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Yuncong Mao,Linda Tang,Melanie Alfonzo Horowitz et al. Yuncong Mao et al.
Predicting survival outcomes remains challenging due to the tumor's heterogeneity and the influence of multiple clinical factors. Machine learning (ML) techniques have demonstrated superior predictive performance compared to traditional statistical models.
Jingkun Shang,Jinlai Wei Jingkun Shang
Hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) for survival outcomes were either extracted or calculated. A random-effects model was applied to pool all of the results.
Chris Ho-Ming Wong,Ivan Ching-Ho Ko,David Ka-Wai Leung et al. Chris Ho-Ming Wong et al.
This review examines the importance of maximal TURBT in optimizing oncological outcomes in TMT, discusses its technical nuances, and explores the evidence supporting its role in achieving durable local control and improving survival outcomes in MIBC.
Manon Wick,Chloé Denis,Pierre Frères et al. Manon Wick et al.
Both combinations have demonstrated superior survival outcomes compared to sunitinib, the previous standard of care until 2019.
Hyo Shik Shin,Jae-Il Choi,Hye Won Chung et al. Hyo Shik Shin et al.
Clinical analysis showed that high NINJURIN2 expression correlated with poor survival outcomes in gastric cancer patients.
Muhammad Osama,Hira Moosa,Hussain Sohail Rangwala et al. Muhammad Osama et al.
IntroductionColorectal cancer (CRC) is the third most common cancer worldwide, with higher rates in industrialized countries. By 2030, the number of CRC cases may rise by 60%, reaching 2.2 million new cases and 1.1 million deaths. In 2020, ...
Francesca Gay,Edoardo Marchetti,Giuseppe Bertuglia Francesca Gay
The current treatment landscape for multiple myeloma involves a combination of proteasome inhibitors, immunomodulatory drugs, monoclonal antibodies, and autologous stem cell transplantation, which have significantly improved survival outcomes in recent years.
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