Discover the deep learning tools & techniques set to revolutionise healthcare applications, medicine & diagnostics.

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Speakers

Confirmed speakers listed below.

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Junshui Ma

Senior Principal Scientist

Merck

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Tuka Alhanai

PhD Candidate

MIT

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Marzyeh Ghassemi

PhD Candidate

MIT

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Mason Victors

Lead Data Scientist

Recursion Pharmaceutical

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Hossein Estiri

Research Fellow

Harvard Medical School

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Maksym Korablyov

Researcher

MIT

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Muyinatu Bell

Assistant Professor

John Hopkins University

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Saman Parvaneh

Senior Research Scientist

Philips Research

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Hunter Jackson

Co-Founder & CSO

Proscia

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Daniel Golden

Director of Machine Learning

Arterys

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Avanti Shrikumar

PhD Student

Stanford University

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Brian Goldman

Research Fellow

Vertex Pharmaceuticals

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Sergei Azernikov

Machine Learning Lead

Glidewell Laboratories

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Jose Dolz

Postdoctoral Researcher

LIVIA

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Avi Shoshan

Head of Data Science

Medial EarlySign

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Daniel Luci

Lead AI Researcher

Alexapath

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Michael Dahlweid

Chief Medical Officer, Digital

GE Healthcare

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Michael Dietz

Founder

Waya.AI

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Brian Todd

Data Scientist

WHOOP

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Anthony Chang

Chief Intelligence and Innovation Officer

CHOC Children’s Orange County

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Neil Tenenholtz

Senior Data Scientist

MGH & BWH Center for Clinical Data Science

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Vijetha Vemulapalli

Associate Director - Digital Health

Berg

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Mike McCormick

Principal

Comet Labs

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Michael Sierra

Vice President

LEO Science & Tech Hub

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Hyuk-Jeen Suh

Head

Samsung Ventures

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Gaurav Tuli

Data Scientist

Boston Children's Hospital

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Biswaroop (Dusty) Majumdar

VP & CMO

IBM Watson Health

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Nick Furlotte

Senior Scientist

23andMe

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Teddy Cha

CEO

PulseData

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Fabian Schmich

Data Scientist

Roche

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It’s a fact of nature that a single conversation can be interpreted in very different ways. For people with anxiety or conditions such as Asperger’s, this can make social situations extremely stressful. But what if there was a more objective way to measure and understand our interactions?

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Researchers at CSAIL believe that deep learning can underpin a new generation of predictive analytics and clinical decision support tools that will safeguard patients in the intensive care unit and improve how EHRs function for decision-making.

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As a doctoral candidate at Duke University, Bell developed and patented a novel signal processing technique that produces clearer ultrasound images in real time. The solution could particularly help diagnose problems in people who are obese, because fat tissue can scatter and distort ultrasound waves, delaying the detection of a serious disease.

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Arterys Cardio DLTM is the first technology to be cleared by the FDA that leverages cloud computing and deep learning in a clinical setting. It provides automated, editable ventricle segmentations based on conventional cardiac MRI images that are as accurate as segmentations performed manually by experienced physicians.

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Why Attend

Speakers

Extraordinary Speakers

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.

Tech

Discover Emerging Trends & Best Practices

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.

Network

Expand Your Network

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.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Healthcare Professionals
  • Founders
  • Investors
  • CTOs
  • Director of Engineering
Speechbubbles

Join the discussion

  • 40 speakers
  • 250+ leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
Document

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.

Topics we cover

Personalised Medicine
Personalised Medicine
NLP
NLP
AI Assistants
AI Assistants
Diagnostics
Diagnostics
Clinical Patient Care
Clinical Patient Care
MedTech
MedTech
Speech Recognition
Speech Recognition
Natural Language Understanding
Natural Language Understanding

Confirmed Attendees include

MIT
Google
harvard uni
Novartis
glidewell
Netrias
United Health Group
Foundation Medicine
John Hopkins University
Roche
GSK
philips

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