THIS SUMMIT IS CO-LOCATED WITH the Deep Learning SUMMIT

Discover the Deep Learning methods & tools set to revolutionize healthcare, medicine & diagnostics, as well as industry applications and key insights

Join the conversation #REWORKHEALTH

Confirmed Speakers

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Matthew Sutton

Advisor

Harvard Ventures

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Hyuk-Jeen Suh

Head

Samsung Ventures

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Riccardo Miotto

Senior Data Scientist

Icahn School of Medicine

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Fernando Schwartz

Chief Data Scientist & Head of AI

Prognos

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Ricardo Corral

Chief Data Scientist

Suggestic

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Victor Chapela

Co-Founder & CEO

Suggestic

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Liz Asai

CEO

3Derm

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Adrian Gropper

CTO

Patient Privacy Rights Foundation

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Tal Schuster

PhD Student

MIT CSAIL

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Bill Lotter

CTO & Co-Founder

DeepHealth

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Jiayi Wu Cox

PhD Candidate

Boston University

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Cansu Canca

Founder/Director

AI Ethics Lab

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Amir Tahmasebi

Senior Research Scientist

Philips Cambridge Innovation Labs

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Zac Kriegman

Senior Data Scientist

Thomson Reuters Innovation Lab

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Dekel Gelbman

CEO

FDNA

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Tasha Nagamine

Founder and Chief of AI

Droice Labs

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Mayur Saxena

Founder & CEO

Droice Labs

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Ayah Zirikly

Postdoctoral Fellow

National Institute of Health

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Neil Tenenholtz

Senior Data Scientist

MGH & BWH Center for Clinical Data Science

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Rachita Chandra

Solutions Architect

IBM Watson Health

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Wen Dombrowski

Chief Convergence Officer

CATALAIZE

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David Richmond

Senior Data Scientist

IBM Watson Health

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Eric Milliman

Data Scientist

Berg Health

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Yusuf Roohani

Data Scientist

GlaxoSmithKline

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David Ledbetter

Senior Data Scientist

Children’s Hospital Los Angeles

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Daniel Golden

Director of Machine Learning

Arterys

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Mark Homer

Director of Data Science

Aetna

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Joe Isaacson

VP of Engineering

Asimov

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Tommy Blanchard

Data Science Lead

Fresenius Medical Care

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Chen Lin

Biomedical Informatician

Boston Children's Hospital

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Polina Golland

Professor

MIT CSAIL

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Juan Caicedo

Post-Doctoral Researcher

Broad Institute

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Ahmed Hosny

Data Scientist

Dana-Farber Cancer Institute

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Łukasz Kidziński

Researcher

Stanford University

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Mark Michalski

Executive Director

MGH & BWH Center for Clinical Data Science

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Cory McLean

Senior Software Engineer

Google Brain

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Sadid Hasan

Senior Scientist

Philips Research

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Ayin Vala

Founder & Chief Data Scientist

Foundation of Precision Medicine

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At Children’s Hospital Los Angeles, data scientists Melissa Aczon and David Ledbetter have come up with an AI system that could give doctors a better—and earlier—sense of which kids are likely to get worse by training an AI system to make an unambiguous prediction.

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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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Asimov is developing a platform for professional genetic circuit design which strives to be the go-to resource for designing biological computation as biotechnology steadily becomes a fully-fledged engineering discipline with the hope that this technology one day improves our ability to cure disease and helps nourish a growing global population.

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People who suffer a stroke often undergo a brain scan at the hospital and researchers who study the effects of strokes would love to be able to analyze these images, but the resolution is often too low for many analyses. Polina Golland &MIT Researchers have devised a way to boost the quality of these scans so they can be used for large-scale studies.

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Better models of the bone, muscles and nerves that control our bodies could help doctors manage movement disorders like cerebral palsy. A new competition is crowdsourcing the search for those tools. Łukasz Kidziński dreamed up the contest as a way to better understand how people with cerebral palsy will respond to muscle-relaxing surgery.

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Deep learning includes algorithms, or computer programs, that search for, identify and analyze problems without direction from people, though many humans still guide the algorithms today. Dr. Michalski has used hundreds of thousands of medical images to train a deep-learning system to detect pulmonary nodules and strokes, measure tumors and look for traumatic injury.

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Google released a tool called DeepVariant that uses deep learning to identify all the mutations that an individual inherits from their parents. Engineers at Google Brain and Verily (Alphabet’s life sciences spin-off) have taught one model to take raw sequencing data and line up the billions of As, Ts, Cs, and Gs that make you you.

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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 revolutionize 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

Speech Recognition
Speech Recognition
Personalised Medicine
Personalised Medicine
Diagnostics
Diagnostics
Clinical Patient Care
Clinical Patient Care
Robotics
Robotics
NLP
NLP
eHealth Records
eHealth Records
Medical Imaging
Medical Imaging

Confirmed attendees include

GE Healthcare
Accenture
ibm watson health
23andMe
Baxter Healthcare
BioSymetrics
deloitte
Federal Hearings and Appeals Services
Brigham Womens Hospital
Merck
Minds.AI
Medical Council Canada

Register

For general event enquiries, for information on not-for-profit or government rates, or to pay via invoice please contact the Customer Relationship Manager John McNicholas via john@re-work.co

Confirmed exhibitors include:

Media Partners & Press

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