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Strategic Data Lead
The Institute of Cancer Research
Director, Center for Systems and Therapeutics and the Taube/Koret Center for Neurodegenerative disease
Associate Professor of Engineering Science
University of Oxford
Lecturer, Medical Image Computing
Imperial College London
Anaesthetic and Critical Care Doctor, Machine Learning Researcher
Google Fit is an open platform that lets users control their fitness data, developers build smarter apps, and manufacturers focus on creating amazing devices.Read More
Ahmed and fellow scientists at Philips designed a multi-level deep learning algorithm for the estimation of tumor content and cellularity of prostate cancer using fully convolutional neural networks. The approach provides accurate and consistent results, and is applicable across the whole range of computational pathology problems.Read More
Scientists have developed a new test that can pick out women at high risk of relapsing from breast cancer within 10 years of diagnosis. Their study looked for immune cell ‘hotspots’ in and around tumours, and found that women who had a high number of hotspots were more likely to relapse than those with lower numbers. The new test could help more accurately assess the risk of cancer returning.Read More
AI technology that is capable of analysing and interpreting medical scans with super-human performance will be the focus of ERC funded research carried out by Dr Ben Glocker, from the Department of Computing. Dr Glocker and his team aim to develop AI technology based on machine learning that can sift through the mountain of data to provide detailed insights into complex diseases.Read More
Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the healthcare sector. Learn from the experts in speech & text recognition, neural networks, image classification and machine learning.
The summit will showcase the opportunities of advancing methods in deep learning and their impact across healthcare & medicine. Discover the deep learning tools & techniques set to revolutionise healthcare applications, medicine & diagnostics from a global line-up of experts.
A unique opportunity to interact with industry leaders, data scientists, founders, CTOs and healthcare professionals leading the deep learning revolution. Learn from & connect with 200+ innovators sharing best practices to advance the deep learning in healthcare revolution.