A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...
(Barcelona, Spain September 6, 2025, 5:45 p.m. CEST / UTC +2 ) — A new study presented at the International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer (WCLC) ...
A 60-year-old’s routine health screening revealed stage 1 lung cancer – a reminder that the disease can strike anyone, and ...
Noetik CEO and co-founder Ron Alfa, M.D., Ph.D., said the licensing of human foundation models is “a new paradigm in biotech.” With the GSK deal validating the paradigm, in Alfa’s view, Noetik ...
Researchers at the Francis Crick Institute and AlveoliX have developed the first human 'lung-on-chip' model using stem cells taken from only one person. These chips simulate breathing motions and lung ...
Modeling suggests Medicaid eligibility restrictions could lead to 7.5 million coverage losses, over 1 million missed breast, ...
Introduction Integrating smoking cessation supports into lung cancer screening can improve abstinence rates. However, ...
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