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ABOUT THE TALK

Revolutionising Patient Care Artificial Intelligence (AI) has emerged as a transformative force in healthcare, revolutionising the way medical professionals diagnose, treat, and manage diseases. With a focus on addressing long-tailed problems, integrating multimodal data, advancing medical image segmentation, and deploying Language Model-based Systems (LLMs), the talk will address how AI is reshaping the landscape of healthcare delivery and patient outcomes.

Dr Kshitij Jadhav

ABOUT THE SPEAKER

Dr Kshitij Jadhav (MD, PhD) is an Assistant Professor at the Koita Centre for Digital Health and a neuroscientist with a strong focus on bringing practical ML solutions to Indian healthcare. His academic journey includes earning an MBBS and MD in Pharmacology from Mumbai's prestigious medical schools, followed by a PhD in Neuroscience from the University of Lausanne, Switzerland, and a postdoctoral fellowship at the University of Cambridge, UK, specialising in Neuroscience.

Dr Kshitij's current research interests revolve around bringing practical implementations of AIML solutions to Indian healthcare. As a bridge between clinicians and data scientists/engineers at the KCDH (Koita Center for Digital Health) with diverse skill sets, he plays a pivotal role in addressing healthcare problems through interdisciplinary collaboration. Leveraging his clinical background and expertise in neuroscience, he contributes to finding data analytics and machine learning (ML) solutions to pertinent healthcare questions in India.

Dr Kshitij's multifaceted expertise and dedication to bridging the gap between clinical practice and data-driven research position him as a key figure in advancing and addressing healthcare challenges through innovative approaches. His focus areas include solving long tailed problems in healthcare, developing novel solutions for high dimensional data integration, and facilitating multimodal data integration in healthcare, to name a few.

CLICK TO ATTEND

Passcode: 12345

The talk is mandatory for the students of DATA202 and DATA203.

All are welcome!

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