Population Level Screening
Population Level Screening - Related Videos
10:54
Studying Proteolysis of Cyclin B at the Single Cell Level in Whole Cell Populations
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Cited by 2 •
2012
Metaphase to anaphase transition is triggered through anaphase-promoting complex (APC/C)-dependent ubiquitination and subsequent destruction of cyclin B. Here, we established a system which, following pulse-chase labeling, allows monitoring cyclin B proteolysis in entire cell populations and facilitates the detection of interference by the mitotic checkpoint.
14:47
Population Growth - Student Protocol
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2019
Exponential Population Growth Model ExpandNOTE: In these experiments you will use computer software to simulate different types of growth models. HYPOTHESES: The experimental hypothesis might be that if we increase either R, the reproductive rate or the initial population size, NT, that this will increase the population size after 10 generations in an exponential growth model compared to unmanipulated control populations. The null hypothesis may be that populations of different R and initial...
04:45
Population Growth - Concepts
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2019
Population Models An ecological population is a group of individuals of a single species living in an area at the same time. To persist, a population must either grow or maintain its size. Population ecology is the study of how population size and age distribution change over time through interactions with other species and the environment as well as with individuals of their own species. A particularly important feature that is studied by ecologists is the rate at which a population grows or...
08:10
Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System
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Cited by 8 •
2016
This work presents a method of high-throughput screening using a universal genetic enzyme screening system that can be theoretically applied to over 200 enzymes. Here, the single screening system identifies three different enzymes (lipase, cellulase, and alkaline phosphatase) by simply changing the substrate used (p-nitrophenyl acetate, p-nitrophenyl-β-D-cellobioside, and phenyl phosphate).
05:35
A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level
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Cited by 3 •
2024
An accurate hemoglobin estimation method is lacking at the point of care and may hinder population-based programs for treating anemia. Therefore, we developed a point-of-care method based on pooled capillary blood and an auto-analyzer integrated into a custom software application to categorize the hemoglobin values into different grades of anemia.
FAQs
Thresholds determine how test results are classified as positive or negative. A threshold selected to improve sensitivity may identify more people with possible disease or elevated risk, while specificity helps limit incorrect positive classifications. Because neither measure alone is sufficient, screening programs interpret threshold performance alongside confirmatory evaluation and the consequences of missed or incorrectly flagged findings.
The target population establishes who meets the selected screening criteria and makes results interpretable across a defined group. Appropriate selection helps align the test with the disease, biological trait, or health risk being assessed. If eligibility is poorly specified, the program may produce findings that are difficult to evaluate or use for intervention and resource planning.
False-positive results can send people for follow-up even when the initial finding does not indicate the condition, whereas false-negative results can fail to identify a disease, trait, or elevated risk. These outcomes shape the reliability and practical value of a program. Clear confirmation procedures and careful interpretation are therefore essential before acting on initial results.
A typical workflow begins by selecting a defined population and applying a standardized test or assessment to eligible participants. Results are then interpreted using established sensitivity and specificity thresholds. Positive findings should proceed through a clear referral pathway for follow-up evaluation, allowing the program to distinguish initial signals from findings that warrant further attention.
Screening can show patterns in disease burden, biological traits, or elevated health risk across a population, including findings that occur before symptoms appear. These patterns can support earlier intervention and help decision-makers allocate resources. The approach is most informative when testing, interpretation, confirmation, and referral are coordinated rather than treated as isolated activities.
Reliability depends on several connected elements: an appropriate target population, a dependable standardized test, interpretable thresholds, and an accessible pathway for confirming positive findings. Programs must also account for false-positive and false-negative results when evaluating outcomes. In biology, this structure allows population findings to inform health decisions without treating every initial result as conclusive.