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Cambridge Healthtech Institute Press releases

61 - 70 of 276 Press Releases

Jan 08, 2014
See who will be unveiling a new product or service on the exhibit hall floor of CHI's 13th Annual PepTalk: The Protein Science Week (January 13-17, 2014 in Palm Springs, CA)

Dec 31, 2013
700+ Industry executives will gather for solutions on various aspects of clinical trial planning and management at 11 conferences, 7 short courses, breakout discussion groups, networking functions, while also viewing an expansive exhibit hall.

Sep 25, 2013
New programs focused on “Antibody Optimization and Development” and “Manufacturing and Facilities” added to PepTalk 2014

Sep 23, 2013
Exclusive interviews with Drs. John March, Cornell University; Karen J.L. Burg, Clemson University; and Jonathan Garlick, Tufts University, Presenters at CHI’s Engineering Functional 3-D Tissue Models Conference.

Sep 10, 2013
CHI's event takes place on October 28-30, 2013 in Cambridge, MA. We are accepting scientific posters from industry & academic researchers on improving the screening success of drugs using 3-D models & phenotypic screening.

Aug 27, 2013
The industry’s preeminent event on novel drug targets unites 700+ scientists and technologists for key discussions and connections. The event includes 40+ exhibitors, peer posters and keynote presentations by Stuart Schreiber and Paul Feldman.

Aug 22, 2013
Jack Ragheb, Ph.D., Principal Investigator, Therapeutic Proteins, FDA/CDER to moderate a roundtable discussion at CHI’s Immunogenicity Summit 2013 this coming November at the Hyatt Regency on Capitol Hill in Washington, DC.

Aug 21, 2013
Dr. Lathey sits down with conference producer Samantha Lewis to discuss the biggest challenges to managing bioassay variability, tools and strategies that researchers are using to combat it, and how procedural variation can have unwanted effects.

Aug 05, 2013
Complimentary case study download by Deborah Finco, Ph.D., Senior Principal Scientist, Drug Safety R&D, Pfizer, Inc.

Jul 17, 2013
Drug R&D Scientists Gather to Discuss Complex Cellular Models Predictive of Human Response to Improve Early Decision Making

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