This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
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From "Black Box" to Learning System: Formative Viewpoint on Digital Health Governance for Childhood Cancer Information in Japan. [PDF]
Kubota K, Urakawa R.
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Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology. [PDF]
Lin CT, Lu H, Fan AP.
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C2PO: an ML-powered optimizer of the membrane permeability of cyclic peptides through chemical modification. [PDF]
Aerts R +6 more
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A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks. [PDF]
Abdelkreem E, Hussein S, Tammam A.
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Birth of a Language in the Backlands of Brazil. [PDF]
Almeida-Silva A +4 more
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Visual Word Segmentation Cues in Tibetan Reading: Comparing Dictionary-Based and Psychological Word Segmentation. [PDF]
Niu D, Xie Z, Liu J, Wang C, Zhang Z.
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A python workflow definition for computational materials design.
Janssen J +10 more
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The Structure of English Dictionaries
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