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Related Concept Videos

Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Types of Errors: Detection and Minimization01:12

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
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Updated: Jan 14, 2026

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
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From screening to subtyping in a single glance.

Sarthak Pati1

  • 1Medical AI Working Group, MLCommons, San Francisco, CA, USA.

Patterns (New York, N.Y.)
|October 27, 2025
PubMed
Summary

A new deep learning framework called screening-to-subtyping (S2S) improves the diagnosis of fine-grained diseases from radiological images. The S2S-Med system achieved superior accuracy, outperforming existing benchmarks and enhancing physician performance.

Area of Science:

  • Artificial Intelligence
  • Medical Imaging
  • Oncology

Background:

  • Fragmented AI tools hinder accurate diagnosis of fine-grained diseases in radiological images.
  • Current AI systems lack integration across the entire diagnostic workflow.

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