March 14-15, 2019 | Hilton San Francisco Union Square

Cambridge Healthtech Institute is pleased to incorporate the addition of our skill-based Training Seminars to the Molecular Medicine Tri-Conference. Training Seminars offer in-depth training and instruction on a specific subject area that isn’t covered at this level during the main program, symposia or pre-conference short courses. The topics of the Training Seminars include science-focused, business-focused, and personal development.

Our Training Seminars offer real-life case studies, problems encountered and solutions applied, and extensive coverage of the basic science and business issues underlying each topic. Experienced Training Seminar instructors offer a mix of formal lectures, interactive discussions and activities to help attendees maximize their learning experiences. These immersive trainings will be of value to scientists and business professionals from industry and academic research groups who are new to the life sciences field and want to advance, entering new areas of life science and not sure of a career path, or honing knowledge or skill on a certain subject to excel in a supporting role.

 

TS4: Introduction to Liquid Biopsy for Cancer Detailed Agenda

Stuart S. Martin, PhD, Professor, Physiology, Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine

This 1.5-day lecture-based interactive seminar will provide an introduction to the biology and science of liquid biopsies for improving cancer detection and treatment. It will provide an in-depth look into the clinical application, utility and validation of liquid biopsy assays with a focus on how to choose the right assay for your goals. It will present a variety of liquid biopsy techniques and go into the pros and cons of each. Overall, this seminar will provide attendees with a comprehensive tool-kit to overcome their liquid biopsy challenges.
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TS5: Introduction to Image Analysis and Deep Learning for Digital Pathology - Detailed Agenda

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

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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What is a Training Seminar?
Each 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 and symposia 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.


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March 26-27, 2024

AI in Precision Medicine

Implementing Precision Medicine

At-Home & Point-of-Care Diagnostics

Liquid Biopsy

Spatial Biology

March 27-28, 2024

AI in Diagnostics

Diagnostics Market Access

Infectious Disease Diagnostics

Multi-Cancer Early Detection

Single-Cell Multiomics