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The ability to recognize the personal and psychosocial impacts of a lung cancer diagnosis and treatment from the patient perspective.
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Update on screening for lung cancer in the U.S.
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Challenges in uptake, adherence, and disparities.
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The role of tobacco cessation in improving outcomes across the cancer continuum, including prevention, screening, diagnosis, treatment, recovery and survivorship.
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Evidence-based tobacco treatment strategies and apply them to example clinical scenarios in cancer care.
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The applications of AI in detection of those at risk for lung cancer.
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The applications of AI in stratification of those at risk for lung cancer.
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The SYBIL model for predicting future lung cancer risk.
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Integration of the SYBIL model into lung cancer screening and risk assessment strategies.
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