Digital pathology and AI have the potential to improve accuracy, streamline workflows, and cut costs for both clinicians and pathologists. Both are evolving areas that are critical to advancing medicine to be able to improve access to information worldwide, and increase the speed of data interpretation, sharing and accuracy. The Digital Pathology and AI stream, part of the 11th Annual Next Generation Dx Summit, will explore this new shift to digital and data-driven methods for clinical care.

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Digital Pathology and AI Stream

Applications of Digital Pathology Conference

August 20-21, 2019 | Preparing for a Fully Digital Workflow - Detailed Agenda

The Inaugural Applications of Digital Pathology conference will review three main areas of implementation - in primary diagnosis in the U.S. and abroad, in telepathology and in combination with AI and machine learning tools. Digital pathology is vibrant with the influx of new technologies and the first FDA approved platform, and the variety of hardware solutions and software tools is an indication that creativity and investment is transforming the pathology landscape. Progress in this field will greatly improve the practice of medicine.

8:40 KEYNOTE PRESENTATION: Legal Aspects of Artificial Intelligence

Timothy Craig Allen, MD, JD, FCAP, Professor and Chair, Department of Pathology, The University of Mississippi Medical Center

11:00 KEYNOTE PRESENTATION: Rules of Engagement of Academia with Industry: Lessons for Digital Pathology Collaborations

Michael J. Becich, MD, PhD, Associate Vice-Chancellor for Informatics in the Health Sciences; Chairman and Distinguished University Professor, Department of Biomedical Informatics (DBMI), University of Pittsburgh School of Medicine 

Data-Driven Diagnostics Conference

August 21-22, 2019 | AI and Advanced Analytics for Clinical Care and Diagnostics - Detailed Agenda

The utilization of data for clinical care and diagnostics is not a new idea, however the sheer volume, velocity, veracity and variety of these data is unprecedented. Coupled with disruptive digital innovations, such as machine learning and artificial intelligence, we are now witnessing the digital revolution of the diagnostics world. Join us at Cambridge Healthtech Institute's Inaugural Data-Driven Diagnostics where we will discuss enabling technologies to leverage data to drive diagnostics and clinical care as well as market access decisions and solutions.

2:10 KEYNOTE PRESENTATION: Making Data Useable

Christoph Pedain, PhD, Executive Vice President, Point of Care Diagnostics, Siemens Healthineers

Nicholas Bourdakos, Software Developer, IBM Watson

MONDAY, AUGUST 19
MORNING, 9:00 am–12:00 pm

SC2: Discover How Machine Learning Can Complement Diagnoses through Medical Imagery - Detailed Agenda

Helen Lam, Software Developer, Developer Advocate, IBM Watson

In this hands-on session, learn how to train your own custom classifier using medical images to help augment your diagnoses. We will first cover the overview of available technologies for medical imagery in diagnosis, then will show examples by utilizing Watson Machine Learning and Tensorflow, an open source software library for high performance numerical computation to create a custom model.

AFTERNOON, 2:00–5:00 pm

SC4: Digital Pathology from A to Z for Beginners - Detailed Agenda

Matthew G. Hanna, MD, Clinical Instructor, Breast and Informatics, Department of Pathology, Memorial Sloan Kettering Cancer Center

Digital pathology is a disruptive technology in the laboratory workflow. It has tremendous potential to change the way pathologists, researchers, and other personnel interact with pathology data. It is an exciting era of potentially practice-changing technology. Although digital pathology comes with significant promise, there are still numerous obstacles that stand in the way of becoming the next standard of care. Aside from clinical practice, digital pathology can be leveraged in the research and education arms of the medical community. This course will cover the nuts and bolts for all related topics in digital pathology for those who are just wondering what all the hype is about, to those who want a little more depth in their understanding of what digital pathology can and will do in the medical community.

Wednesday, AUGUST 21
DINNER, 6:45–9:15 pm

SC7: Data-Driven Process Development in the Clinical Laboratory - Detailed Agenda

Robert Young, CGMBS, MS Bioinformatics, Owner, Principal Consultant, Lab Insights, LLC

The modern clinical laboratory utilizes complex, data-rich computer systems. In this course, you will learn how to leverage your laboratory information systems to build data-driven processes, create data-driven process improvements, and make data-driven business decisions.

Wednesday, August 21 and Thursday, August 22
Day 1: 2:05 pm–6:30 pm | Day 2: 8:30 Am–4:20 pm

TS7B: Introduction to Image Analysis and Deep Learning for Digital Pathology - Detailed Agenda

Instructor: Kate Lillard Tunstall, PhD, CSO, Indica Labs, Inc.

This training seminar will include both hands-on and lecture components designed to introduce basic digital pathology image analysis and deep learning concepts to histopathology and pathology professionals who have had limited previous exposure. In the first part of the seminar, we will cover digital pathology image analysis concepts, staining and imaging requirements, post-analysis data interpretation, typical applications and case studies. We will then take a shallow dive into deep learning in pathology and introduce you to some of the basic terminology, concepts and methods which are relevant to the pathologist’s workflow. Researchers currently using deep learning will discuss applications and clinical utility. The seminar will wrap up with a hands-on workshop (laptop required).

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