Recent Progress and Challenges of Artificial Intelligence in Bioinformatics and New Medicine
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This Reprint showcases cutting-edge research at the intersection of artificial intelligence (AI), bioinformatics, and new medicine. It highlights recent advances and persistent challenges in leveraging AI to address complex biological and clinical problems, such as multi-omics integration, cancer discovery, single-cell analysis, and network modeling. Contributions include innovative deep learning methods, data mining approaches, and computational tools designed to decode disease mechanisms, identify risk factors, and accelerate translational medicine. By compiling high-quality studies and revi...
This Reprint showcases cutting-edge research at the intersection of artificial intelligence (AI), bioinformatics, and new medicine. It highlights recent advances and persistent challenges in leveraging AI to address complex biological and clinical problems, such as multi-omics integration, cancer discovery, single-cell analysis, and network modeling. Contributions include innovative deep learning methods, data mining approaches, and computational tools designed to decode disease mechanisms, identify risk factors, and accelerate translational medicine. By compiling high-quality studies and reviews, this Reprint provides a comprehensive resource for researchers exploring how AI-driven technologies are reshaping bioinformatics and pioneering the future of precision medicine.
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