Training-Seminars

Cambridge Healthtech Institute Training Seminars offer real-life case studies, problems encountered and solutions applied, along with extensive coverage of the academic theory and background. Each Training Seminar offers a mix of formal lecture and interactive discussions and activities to maximize the learning experience. These Training Seminars are led by experienced instructors who will focus on content applicable to your current research and provide important guidance for those new to their fields.

World Pharma Week 2019 Training Seminars

Tuesday, 8:00 am-4:00 pm | Wednesday, 8:00 am-12:00 pm

TS11A: Introductory Immunology for Cancer and Autoimmune Drug Discovery - Detailed Agenda

Instructors:

Tim Bauler, PhD, Assistant Professor, Department of Biomedical Sciences, Western Michigan University, Homer Stryker M.D. School of Medicine

Tom Sundberg, PhD, Group Leader, Cellular Pharmacology, Broad Institute of MIT and Harvard

This 1.5-day training seminar will provide an introduction to human immunology for discovery pharmacologists, biologists and chemists working in the biopharmaceutical industry on inflammation, autoimmune, or immune-oncology programs. This training seminar will focus on how the immune system is organized and gives rise to both normal and pathogenic immune responses. This overview will also serve as a basis for discussions of how the immune system can be modulated through biopharmaceutical intervention to either suppress pathogenic inflammation or enhance anti-tumor immunity.

TS12A: Statistical Thinking for the Preclinical Researcher - Detailed Agenda

Instructor:

Perceval Sondag, Senior Manager, Statistics, PharmaLex

A number of recent publications have highlighted the challenges of reproducibility in science, including opportunities for increasing the effectiveness of preclinical development studies by leveraging statistical concepts and practices. In this seminar, participants will learn a variety of statistical analysis methods relevant to preclinical development, emphasizing the use of statistical thinking and understanding variability to explore and make inferences from data. The benefits of statistically designed experiments will be clear, and several critical study design elements will be described, including: power and sample size, some useful study designs, randomization, standardizing measurements, maximizing the information from an experiment, and sound techniques for analysis. The complexities and solutions for small data sets will also be discussed. Participants will learn from a combination of lecture, case studies, and practicing the application of concepts with realistic examples.

Wednesday, 2:30-5:30 pm | Thursday, 8:00 am-4:00 pm

TS11B: Introduction to Small Molecule Drug Discovery and Development - Detailed Agenda

Instructor:

H. James Harwood Jr., PhD, Founder and CEO, Delphi BioMedical Consultants, LLC

This 1.5-day lecture-based interactive seminar focuses on strategies for identifying drug discovery targets, discovering and characterizing small molecule hits, and developing structure-activity relationships to advance hits through lead optimization, preclinical development, and clinical evaluation. Participants will learn the stages and processes required to advance programs from idea to clinic, through examples and case studies. This seminar is intended for scientists in either academia or industry who would like to become more familiar with small molecule drug discovery and development.

TS12B: Practical Introduction to PKPD Modeling in Drug Discovery and Development: Better, Faster, Cheaper - Detailed Agenda

Instructors:

Arijit Chakravarty, CEO, Fractal Therapeutics

Ryan Nolan, PhD, Research Fellow, Takeda Pharmaceuticals International Co.

Model-based drug development (MBDD) has evolved into a set of practical techniques that dramatically reduce pharma R&D costs without sacrificing quality. Pharmacokinetic/Pharmacodynamic (PKPD) modeling lies at the heart of MBDD. Part 1 of the seminar will teach the concepts of MBDD and its application in drug R&D. Part 2 will provide an in-depth introduction to key concepts in PKPD modeling, and teach hands-on implementation of PKPD modeling on real and simulated datasets.


Training Seminar Information

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 engage in track hopping, as to not disturb the hands-on style instruction being offered to the other participants.


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