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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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IP3/DAG Signaling Pathway

Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and produces two-second...

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Updated: Jun 3, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Published on: July 11, 2025

[Artificial intelligence in molecular pathology : Introduction and overview].

Daniel Kazdal1, Jan Budczies1, Michael Menzel1

  • 1Pathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.

Pathologie (Heidelberg, Germany)
|June 2, 2026
PubMed
Summary

Pathology is rapidly transforming with technology and digitization. Artificial intelligence (AI) is now integral to molecular pathology, especially for next-generation sequencing data analysis.

Area of Science:

  • Pathology
  • Molecular Pathology
  • Bioinformatics
Keywords:
AI-assisted variant interpretationAgentic AIAutomated laboratory workflowsBioinformatic pipeline managementComputer-assisted decision making

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