25-26 November 2019
Kimpton De Witt,
Analysing Bioassays and Immunoassays
Learn the essential computational processes necessary to analyse data from bioassays and immunoassays on this 2-day course
This 2-day course will cover basic statistical processes necessary for analysis of the data from bioassays, setting up meaningful system suitability acceptance criteria and designing validation plans. Important considerations will be examined such as choosing the appropriate non-linear or linear regression fit, calculating correct residual weights, computing practical limits of sensitivity and acceptable error, and measuring non-parallelism and potency.
What will you learn?
Analyse biological samples
Set up smart and robust immuno- and bio-assays to analyse any biological sample for potency, concentration and immunogenicity
Validate bioassays to meet regulatory requirements
Generate realistic potency assay criteria that meet regulatory requirements
Understand current discussions in bioanalytical community on assay parameters and regulatory
Analyse and troubleshoot biological assays comprehensively
Who is this course for?
This course is designed for all individuals who develop, validate, perform or monitor bioassays or immunoassays. Individuals who develop assay methodologies, assign computational and analysis criteria, measure and validate performance characteristics, evaluate and troubleshoot problem assays, or who are responsible for the quality of the data will benefit from the lessons and examples presented.
Attendees should have a basic understanding of bioassays or immunoassays.