Navigating AI and machine learning in cancer research: an end-to-end translational framework
Shalini Saha, Md Saif Ali, Anand Kumar Tengli, Sankeerthana Renuka Prasad, Pramod Mallikarjunaswamy, Ramkumar Pillappan, Komal Kumar Javarappa
Shalini Saha, Md Saif Ali, Anand Kumar Tengli, Sankeerthana Renuka Prasad, Pramod Mallikarjunaswamy, Ramkumar Pillappan, Komal Kumar Javarappa
Longpeng Ma, Jinning Zhang, Juntong Wei, Wenbo Bian, Tao Bo, Shanshan Shao, et al.
Abstract Background Individual susceptibility to alcohol-related liver disease (ALD) varies substantially despite similar alcohol consumption patterns. Emerging evidence suggests metabolism-disrupting agents (MDAs) may synergistically amplify alcohol-induced hepatotoxicity, yet p…
Kai Gui, Yuehua Chen, Qinqin Du, Ke Lv, W Y Wang, Ziyun Li, et al.
Cancer-associated fibroblasts (CAFs) are a major stromal component of the tumor microenvironment (TME) and actively participate in tumor progression. Although CAF heterogeneity in colorectal cancer (CRC) is increasingly recognized, how individual CAF subpopulations simultaneously…
Quan Yuan, Yupeng Sha, Rui Yu, Hao Yu, Rongjie Ye, Yi Du, et al.
Brain metastasis (BM) is a devastating complication of breast cancer (BC) with a poor prognosis. Early identification of high-risk patients is essential but currently lacks accurate predictive tools. This study aimed to develop a stable machine learning model for predicting BM in…