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Judul Recent Progress and Challenges of Artificial Intelligence in Bioinformatics and New Medicine / Edited by: Tao Wang; Jiajie Peng; Yongtian Wang
Pengarang Wang, Tao
Peng, Jiajie
Wang, Yongtian
EDISI -
Penerbitan Basel : MDPI, 2025
Deskripsi Fisik 154p. :ill.
ISBN 978-3-7258-5186-7
Subjek ARTIFICIAL INTELLIGENCE
BIOINFORMATICS
Catatan 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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Lokasi Akses Online https://directory.doabooks.org/handle/20.500.12854/174705
https://mdpi-res.com/bookfiles/book/11580/Recent_Progress_and_Challenges_of_Artificial_Intelligence_in_Bioinformatics_and_New_Medicine.pdf?v=1776733902

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
198126192 006.3 Rec Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
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245 # # $a Recent Progress and Challenges of Artificial Intelligence in Bioinformatics and New Medicine /$c Edited by: Tao Wang; Jiajie Peng; Yongtian Wang
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260 # # $a Basel :$b MDPI,$c 2025
300 # # $a 154p. : $b ill.
505 # # $a 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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700 1 # $a Wang, Yongtian
856 # # $a https://directory.doabooks.org/handle/20.500.12854/174705
856 # # $a https://mdpi-res.com/bookfiles/book/11580/Recent_Progress_and_Challenges_of_Artificial_Intelligence_in_Bioinformatics_and_New_Medicine.pdf?v=1776733902
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