on all of the news from this past week, listen to our weekly news brief for the week of February 16–20, 2026.
This week’s brief covers advances in predictive modeling for pediatric acute lymphoblastic leukemia relapse, deep-learning approaches for biomarker detection in non–small cell lung cancer, new evidence on how large language models respond to health misinformation, and the role of natural language processing in improving clinical trial prescreening accuracy:
To learn more about the PREPARE-ALL predictive model, read "Enhanced Detection of Relapse Risk in Pediatric ALL Using Multivariable Predictive Modeling," or see the source report in JCO Clinical Cancer Informatics.
For more information on AI biomarker classifiers, read "Deep-Learning Model Drives Histopathology-Based Biomarker Detection in NSCLC," or see the source report in npj Precision Oncology.
To learn more about large language models and medical misinformation, read "Large Language Models Susceptible to Authoritative-Sounding Health Misinformation," or see the source report from The Lancet Digital Health.
For more information on natural language processing in clinical trial prescreening, read "Clinical Staff Using Natural Language Processing Model Enhances Accuracy of Clinical Trial Prescreening Process," or see the source report from Nature Communications.
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