π A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics
π Journal: Applied Sciences (I.F.=2.5)
πPublish year: 2025
π§βπ»Authors: Hassan Eshkiki, Farinaz Tanhaei, Fabio Caraffini , ...
π’University: Swansea University, UK
π Study the paper
π²Channel: @Bioinformatics
#review #ai #explainability
π Journal: Applied Sciences (I.F.=2.5)
πPublish year: 2025
π§βπ»Authors: Hassan Eshkiki, Farinaz Tanhaei, Fabio Caraffini , ...
π’University: Swansea University, UK
π Study the paper
π²Channel: @Bioinformatics
#review #ai #explainability
β€2π1
π Survey on Mathematical Modeling of Infectious Disease Dynamics: Insights and Applications
πPublish year: 2025
π§βπ»Authors: Neveen Ali Eshtewy, Ali Forootani, Zahra Ahangari Sisi, ...
π’University: Max Planck Institute of Geoanthropology & Helmholtz Centre for Environmental Research, Germany - Arish University, Egypt - Tabriz University of Technologyβ Sahand, Iran
π Study the paper
π²Channel: @Bioinformatics
#review #infectious #disease
πPublish year: 2025
π§βπ»Authors: Neveen Ali Eshtewy, Ali Forootani, Zahra Ahangari Sisi, ...
π’University: Max Planck Institute of Geoanthropology & Helmholtz Centre for Environmental Research, Germany - Arish University, Egypt - Tabriz University of Technologyβ Sahand, Iran
π Study the paper
π²Channel: @Bioinformatics
#review #infectious #disease
π5β€3
π½ Large Language Models in Computational Biology β A Primer
π Watch
π²Channel: @Bioinformatics
#video #llm
π Watch
π²Channel: @Bioinformatics
#video #llm
YouTube
Large Language Models in Computational Biology β A Primer
SPEAKER: Shaoheng Liang is a computer scientist/bioinformatician and a Lane Fellow at Carnegie Mellon University in the Department of Computational Biology, working with Dr. Jian Ma. Before that, he worked at NuProbe USA, Inc., a company innovating cuttingβ¦
β€7
π A comprehensive survey of gene co-expression network analysis: methods, tools, challenges, and future directions
π Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F.=2)
πPublish year: 2025
π§βπ»Authors: Pallabi Patowary, Dhruba K. Bhattacharyya & Jugal Kumar Kalita
π’Universities: Golaghat Engineering College & Tezpur University, India - University of Colorado, USA
π Study the paper
π²Channel: @Bioinformatics
#review #co_expression #gene
π Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F.=2)
πPublish year: 2025
π§βπ»Authors: Pallabi Patowary, Dhruba K. Bhattacharyya & Jugal Kumar Kalita
π’Universities: Golaghat Engineering College & Tezpur University, India - University of Colorado, USA
π Study the paper
π²Channel: @Bioinformatics
#review #co_expression #gene
β€4π2π2
π Proteomics research in aging: a bibliometric and visualized analysis of evolution and emerging trends (1998β2024 and early 2025)
π Journal: Biogerontology (I.F.=4.1)
πPublish year: 2026
π§βπ»Authors: Yuyuan Gao, Yang Yang, Xinli Xue, ...
π’University: Hospital of Zhengzhou University, China
π Study the paper
π²Channel: @Bioinformatics
#review #protein #aging
π Journal: Biogerontology (I.F.=4.1)
πPublish year: 2026
π§βπ»Authors: Yuyuan Gao, Yang Yang, Xinli Xue, ...
π’University: Hospital of Zhengzhou University, China
π Study the paper
π²Channel: @Bioinformatics
#review #protein #aging
β€6
πΉ Single-cell and spatial metabolomics online day
π Watch
π²Channel: @Bioinformatics
#video #single_cell #spatial #metabolomics
π Watch
π²Channel: @Bioinformatics
#video #single_cell #spatial #metabolomics
π3
π Registration is open for the One-Month Comprehensive International Bioinformatics Workshop by Decode Life
π₯ Computational Immunologyπ₯
π Duration: 10 January - 3 February 2026
π² Fees: βΉ1300 for Indian Participants / $30 for International Participants
π Registration Link:
https://decodelife.co.in
β¨ Key Features:
β 22 sessions with approximately 35 hours of learning
β E-Certificate of Participation
β Video recordings and relevant material shared after each session
β FAQs: https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
π₯ Computational Immunologyπ₯
π Duration: 10 January - 3 February 2026
π² Fees: βΉ1300 for Indian Participants / $30 for International Participants
π Registration Link:
https://decodelife.co.in
β¨ Key Features:
β 22 sessions with approximately 35 hours of learning
β E-Certificate of Participation
β Video recordings and relevant material shared after each session
β FAQs: https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
β€7
π Applications of large-scale artificial intelligence models in bioinformatics
π Journal: Quantitative Biology (I.F.=1.4)
πPublish year: 2025
π§βπ»Authors: Mingjing Li, Qichen Shang, Ziyang Dong, ...
