From pixels to patients: the evolution and future of deep learning in cancer diagnostics: (Trends in Molecular Medicine, published online December 11, 2024).
Yichen Yang, Hongru Shen, Kexin Chen, Xiangchun Li
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期刊介绍:
Trends in Molecular Medicine (TMM) aims to offer concise and contextualized perspectives on the latest research advancing biomedical science toward better diagnosis, treatment, and prevention of human diseases. It focuses on research at the intersection of basic biology and clinical research, covering new concepts in human biology and pathology with clear implications for diagnostics and therapy. TMM reviews bridge the gap between bench and bedside, discussing research from preclinical studies to patient-enrolled trials. The major themes include disease mechanisms, tools and technologies, diagnostics, and therapeutics, with a preference for articles relevant to multiple themes. TMM serves as a platform for discussion, pushing traditional boundaries and fostering collaboration between scientists and clinicians. The journal seeks to publish provocative and authoritative articles that are also accessible to a broad audience, inspiring new directions in molecular medicine to enhance human health.