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The full agenda will be announced shortly. Previous speakers include:
Lecturer, Medical Image Computing
Imperial College London
Professor of Machine Learning & Computational Biology
University of Sheffield
NIHR Clinician Scientist
Moorfields Eye Hospital
Co-Founder & CEO
Moorfields Eye Hospital in London is nearly nine months into a collaboration with the deep learning specialists DeepMind and is aiming to have a working algorithm in production that can make diagnoses from eye scans by the end of the year.Read More
"To understand deep learning in the context of genetic disease, you need to understand shallow learning first. Shallow learning relates mutations to diseases by looking for mutations that commonly occur in patients with a disease. It’s a commonly used method", Brendan Frey, Deep Genomics.Read More
Insilico Medicine launched aging.AI, a system allowing users to guess their age and gender by entering the results of their blood test. The system is focused on gamification of consumer blood testing and attracting the attention of the general public to the importance of periodic blood tests.Read More
AI & machine learning techniques are helping to shift from reactive to proactive and predictive care. How can we use increased computer processing power and personalised healthcare to improve patient outcomes, and apply AI and deep learning to make real-time predictions and actionable interventions.
How can we apply intelligent algorithms to rich data sets to transform medicine & ensure more accessible & efficient healthcare? How can ML be applied for triggering clinical pathways, patient risk stratification & predicting outcomes? What are the ethical, fairness & accountability issues?
Explore machine learning frameworks, time-series analysis, deep learning and transfer learning methods. Learn the purpose of machine learning and the interpretation of predictive modeling results. Discover the digital future of healthcare and medicine and the key challenges to be considered.
Venue details to be announced.
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