π’University: SichuanUniversity, China
π Study the paper
π²Channel: @Bioinformatics
#review #ai #llm
π Journal: Quantitative Biology (I.F.=1.4)
πPublish year: 2025
π§βπ»Authors: Mingjing Li, Qichen Shang, Ziyang Dong, ...
π’University: SichuanUniversity, China
π Study the paper
π²Channel: @Bioinformatics
#review #ai #llm
β€7π6
π AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions
π Journal: Clinical and Experimental Medicine (I.F.=3.5)
πPublish year: 2026
π§βπ»Authors: Chou-Yi Hsu, Shavan Askar, Samer Saleem Alshkarchy, ...
π’University: Chia Nan University of Pharmacy and Science, Taiwan - Erbil Polytechnic University & Al-Qasim Green University & The Islamic University, Iraq - Siksha βOβ Anusandhan (Deemed to Be University), India
π Study the paper
π²Channel: @Bioinformatics
#review #ai #omics #oncology
π Journal: Clinical and Experimental Medicine (I.F.=3.5)
πPublish year: 2026
π§βπ»Authors: Chou-Yi Hsu, Shavan Askar, Samer Saleem Alshkarchy, ...
π’University: Chia Nan University of Pharmacy and Science, Taiwan - Erbil Polytechnic University & Al-Qasim Green University & The Islamic University, Iraq - Siksha βOβ Anusandhan (Deemed to Be University), India
π Study the paper
π²Channel: @Bioinformatics
#review #ai #omics #oncology
π1
π A comprehensive systematic literature review of multiple sequence alignment algorithms
πJournal: Discover Computing
πPublish year: 2026
π§βπ»Authors: Jeneffer Sabonsolin & Demelo Lao
π’Universities: FEU Institute of Technology & University of the Philippines Cebu, Philippines
π Study the paper
π²Channel: @Bioinformatics
#review #sequence_alignment
πJournal: Discover Computing
πPublish year: 2026
π§βπ»Authors: Jeneffer Sabonsolin & Demelo Lao
π’Universities: FEU Institute of Technology & University of the Philippines Cebu, Philippines
π Study the paper
π²Channel: @Bioinformatics
#review #sequence_alignment
β€3π3
π Harnessing Artificial Intelligence for Genomic Variant Prediction: Advances, Challenges, and Future Directions
π Journal: GigaScience
πPublish year: 2026
π§βπ»Authors: Indah Pakpahan, Mentari Sihombing, Haohan Liu,...
π’Universities: Dalian University of Technology, China - The University of New South Wales, Australia
π Study the paper
π²Channel: @Bioinformatics
#review #variant #genomic #ai
π Journal: GigaScience
πPublish year: 2026
π§βπ»Authors: Indah Pakpahan, Mentari Sihombing, Haohan Liu,...
