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🔎 How can AI-powered tools help scientists uncover hidden connections in disease research?

🔗 Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.025

📚 CSBJ: https://www.csbj.org/

#AIinScience #BiomedicalTextMining #Genomics #PrecisionMedicine #Bioinformatics #OpenScience #BiomedicalResearch #BiomedicalAI #LiteratureMining #SystemsBiology #Omics #KnowledgeDiscovery

Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.025

🧬 Can AI fix the chaos in biological sample data?

🔗 Annotation of biological samples data to standard ontologies with support from large language models. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.05.020

📚 CSBJ: https://www.csbj.org/

#AIinScience #LLMs #Bioinformatics #DataAnnotation #GPT4 #BiomedicalAI #OpenScience #FAIRData #Ontology #AIinBiology #DataInteroperability

Annotation of biological samples data to standard ontologies with support from large language models. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.05.020

🤖 How resilient are deep learning models to real-world imperfections in microscopy?

🔗 Practical guidelines for cell segmentation models under optical aberrations in microscopy. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.09.002

📚 CSBJ Quantum Biology and Biophotonics: https://www.csbj.org/qbio

#CellSegmentation #Microscopy #AIinBiology #OpticalAberrations #DeepLearning #BiomedicalAI #Cellpose #ComputationalBiology #PLCM

Practical guidelines for cell segmentation models under optical aberrations in microscopy. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.09.002

🧬Can we trust AI in bioinformatics if we don’t understand how it makes decisions?

As AI becomes central to bioinformatics, the opacity of its decision-making remains a major concern.

🔗 Demystifying the Black Box: A Survey on Explainable Artificial Intelligence (XAI) in Bioinformatics. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.12.027

📚 CSBJ: https://www.csbj.org/

#XAI #Bioinformatics #AIethics #ExplainableAI #Genomics #AI #BiomedicalAI #MachineLearning