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Mount Sinai Researchers to Unveil Breakthrough AI Models for Predicting Chronic Respiratory Failure and Detecting Airway Obstruction at ATS 2025 Conference
- Mount Sinai researchers are presenting groundbreaking studies on AI applications in respiratory medicine at the ATS 2025 Conference in San Francisco.
- Their research focuses on AI models predicting chronic respiratory failure in COPD patients using blood biomarkers and enhancing sleep apnea diagnosis through machine learning.
- AI-assisted imaging innovation includes identifying airway obstructions and analyzing adipose tissue changes in OSA patients using PET/MRI imaging.
- Genomics research uncovers links between cellular senescence genes and asthma severity, paving the way for targeted therapies.
- Mount Sinai's studies also cover rare conditions like spontaneous lung intercostal herniation and the impact of environmental factors on respiratory health.
- Their focus extends to systemic lung cancer management, with efforts to improve incidental lung nodule tracking and early cancer detection using AI.
- The integration of AI, machine learning, and computational biology drives Mount Sinai's precision respiratory medicine approach.
- Their work not only aims to enhance diagnostic accuracy but also influence clinical guidelines and global public health policies in respiratory care.
- Mount Sinai's reputation for healthcare innovation and recognition in top hospital rankings underscores its leadership in medical research and clinical excellence.
- The ATS 2025 conference serves as a platform for sharing insights that can shape future respiratory research, clinical practices, and AI applications in healthcare.
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