Senior Research Scientist
Philips Cambridge Innovation Labs
Senior Bioinformatics Data Scientist
Dana-Farber Cancer Institute
Senior Data Scientist
MGH & BWH Center for Clinical Data Science
Director of Data Science
New 3-D printing technique enables faster, better, and cheaper models of patient-specific medical data for research and diagnosis with a new technique that allows images from MRI, CT, and other medical scans to be converted easily and quickly into physical models with unprecedented detail.Read More
Soon, Boston-area radiologists will have AI “assistants” integrated into their daily workflows, helping them more quickly and accurately diagnose disease from MRIs, CAT scans, X-rays and more. The trained neural networks residing on DGX-1 systems in CCDS’s data center are in a constant state of learning, continually ingesting countless medical images worldwide.Read More
Accidental falls among people aged 65 years and older caused approximately 2,700,000 injuries, 27,000 deaths, and cost more than 34 billion dollars in the US annually in recent years. Here, we derive and validate a predictive model for falls based on a retrospective cohort of those 65 years and older.Read More
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.
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.
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.