π’Universities: Dalian University of Technology, China - The University of New South Wales, Australia
π Study the paper
π²Channel: @Bioinformatics
#review #variant #genomic #ai
β€3π3
πFoundation Models in Omics Research: A Comprehensive Survey
πPublish year: 2026
π§βπ»Authors: Haozhe Liu, Wenhao Cai, Yizheng Sun
π’University: The University of Manchester, United Kingdom
π Study the paper
π²Channel: @Bioinformatics
#review #llm #foundation_model #omics #ai
πPublish year: 2026
π§βπ»Authors: Haozhe Liu, Wenhao Cai, Yizheng Sun
π’University: The University of Manchester, United Kingdom
π Study the paper
π²Channel: @Bioinformatics
#review #llm #foundation_model #omics #ai
β€5
π Learnable protein representations in computational biology for predicting drug-target affinity
π Journal: Journal of Cheminformatics (I.F.=5.7)
πPublish year: 2026
π§βπ»Authors: Rachit Kumar, Joseph Romano & Marylyn Ritchie
π’Universities: University of Pennsylvania & Medical University of South Carolina, USA
π Study the paper
π²Channel: @Bioinformatics
#review #drug #target #protein #representation
π Journal: Journal of Cheminformatics (I.F.=5.7)
πPublish year: 2026
π§βπ»Authors: Rachit Kumar, Joseph Romano & Marylyn Ritchie
π’Universities: University of Pennsylvania & Medical University of South Carolina, USA
π Study the paper
π²Channel: @Bioinformatics
#review #drug #target #protein #representation
π1π1
πNavigating the Computational Landscape for Drug Repurposing
π Journal: Annual Review of Pharmacology and Toxicology (I.F.=13.1)
πPublish year: 2026
π§βπ»Authors: Andrea Γlvarez-PΓ©rez, LucΓa Prieto-SantamarΓa, Ana I. Casas,...
π’University: Universidad PolitΓ©cnica de Madrid, Spain - Maastricht University, The Netherlands - University Clinic Essen, Germany - Harvard Medical School, USA
π Study the paper
π²Channel: @Bioinformatics
#review #drug #repurposing
π Journal: Annual Review of Pharmacology and Toxicology (I.F.=13.1)
πPublish year: 2026
π§βπ»Authors: Andrea Γlvarez-PΓ©rez, LucΓa Prieto-SantamarΓa, Ana I. Casas,...
π’University: Universidad PolitΓ©cnica de Madrid, Spain - Maastricht University, The Netherlands - University Clinic Essen, Germany - Harvard Medical School, USA
π Study the paper
π²Channel: @Bioinformatics
#review #drug #repurposing
π5β€1
πΉ Leveraging Genomic, Preclinical, and Drug Response Data in the Age of AI
π₯Dr. Michael Boice from Certis Oncology
π Watch
π²Channel: @Bioinformatics
#video #genomic #drug #ai
π₯Dr. Michael Boice from Certis Oncology
π Watch
π²Channel: @Bioinformatics
#video #genomic #drug #ai
YouTube
Leveraging Genomic, Preclinical, and Drug Response Data in the Age of AI
Join Dr. Michael Boice from Certis Oncology for a discussion and demonstration of how artificial intelligence can improve preclinical decision-making in cancer research.
Molecular profiling and other tumor model characterization data are becoming increasinglyβ¦
Molecular profiling and other tumor model characterization data are becoming increasinglyβ¦
π4β€1
π AI-Powered Single-Cell RNA-seq β 7-Minute Runtime Report
How can AI streamline end-to-end single-cell RNA analysis?
In this session, we demonstrate how Drylab enables:
π¬ End-to-end single-cell RNA workflow
β’ Data preprocessing
β’ Advanced analysis
β’ Automated reporting
π¬ Natural-language chat to explore and interpret results
π» Full code environment for transparency
π Clear, reproducible outputs ready for review and sharing
π Read the full case study:
https://thedrylab.com/use-case/comprehensive-multi-organ-endothelial-cell-atlas-analysis-and-liver-specific
π§ͺ Explore the full chat + code environment:
https://app.thedrylab.com/share/wLRjnJxzWVYz
π²Channel: @Bioinformatics
How can AI streamline end-to-end single-cell RNA analysis?
In this session, we demonstrate how Drylab enables:
π¬ End-to-end single-cell RNA workflow
β’ Data preprocessing
β’ Advanced analysis
β’ Automated reporting
π¬ Natural-language chat to explore and interpret results
π» Full code environment for transparency
π Clear, reproducible outputs ready for review and sharing
π Read the full case study:
https://thedrylab.com/use-case/comprehensive-multi-organ-endothelial-cell-atlas-analysis-and-liver-specific
π§ͺ Explore the full chat + code environment:
https://app.thedrylab.com/share/wLRjnJxzWVYz
π²Channel: @Bioinformatics
Thedrylab
Drylab Use Cases: Single-Cell RNA-sequencing to profile Endothelial cells across organs
Explore how biotech teams use Drylab for biomarker discovery, patient stratification, drug target ID, and single-cell analysis.
π6β€3