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

Speakers

Confirmed speakers include:

Original
Nophar Geifman

Lecturer

University of Manchester

Original
Maria Chatzou

CEO

Lifebit

Original
Andreas Theodorou

Teaching Fellow

University of Bath

Original
David Clifton

Associate Professor of Engineering Science

University of Oxford

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Why Attend

Speakers

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.

Tech

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?

Network

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.

Topics we cover

Machine Learning
Machine Learning
Personalised Medicine
Personalised Medicine
Clinical Patient Care
Clinical Patient Care
Pattern Recognition
Pattern Recognition
Image Retrieval
Image Retrieval
MedTech
MedTech
Data Security
Data Security
Ethics
Ethics

Confirmed attendees include

Imperial
VIAS Institute
PARI
WellVine
Federal Hearings and Appeals Services
Bournemouth University
Uni of Camb
Kings college london
Tunstall Nordic AB
Optum Labs