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AI in Medicine

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MedTech UCL AI in Medicine Series Entrepreneurship Panel with Emilia Molimpakis (Thymia), Krishan Ramdoo (TympaHealth) and Elin Haf Davies (aparito)

MedTech UCL AI in Medicine Series Entrepreneurship Panel with Emilia Molimpakis (Thymia), Krishan Ramdoo (TympaHealth) and Elin Haf Davies (aparito)

Prof. Neil Sebire (GOSH DRIVE): Moving advanced analytics and AI into clinical practice principles and barriers

Prof. Neil Sebire (GOSH DRIVE): Moving advanced analytics and AI into clinical practice principles and barriers

Andreas Cleve (Corti) – ‘Using Corti’s AI to save lives during emergency calls’

Andreas Cleve (Corti) – ‘Using Corti’s AI to save lives during emergency calls’

Dr. Thomas Matthew Ward (Harvard University): Applications of AI & Computer Vision in Laparoscopic and Endoscopic Surgery

Dr. Thomas Matthew Ward (Harvard University): Applications of AI & Computer Vision in Laparoscopic and Endoscopic Surgery

Tom Dyer (behold.ai): Building Healthcare AI for the Real World

Tom Dyer (behold.ai): Building Healthcare AI for the Real World

Dr. Ben Kemp (LabGenius): Drug Discovery using Synthetic Biology, Robotics and Machine Learning

Dr. Ben Kemp (LabGenius): Drug Discovery using Synthetic Biology, Robotics and Machine Learning

Dr Eric Topol: Deep Medicine: How Artificial Intelligence can Make Healthcare Human Again

Dr Eric Topol: Deep Medicine: How Artificial Intelligence can Make Healthcare Human Again

Vivek Natarajan (Google AI): Challenges of deploying medical imaging AI at scale

Vivek Natarajan (Google AI): Challenges of deploying medical imaging AI at scale

Manolis Kellis (MIT): From genomics to therapeutics: Single-cell dissection of human disease circuitry

Manolis Kellis (MIT): From genomics to therapeutics: Single-cell dissection of human disease circuitry

Dr. Pearse Keane (GOSH DRIVE): Transforming healthcare with Artificial Intelligence – Lessons from Ophthalmology

Dr. Pearse Keane (GOSH DRIVE): Transforming healthcare with Artificial Intelligence – Lessons from Ophthalmology

Siddartha Chaturvedi (Microsoft) – Predicting Epidemics with Mosquitos and Robots

Siddartha Chaturvedi (Microsoft) – Predicting Epidemics with Mosquitos and Robots

Prof. Mihaela van der Schaar: Why medicine is creating exciting new frontiers for machine learning

Prof. Mihaela van der Schaar: Why medicine is creating exciting new frontiers for machine learning

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