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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.