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Ivan Tarapov

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Ivan Tarapov

3

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Senior Director, Multimodal Healthcare AI Microsoft

Ivan Tarapov is a seasoned leader in healthcare artificial intelligence, currently serving as the Senior Director of Multimodal Healthcare AI at Microsoft. With a robust background in software architecture, mission-critical medical device technology, and consulting, he has been instrumental in developing and deploying cutting-edge AI solutions tailored for the medical imaging sector. Under his leadership, Microsoft has introduced foundational AI models designed to enhance various healthcare applications, including diagnostic imaging, report generation, and image segmentation. These models are integrated into Azure AI Studio, facilitating seamless, code-free deployment for healthcare professionals and researchers.

Bio from: Microsoft Ignite 2025

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Take a motivational tour through the healthcare AI sample repository and set yourself up for success with multimodal AI for Health & Life Sciences. Dive into notebooks and sample solutions for problems like image search, cancer grading based on radiology and pathology images, outlier detection, and exam parameter classification. Deploy a model, plug it into an agentic flow, and evaluate it with human feedback. A hands-on journey from setup to deployment and refinement.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Take a motivational tour through the healthcare AI sample repository and set yourself up for success with multimodal AI for Health & Life Sciences. Dive into notebooks and sample solutions for problems like image search, cancer grading based on radiology and pathology images, outlier detection, and exam parameter classification. Deploy a model, plug it into an agentic flow, and evaluate it with human feedback. A hands-on journey from setup to deployment and refinement.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Take a motivational tour through the healthcare AI sample repository and set yourself up for success with multimodal AI for Health & Life Sciences. Dive into notebooks and sample solutions for problems like image search, cancer grading based on radiology and pathology images, outlier detection, and exam parameter classification. Deploy a model, plug it into an agentic flow, and evaluate it with human feedback. A hands-on journey from setup to deployment and refinement.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.