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REGISTRATION

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WELCOME

DEEP LEARNING IN HEALTHCARE: AN INTRODUCTION

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Amir Tahmasebi

Amir Tahmasebi - Senior Research Scientist - Philips Cambridge Innovation Labs

Machine Learning in Radiology

AI IN DRUG DISCOVERY & DEVELOPMENT

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Eric Milliman

Eric Milliman - Data Scientist - Berg Health

Using AI-Guided Analytics in Early Stage Clinical Trials

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Yusuf Roohani

Yusuf Roohani - Data Scientist - GlaxoSmithKline

Accelerating High Throughput Drug Discovery Using Deep Learning

PERSONALIZED MEDICINE AND PRECISION DIAGNOSIS

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Cory McLean

Cory McLean - Senior Software Engineer - Google Brain

DeepVariant: Highly Accurate Genomes With Deep Neural Networks

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COFFEE

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Jiayi Wu Cox

Jiayi Wu Cox - PhD Candidate - Boston University

Prediction of Opioid Cessation Using Machine Learning

E-HEALTH DATA

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Riccardo Miotto

Riccardo Miotto - Senior Data Scientist - Icahn School of Medicine

Deep Patient: Predict the Medical Future of Patients with Deep Learning and EHRs

NLP IN HEALTHCARE

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Chen Lin

Chen Lin - Biomedical Informatician - Boston Children's Hospital

Deep Learning-based Clinical Temporal Relation Extraction

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LUNCH

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Sadid Hasan

Sadid Hasan - Senior Scientist - Philips Research

Clinical Natural Language Processing with Deep Learning

PREDICTING PROGRESSION

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Łukasz Kidziński

Łukasz Kidziński - Researcher - Stanford University

Collecting Movement Data and Predicting Surgical Outcomes in the Age of Deep Learning

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David Ledbetter

David Ledbetter - Senior Data Scientist - Children’s Hospital Los Angeles

Predicting Individual Physiologically Acceptable States at Discharge from a Pediatric Intensive Care Unit

DEEP LEARNING IN MEDICAL IMAGING

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Juan Caicedo

Juan Caicedo - Post-Doctoral Researcher - Broad Institute

Image-based Morphological Profiling Using Deep Learning

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COFFEE

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Polina Golland

Polina Golland - Professor - MIT CSAIL

From Pixels to Clinical Insight

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Ahmed Hosny

Ahmed Hosny - Data Scientist - Dana-Farber Cancer Institute

Deep Learning Opportunities in Cancer Imaging

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PANEL: The Future Of Cancer Treatment with the Application of Deep Learning

Bill Lotter

Bill Lotter - CTO & Co-Founder - DeepHealth

MODERATOR

Tal Schuster

Tal Schuster - PhD Student - MIT CSAIL

PANELLIST

Liz Asai

Liz Asai - CEO - 3Derm

PANELLIST

Ahmed Hosny

Ahmed Hosny - Data Scientist - Dana-Farber Cancer Institute

PANELLIST

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Conversation & Drinks

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DOORS OPEN

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WELCOME

STARTUP SESSION

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Joe Isaacson

Joe Isaacson - VP of Engineering - Asimov

Programming Living Organisms Through Targeted Machine Learning

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Fernando Schwartz

Fernando Schwartz - Chief Data Scientist & Head of AI - Prognos

Building the Patient Tensor: The Total Is More Than the Sum of Its Parts

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Victor Chapela

Victor Chapela - Co-Founder & CEO - Suggestic

Lifestyle-Based Human Health and Well Being, from Knowledge Representation to Knowledge Generation

Ricardo Corral

Ricardo Corral - Chief Data Scientist - Suggestic

Lifestyle-Based Human Health and Well Being, from Knowledge Representation to Knowledge Generation

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Mayur Saxena

Mayur Saxena - Founder & CEO - Droice Labs

Deep Learning in the Health Record: Discovering Meaning in Clinical Text

Tasha Nagamine

Tasha Nagamine - Founder and Chief of AI - Droice Labs

Deep Learning in the Health Record: Discovering Meaning in Clinical Text

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COFFEE

APPLICATIONS OF DEEP LEARNING IN HEALTHCARE

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Mark Michalski

Mark Michalski - Executive Director - MGH & BWH Center for Clinical Data Science

Machine Learning in the Healthcare Enterprise

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Daniel Golden

Daniel Golden - Director of Machine Learning - Arterys

Lung Cancer Detection and Segmentation Using Deep Learning

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Tommy Blanchard

Tommy Blanchard - Data Science Lead - Fresenius Medical Care

Using Machine Learning to Improve Care of Chronically Ill Patients

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LUNCH

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David Richmond

David Richmond - Senior Data Scientist - IBM Watson Health

Developing Deep Learning-Based Solutions for Radiology

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Ayah Zirikly

Ayah Zirikly - Postdoctoral Fellow - National Institute of Health

Detecting Mobility Functions in Free Text as an Indicator of Disability

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Ayin Vala

Ayin Vala - Founder & Chief Data Scientist - Foundation for Precision Medicine

Early Detection of Alzheimer’s Disease with Deep Learning

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PANEL: How to Balance Ethics and Efficiency When Applying AI in Healthcare

Wen Dombrowski

Wen Dombrowski - Chief Convergence Officer - CATALAIZE

MODERATOR

Dekel Gelbman

Dekel Gelbman - CEO - FDNA

PANELLIST

Cansu Canca

Cansu Canca - Founder/Director - AI Ethics Lab

PANELLIST

Adrian Gropper

Adrian Gropper - CTO - Patient Privacy Rights

PANELLIST

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END OF SUMMIT

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Day 1

Distributed Tensorflow: Scaling Model Training to Multiple GPUs - WORKSHOP

Presentation and Real-Life Use-cases

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Day 1

The ROI of Deep Learning Application - Is it Worth it? - PANEL DISCUSSION

Panel Discussion with Leading Experts & Practitioners

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Day 2

From Academia to Industry - FIRESIDE CHAT

Fireside Chat and Q&A

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Day 2

The Future of Deep Learning in the Workplace - OPEN TABLE DISCUSSION

Open Round Table Discussion with Leading Experts

*Please note the agenda is subject to change

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