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About
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Objectives

This symposium is dedicated to exploring the cutting-edge advancements in biomedical data processing, from state-of-the-art data acquisition techniques to the transformative integration of artificial intelligence (AI) in clinical interpretation. By convening leading experts, researchers, and practitioners across disciplines, the event aims to foster a dynamic exchange of ideas, showcase groundbreaking innovations, and address the critical challenges and opportunities at the intersection of biomedical science and AI. Participants will gain insights into how AI-driven approaches are revolutionizing diagnostics, enabling personalized treatment strategies, and enhancing patient outcomes. Ultimately, this gathering aspires to inspire collaborative efforts, accelerate the translation of research into practice, and shape the future of precision medicine through the power of data and AI.

Eligibility

The following individuals are deemed eligible:

  • Undergraduates

  • Postgraduates

  • Doctoral students (enrolled in PhD)

  • Faculty members

  • Industry professionals 

Topics covered

  • Fundamentals of Biomedical Signal and Image Processing for Clinical Applications

  • Explainable AI (XAI) in Healthcare: Bridging Signals, Images, and Clinical Interpretation

  • XAI for Medical Signal and Image Analysis: From Beat Classification to Disease Detection

  • Interpretable Machine Learning for Multimodal Biomedical Data

  • Hands-On Session: Applying XAI to Biomedical Signals and Images

  • Ethical, Regulatory, and Practical Challenges in AI-Driven Diagnostics

  • The Future of AI in Biomedical Processing: Signals, Images, and Precision Medicine

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ABP 2025 Connect

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