Advance your skills and discover the impact of machine learning on healthcare in a half day training workshop with case studies and key insights
Join the conversation
#REWORKHEALTH
14 February 2018
An Introduction to Machine Learning in Healthcare
London
Training Workshop
Speakers
Confirmed speakers include:
New for 2022
- Deep Dive sessions to facilitate interactive discussions, practical workshops, & technical labs
- Event App to meet fellow attendees and personalize your schedule
- Multiple tracks to encourage cross-industry learnings & collaboration
- In-depth interviews with speakers available to watch again online
- Facilitated networking opportunities to make new connections
Topics we cover
Machine Learning
Personalised Medicine
Clinical Patient Care
Pattern Recognition
Image Retrieval
MedTech
Data Security
Ethics
Machine Learning
Personalised Medicine
Clinical Patient Care
Pattern Recognition
Image Retrieval
MedTech
Data Security
Ethics
Why Attend
Our events bring together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.
-
Healthcare 3.0
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.
-
Discover Emerging Trends & Best Practices
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?
-
Key takeaways
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.
-
Who Should Attend
- Data Scientists
- Data Engineers
- Healthcare Professionals
- Founders
- Investors
- CTOs
- Director of Engineering
-
Join the discussion
- 60 speakers
- 550+ leading technologists & innovators
- Group brainstorming sessions
- Interactive workshops
- 7 + hours of networking
- Access to all the filmed presentations
- Discover technology shaping the future
-
Downloads
View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.
Confirmed attendees include
Summary
Jeff Clune, Team Lead at OpenAI
Presentation
Dawn Song, Professor of Computer Science at UC Berkeley
Interview
Shalini Ghosh, Director of AI Research at Samsung Research
Media Partners & Press
As Featured In
