Advancements in Machine Learning for Medical Applications
Country: India
Email: ranjith.mecs@gmail.com
Title of the Journal : WSEAS TRANSACTIONS ON COMPUTER RESEARCH
Title of the Special Issue : Advancements in Machine Learning for Medical Applications
1. Computational Drug Discovery
2. Development of smart biomaterials for medical implants
3. AI-based image analysis for medical imaging, including MRI and CT scans
4. Personalized Medicine
5. Biomedical Sensors and Devices
6. Materials Characterization
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Name of the Organizer: R. Ranjith
Department: Artificial Intelligence and Mechanical Sciences
University: Rademics Research InstituteAim: The fusion of machine learning with medical applications and material science has ushered in a new era of innovation, offering transformative solutions to complex healthcare challenges. "Advancements in Machine Learning for Medical Applications in Material Science," a special issue, serves as a crucible for exploring the remarkable synergy between these fields. Machine learning, propelled by its capacity to analyze extensive datasets and uncover intricate patterns, promises to accelerate the development of materials indispensable to healthcare. This convergence finds applications across a broad spectrum, from precision drug discovery and implantable biomaterials to diagnostic imaging and personalized medicine. In this era of data-driven healthcare, machine learning algorithms are revolutionizing medical material science. Researchers are harnessing the power of artificial intelligence to design materials tailored to specific medical applications, enhance the efficacy of drug delivery systems, and advance the development of cutting-edge biomedical devices. This special issue beckons pioneering contributions at the forefront of this convergence, providing a platform to disseminate groundbreaking research that blurs the boundaries between material science, medicine, and AI. The special issue aims to unlock the full potential of machine learning in shaping the future of healthcare through material science.
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