Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“‘ Cancer genomics and bioinformatics in Latin American countries: applications, challenges, and perspectives

πŸ“” Journal: Frontiers in Oncology (I.F.=3.3)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Erika Sofia Torres-Narvaez, Daniel Felipe Mendivelso-GonzΓ‘lez, Juan AndrΓ©s Artunduaga-Alvarado, ...
🏒Universities: Universidad Nacional de Colombia & Instituto Nacional de Cancerología, Colombia

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#review #cancer #latin_america
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πŸ“ƒ Preventive Pathways for Healthy Ageing: A Systematic Literature Review

πŸ““ Journal: Geriatrics (I.F.=2.1)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Alice Masini, NiccolΓ² Cherasco, Andrea Conti, ...
🏒University: Università del Piemonte Orientale, Italy

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πŸ“²Channel: @Bioinformatics
#review #ageing #pathway
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πŸ“ƒ Artificial intelligence-based methods for protein structure prediction: a survey

πŸ“• Journal: Artificial Intelligence Review (I.F.=13.9)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Zhi-Hui Zhan, Jun Hong, Jian-Yu Li, Cheng Wang, ...
🏒University: Nankai University & South China University of Technology & Xi’an Jiaotong University, China

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πŸ“²Channel: @Bioinformatics
#review #protein #strcuture
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πŸ“„Current AI technologies in cancer diagnostics and treatment

πŸ“˜ Journal: Molecular Cancer (πŸ”₯I.F.=33)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Ashutosh Tiwari, Soumya Mishra & Tsung-Rong Kuo
🏒University: Durban University of Technology, Durban, South Africa - School of Interdisciplinary Education and Research, India - Taipei Medical University, Taiwan

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πŸ“²Channel: @Bioinformatics
#review #ai #cancer
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πŸ“‘ Transformers in RNA structure prediction: A review

πŸ“— Journal: Computational and Structural Biotechnology Journal (I.F.=4.1)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Mayank Chaturvedi, Mahmood A. Rashid, Kuldip K. Paliwal
🏒University: Griffith University, Australia

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πŸ“²Channel: @Bioinformatics
#review #rna #transformer
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πŸ“ƒ Future of Breast Cancer Diagnosis: A Review of DL and ML Applications and Emerging Trends for Multimodal Data

πŸ“” Journal: IEEE Access (I.F.=3.6)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Beibit Abdikenov; Tomiris Zhaksylyk; Olzhas Shortanbaiuly
🏒University: Astana IT University, Kazakhstan

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πŸ“²Channel: @Bioinformatics
#review #breast #cancer #ml #deep_learning #multimodal
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πŸ“„ Current approaches and outstanding challenges of functional annotation of metabolites: a comprehensive review

πŸ““ Journal: Briefings in Bioinformatics (I.F.=7.7)
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: Quang-Huy Nguyen , Ha Nguyen , Edwin C Oh , Tin Nguyen
🏒Universities: Auburn University & University of Nevada, United States

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#review #metabolites #annotation
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