Multi-source data-driven machine learning improves lung cancer care
Recent coverage describes how **multi‑source machine learning models** that integrate imaging, clinical, and other data can improve lung cancer diagnosis and treatment decisions. By combining diverse datasets, these AI systems aim to enhance risk stratification, personalize therapies, and support clinicians in managing complex oncology cases.
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