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Data Authenticity, Consent, and Provenance for AI Are All Broken: What Will It Take to Fix Them?

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Instruction Tuning with Human Curriculum

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Red Teaming Large Language Models in Medicine: Real-World Insights on Model BehaviorPreprint

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Characterizing browser-based medical imaging AI with serverless edge computing: towards addressing clinical data security constraints

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Flexible Regularization Approaches for Fairness in Deep Learning

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Membership Inference Attacks Against Medical Databases

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A Study on AI Business Ecosystem

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Instruction Tuning with Human CurriculumPreprint

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Shaping the future of healthcare: ethical clinical challenges and pathways to trustworthy AI

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AI-Powered Building Ecosystems: A Narrative Mapping Review on the Integration of Digital Twins and LLMs for Proactive Comfort, IEQ, and Energy Management

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AI-driven nanomedicine for cancer theranostics

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A systematic review of vision and vision-language foundation models in ophthalmology

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Large Language Model Agents for Biomedicine: A Comprehensive Review of Methods, Evaluations, Challenges, and Future Directions

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HealthCare 5.0: An industry 5.0 perspective for next-generation medical systems with synergistic integration of IoT, AI, and 6G

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Current Trends and Future Opportunities of AI-Based Analysis in Mesenchymal Stem Cell Imaging: A Scoping Review

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A Review of Patient Health Care Monitoring System Based on Internet of Things

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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Bridging Traditional Modeling and Artificial Intelligence in Measles Epidemiology: Methods, Applications, and Future Directions—A Narrative Review

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Decoding Emotions: How AI and Machine Learning Unravel the Human Psyche

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Evaluating the Influence of Demographic Identity in the Medical Use of Large Language ModelsPreprint

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Designing Privacy-First Cloud Databases with Generative AI: Balancing Accessibility, Compliance, and Risk

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Immune BioGraphy: A tale of graphical approaches in systems and virtual immunology

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Analysis of Ethical Issues in Medical Decision-Making Driven by Artificial Intelligence and Governance Strategies

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Perspective Chapter: Artificial Intelligence in Predictive and Personalized Cell Therapy – Applications and Future Directions

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Towards Trustworthy Healthcare AI: Multimodal Intelligence, Generative Models and Governance in Real-World Applications

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Artificial intelligence-driven multiple sclerosis diagnosis using genomic and medical imaging data: a review

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Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational ModelsPreprint

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Building an Ethical and Trustworthy Biomedical AI Ecosystem Centered on Foundational Models and Multimodal Biomedical Data

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Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward

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