Cloud AI systems for biomedical research optimization and bias mitigation

Biomedical research teams leveraging cloud-based systems have access to infrastructure, tools, and solutions that enhance AI model development and deployment while optimizing research workflows, mitigating algorithmic bias, and accelerating large-scale implementation with greater efficiency and scalability. This webinar will explore how cloud AI systems can streamline machine learning and deep learning workflows, improve bias detection and transparency, and strengthen collaboration in biomedical AI research across institutions. Specific use cases in predictive modeling, graph neural networks, computer vision, and generative AI will be discussed.

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Speaker

Jamie Fairclough
Associate dean and professor, Dartmouth College