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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

T. Yanagisawa

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Open access Sep 2026

Prognostic Stratification in High‐Volume Metastatic Hormone‐Sensitive Prostate Cancer Treated With First‐Line Androgen Receptor Pathway Inhibitor–Based Combination Therapy

We aimed to stratify clinical risk among patients with high‐volume metastatic hormone‐sensitive prostate cancer (mHSPC) treated with first‐line androgen receptor pathway inhibitor (ARPI) plus androgen deprivation therapy (ADT).

Keiichiro Miyajima, T. Yanagisawa, Wataru Fukuokaya et al. · 0 citations
Open access Sep 2026

Cancer‐Control Outcomes of Japanese Vs. German Metastatic Hormone‐Sensitive Prostate Cancer Patients: A Real‐World Cross‐Country Comparison of Patients Undergoing Combination Therapies

Differences in tumor biology, ethnicities, and healthcare structures across populations may contribute to variability in oncologic outcomes. This study compared baseline characteristics and oncologic outcomes of Japanese and German metastatic hormone‐sensitive prostate cancer (mHSPC) patients.

Mike Wenzel, Keiichiro Miyajima, M. Filzmayer et al. · 1 citation
Open access Sep 2026

Perioperative Safety and Long‐Term Oncological Outcomes of En Bloc Resection of Bladder Tumor: A Multicenter Real‐World Study of 668 Patients

To evaluate perioperative safety, pathological outcomes, and oncological outcomes of en bloc resection of bladder tumor (ERBT) in a large multicenter real‐world cohort.

T. Yanagisawa, A. Matsukawa, K. Iwatani et al. · 0 citations
Review Open access Aug 2026

Diet and risk of bladder cancer: a systematic review of epidemiological evidence.

Available evidence does not support a strong or consistent association between dietary factors and bladder cancer (BC) risk, and patients should be informed that dietary modifications alone are unlikely to meaningfully alter their BC risk.

Keiichiro Miyajima, Marcin Miszczyk, Navid Roessler et al. · 0 citations
#explainable ai Sep 2026

Machine learning integrated explainable artificial intelligence in predicting toxicities of enfortumab vedotin in urothelial carcinoma: an exploratory study.

Preliminary, hypothesis-generating findings suggest ML may predict EV-related toxicities, but single train-test split, small event counts, and lack of external validation preclude clinical use.

K. Sridharan, Mattia Alberto Di Civita, G. Sivaramakrishnan et al. · 0 citations

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