AI for Medical Prognosis

Eddy Shyu is a prominent AI Product Manager at Cisco, with a notable background in curriculum development as the former Curriculum Product Manager at DeepLearning.AI. He has played a crucial role in creating approximately 40 online courses focused on artificial intelligence, which have reached over 2 million learners across platforms such as Coursera, DeepLearning.AI, Udacity, and Cisco Networking Academy. Eddy's expertise extends to designing educational content that simplifies complex AI concepts for diverse audiences, ensuring accessibility and engagement in learning. His work includes leading the creation of Andrew Ng’s Machine Learning Specialization, which has become a foundational resource for aspiring AI professionals. With a passion for education and innovation, Eddy continues to shape the future of AI learning and product management, empowering individuals to leverage artificial intelligence effectively in their careers.

Pranav Rajpurkar is an Instructor at DeepLearning.AI and a leading researcher in the field of AI for Medicine. He is currently a faculty member at Harvard University in the Department of Biomedical Informatics, where his research focuses on leveraging artificial intelligence (AI) and machine learning to address key challenges in clinical medicine. By developing novel algorithms and datasets, Pranav aims to drive AI technologies that can assist in medical decision-making, improving outcomes and transforming the healthcare landscape.Pranav is widely recognized for his contribution to the intersection of AI and healthcare. He is the co-host of the AI Health Podcast and co-editor of the Doctor Penguin AI Health Newsletter, where he discusses the latest trends and advancements in AI applications in medicine. His expertise has made him a sought-after educator, and he has played a pivotal role in instructing the Coursera course series on AI for Medicine. He also founded the AI for Healthcare Bootcamp Program, helping to train professionals in the rapidly growing field of AI in healthcare.

Bora Uyumazturk is a Curriculum Developer at DeepLearning.AI, where he plays a pivotal role in the creation and development of educational content focused on artificial intelligence (AI) and its applications in healthcare. With his expertise in machine learning and AI, Bora is dedicated to designing comprehensive and effective learning experiences that enable students to apply AI techniques to critical problems in medicine.At DeepLearning.AI, Bora contributes to the development of courses that focus on the transformative potential of AI in healthcare, particularly in the fields of medical diagnosis, treatment, and prognosis. His work includes curating curricula that cover the use of AI models in clinical settings, teaching students how to leverage AI technologies to improve patient care and healthcare efficiency.