Lung Cancer Diagnosis and Treatment
Moving in JAMA, medRxiv, New England Journal of Medicine, Frontiers in Genetics, Gut, Nature Medicine.
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Latest in Lung Cancer Diagnosis and Treatment
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AI models using clinical and blood data achieved up to 0.77 AUC in NSCLC treatment prediction, outperforming traditional clinical scores in the largest real-world study to date.
- Open access
- 1 cites
Selpercatinib significantly improves 2-year event-free survival in early-stage RET fusion-positive NSCLC, reaching 92% in stage II/IIIA patients compared to 61% with placebo.
- 2 cites
Lung transplant for lung-limited stage IV NSCLC resulted in 100% one-year survival in selected patients, significantly outperforming medical management alone.
Elderly lung cancer patients undergoing VATS face a 50% risk of developing chronic postsurgical pain, with a new scoring system achieving an AUC of 0.847 for prediction.
- Open access
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Moving areas, week to 3 Oct 2026
- Single-cell and spatial transcriptomics10
- Artificial Intelligence in Healthcare and Education8
- CAR-T cell therapy research7
- Neuroinflammation and Neurodegeneration Mechanisms6
- Lung Cancer Treatments and Mutations5
- Diabetes Treatment and Management4
- Pancreatic and Hepatic Oncology Research4
- Photosynthetic Processes and Mechanisms4
- Genomics and Chromatin Dynamics4
- Gut microbiota and health4