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Related Concept Videos

Amplifying Signals via Second Messengers01:15

Amplifying Signals via Second Messengers

Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...
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Design Example

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Signal and System

A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional signals...
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Related Experiment Video

Updated: Jul 25, 2026

Quasi-light Storage for Optical Data Packets
07:45

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Published on: February 6, 2014

Signal generation and clarification: use of case-control data.

D W Kaufman1, L Rosenberg, A A Mitchell

  • 1Slone Epidemiology Unit, Boston University School of Medicine, 1371 Beacon Street, Brookline, MA 02446, USA. david@slone.bu.edu

Pharmacoepidemiology and Drug Safety
|August 15, 2001
PubMed
Summary

Case-control surveillance systems effectively identify potential adverse drug effects. These systems provide detailed data for in-depth analysis, reducing false alarms in drug safety monitoring.

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Area of Science:

  • Pharmacovigilance
  • Epidemiology
  • Drug Safety

Background:

  • Established case-control surveillance systems have monitored drug effects since 1976.
  • These systems collect extensive data on diagnoses and covariates.

Purpose of the Study:

  • To highlight the utility of case-control surveillance systems for generating signals of potential adverse drug events.
  • To emphasize the capacity of these systems for in-depth analysis and confounding control.

Main Methods:

  • Utilizing established case-control surveillance systems, including the Slone Epidemiology Unit's Case-Control Surveillance and the Birth Defects Study.
  • Leveraging extensive data on patient diagnoses and covariates for detailed analysis.

Main Results:

  • Case-control surveillance systems are effective in 'signal' generation for previously unidentified adverse drug effects.
  • In-depth analyses with specifically defined outcomes and controlled confounding reduce the likelihood of false alarms.

Conclusions:

  • Case-control surveillance systems are valuable tools for early detection of adverse drug reactions.
  • The detailed data and analytical capabilities of these systems enhance the reliability of drug safety signals.