Related Experiment Video
Updated: Feb 5, 2026

Live-Cell Imaging of the Life Cycle of Bacterial Predator Bdellovibrio bacteriovorus using Time-Lapse Fluorescence Microscopy
Published on: May 8, 2020
The Life Cycle and Management of Protocol Deviations
Munish Mehra1, Katharina Kurpanek2, Maryrose Petrizzo3
11 Quantum BioPharma, North Potomac, MD, USA.
Abstract:
Clinical trials are designed to evaluate the efficacy, safety, or other characteristics associated with medical products. Trials are usually complex and require a large group of professionals to follow a clinical trial protocol, standard operating procedures, and study-specific manuals, guidelines, and plans. Clinical trial protocols prospectively describe the background and rationale for conducting the trial, the objectives of the trial, the trial design, the equipment to be used, the procedures to be performed, and the statistical methods on how the trial data are to be analyzed. Deviations from the protocol can result in harm to subjects, biased or inaccurate results, and possible rejection of all or part of the trial data by the sponsor or regulatory authorities. Despite preventive efforts, protocol deviations are likely to occur in most trials. This position paper proposes a common definition of protocol deviations and recommends best practices for their detection, classification, and management as part of their life cycle, with a goal of reducing their impact on subject safety and data integrity. The information contained herein is drawn globally from industry experts within the DIA Good Clinical Practice and Quality Assurance community, an industry-wide survey, and presentations with discussions at various industry meetings.
Related Concept Videos
The Angiosperm Life Cycle
Retrovirus Life Cycles
Half-life of a Reaction
Characteristics of Life
Standard Deviation
Mean Absolute Deviation
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...

