US EditionAI Predicts Wasting Syndrome In Cancer Patients
- Researchers developed an AI program estimating cancer patients' risk for a serious wasting syndrome called cachexia.
- Current methods detecting cachexia are often inconsistent, subjective, and identify the syndrome too late in progression.
- The AI examines CT scans assessing muscle amount and uses other clinical data judging patient risk.
- The AI detected cachexia with up to 85% accuracy, according to findings presented by lead researcher Sabeen Ahmed.
- Early detection allows interventions helping slow muscle wasting and improve patient quality of life.
28 Articles
28 Articles
Wyoming Tribune Eagle
AI Predicts Wasting Syndrome In Cancer Patients
Key Takeaways
AI Model Enhances Cancer Cachexia Detection
April 28, 2025, Chicago, Illinois โ A new AI-driven biomarker model presented at the American Association for Cancer Research (AACR) Annual Meeting could transform the early detection of cancer cachexia, a life-threatening wasting syndrome affecting many cancer patients. By harnessing the power of artificial intelligence to analyze clinical and imaging data, this innovative technology offers hope for earlier interventions, potentially improving โฆ
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