TS5: Introduction to Image Analysis and Deep Learning for Digital Pathology
Room Location: Union Square 22

Instructors:

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

Doug Bowman, Director of Pharma Services, Indica Labs, Inc.

Timothy Baradet, PhD, HTL/QIHC (ASCP), Senior Research Investigator, Bristol-Myers Squibb

Daniel Sutton, Senior Scientist, Pathology Sciences, AstraZeneca

About this Training Seminar:

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).

Topics to be Covered:

• Introduction to traditional image analysis and image management
• AI and deep learning for image analysis and computational pathology- how it works
• Input requirements for AI and how it differs from traditional image analysis
• Real expertise in image analysis in digital pathology- demonstrations of use
• Use cases for AI in molecular diagnostics
• Introduction to software and different types of networks available and how they work
• Overview of tools available for image analysis
• Hands-on assignment

About the Instructors:

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

Kate Lillard received her PhD in Molecular Genetics and Biochemistry from the University of Cincinnati Medical Center, followed by a Howard Hughes postdoctoral fellowship at the University of Texas Southwestern Medical Center. While conducting research in the area of stem cell biology and oncology as a graduate and postdoctoral fellow, Dr. Lillard developed a keen interest in IHC and image analysis. Following this, she joined Aperio in 2007 where she supported and then managed image analysis products for digital pathology. After acquisition of Aperio by Leica in late 2012, Dr. Lillard joined Indica Labs as CSO where she supports, promotes, and helps guide the development of digital pathology image analysis and artificial intelligence solutions for the life sciences.

Doug Bowman, Director of Pharma Services, Indica Labs, Inc.

Douglas Bowman is the Vice President, Pharma Services at Indica Labs, Inc. Mr. Bowman plays an important role as the company develops its image analysis and biomarker assay services business to support preclinical and clinical biomarker assays for Indica Lab’s academic, biotech, and pharma customers. Doug was previously at Takeda Pharmaceuticals for 11 years where he was responsible for developing quantitative biomarker assays to support the Oncology Discovery and Translational Research groups. He was a key contributor to the development of a high throughput, automated, IHC biomarker laboratory that integrated a sample management system, digital slide scanners, and quantitative image analysis into the research workflow.

Timothy Baradet, PhD, HTL/QIHC (ASCP), Senior Research Investigator, Bristol-Myers Squibb

Tim received his Doctorate in Molecular Pathobiology from Drexel University College of Medicine, where he investigated mechanisms of amyloid deposition in Cerebrovascular Amyloid Angiopathy. He subsequently worked at the University of Pennsylvania where he managed combined histology and imaging core laboratories in the departments of Ophthalmology, Orthopedic Surgery, Gene Therapy, and Pathology as well as the first Digital Pathology Lab, utilizing whole-slide scans, highly multiplexed IHC and multi-spectral image analysis in support of the Pathology Test Development Center & Tumor Biospecimen Bank. Tim subsequently joined PathXL (now part of Philips Digital Pathology) as an Application Scientist, supporting image analysis & Digital Pathology workflow applications. He is currently a Senior Research Investigator at Bristol-Myers Squibb in the Translational Bioinformatics Group, providing Digital Pathology support for Discovery, Clinical Biomarkers and Patient Stratification. In addition to his position at BMS, Tim serves as Adjunct Professor in the Masters of Histotechnology Program at Drexel University and holds ASCP Clinical certifications in Histology and Immunohistochemistry. He frequently lectures and presents workshops on immunohistochemistry and digital pathology. He recently was a contributor to the Digital Pathology Webinar jointly produced by the Digital Pathology Association and National Society for Histology.

Daniel Sutton, Senior Scientist, Pathology Sciences, AstraZeneca

Daniel is a senior scientist in the Pathology Sciences group which is contained within the Drug Safety and Metabolism department at AstraZeneca UK. The group is focused on small scale toxicology studies and interacts with early stage research when pathology support is required. Daniel joined AstraZeneca in 2015. He started his career in the NHS as a biomedical scientist in pathology before moving into the pharmaceutical industry as a research scientist at UCB and later at Novartis. Since then, he has worked within a range of companies from start-ups to multinationals in positions focused on pathology. During his career, Daniel has had the opportunity to work with a wide range of image analysis and artificial intelligence platforms for digital pathology, including solutions from Definiens, Aperio, Visiopharm and Indica Labs.

Each CHI Training Seminar offers 1.5 Days of instruction with start and stop times for each day shown above and on the Event-at-a-Glance published in the onsite Program & Event Guide. Training Seminars will include morning and afternoon refreshment breaks, as applicable, and lunch will be provided to all registered attendees on the full day of the class.

Each person registered specifically for the training seminar will be provided with a hard copy handbook for the seminar in which they are registered. A limited number of additional handbooks will be available for other delegates who wish to attend the seminar, but after these have been distributed no additional books will be available.

Though CHI encourages track hopping between conference programs, we ask that Training Seminars not be disturbed once they have begun. In the interest of maintaining the highest quality learning environment for Training Seminar attendees, and because Seminars are conducted differently than conference programming, we ask that attendees commit to attending the entire program, and NOT engaging in track hopping, as to not disturb the hands-on style instruction being offered to the other participants.