AIとがん研究 ── 肺がん ── 2026-10-19

対象誌と選び方は索引の頁に

肺がんの治療・治験とAI

• THINKERS-X: multisequence MRI radiomics in a mixture-of-experts model for outcome prediction and exploratory dose-scenario evaluation in lung cancer brain metastases treated with radiosurgery.
  THINKERS-X: multisequence MRI radiomics in a mixture-of-experts model for outcome prediction and exploratory dose-scenario evaluation in lung cancer brain metastases treated with radiosurgery.
  Clinical & experimental metastasis · 2026-10-17
  抄録（全訳）
  掲載誌の IF 相当：4.1（OpenAlex の直近 2 年の平均被引用数・2026-10-18 時点の値、2026-10-19 に取得。正式な IF（Clarivate）ではない）
  書誌：Reyes JS, Hadjipanayis CG, Niranjan A. THINKERS-X: multisequence MRI radiomics in a mixture-of-experts model for outcome prediction and exploratory dose-scenario evaluation in lung cancer brain metastases treated with radiosurgery. Clin Exp Metastasis. 2026 Oct 17;43(6):59. doi:10.1007/s10585-026-10443-9.
  確認の範囲：抄録のみ確認
• AI-Based Cancer Drug Response Prediction: A Machine Learning Ensemble for Lung Cancer Pharmacogenomic Classification
  AI-Based Cancer Drug Response Prediction: A Machine Learning Ensemble for Lung Cancer Pharmacogenomic Classification
  International Journal of Scientific Research in Computer Science Engineering and Information Technology · 2026-10-17
  抄録（全訳）
  掲載誌の IF 相当：1.0（OpenAlex の直近 2 年の平均被引用数・2026-10-18 時点の値、2026-10-19 に取得。正式な IF（Clarivate）ではない）
  書誌：P KP, Mohanapriya D, Thara L. AI-Based Cancer Drug Response Prediction: A Machine Learning Ensemble for Lung Cancer Pharmacogenomic Classification. Int J Sci Res Comput Sci Eng Inf Technol. 2026 Oct 17;12(5):466-78. doi:10.32628/cseit2612553.
  確認の範囲：抄録のみ確認

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