The study by Tafadzwa Chaunzwa and colleagues focused on using artificial intelligence to analyze body composition in lung cancer patients receiving immunotherapy. They found that changes in muscle mass and fat quality during treatment were important indicators of patient outcomes. This study fills a gap in knowledge by providing a more nuanced understanding of the relationship between body composition and response to immunotherapy in non-small cell lung cancer. The researchers also developed an open-source AI tool for automated body composition analysis, which they hope will accelerate future studies in this area and improve precision oncology practices. The study was published in JAMA Oncology.
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AI-based body composition analysis predicts lung cancer treatment outcomes
