AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
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Surgical Management and Outcomes of Carotid Body Tumors in a High-Altitude Region of Yemen: A Prospective Cohort Study. [PDF]
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Biological use of molybdenum and tungsten stems back to 3.4 billion years ago. [PDF]
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Secular Changes in Cranial Morphology and Pattern of Sexual Dimorphism in Modern Japanese: A Geometric Morphometric Analysis Using Post-Mortem Computed Tomography Data. [PDF]
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Serum Creatinine Level at One Month Post-Transplant Predicts 3-Year and 5-Year Graft Survival and Renal Function: A Large Single-Center Retrospective Cohort Study. [PDF]
Lee J, Son S, Ju M.
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Contraceptive use patterns among migrant and host community women in Türkiye: a decade of data from a tertiary family planning center. [PDF]
Göksu M, Karadeniz O.
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