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Related Concept Videos

Crossover Experiments01:16

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Crossing Over01:30

Crossing Over

Crossing over is the exchange of genetic information between homologous chromosomes during prophase I of meiosis I. Genetic recombination gives rise to allelic diversity in the newly formed daughter cells. In humans, crossing over produces genetically distinct haploid egg and sperm cells that undergo fertilization to produce unique offspring. Before cell division starts, the germ cell’s chromosome(s) undergo duplication in the S phase of the cell cycle. As the cells enter prophase I, duplicated...
Crossing Over01:34

Crossing Over

Unlike mitosis, meiosis aims for genetic diversity in its creation of haploid gametes. Dividing germ cells first begin this process in prophase I, where each chromosome—replicated in S phase—is now composed of two sister chromatids (identical copies) joined centrally.
The homologous pairs of sister chromosomes—one from the maternal and one from the paternal genome—then begin to align alongside each other lengthwise, matching corresponding DNA positions in a process called synapsis.
In order to...
Crossing over01:34

Crossing over

Unlike mitosis, meiosis aims for genetic diversity in its creation of haploid gametes. Dividing germ cells first begin this process in prophase I, where each chromosome—replicated in S phase—is now composed of two sister chromatids (identical copies) joined centrally.
The homologous pairs of sister chromosomes—one from the maternal and one from the paternal genome—then begin to align alongside each other lengthwise, matching corresponding DNA positions in a process called synapsis.
In order to...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Related Experiment Video

Updated: May 24, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Crosswalk Between SNOMED CT and FinCC: Enhancing Semantic Interoperability.

Pia Liljamo1,2, Mikko Härkönen1, Ulla-Mari Kinnunen2,3

  • 1Department of Data and Analytics, Finnish Institute for Health and Welfare, Finland.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary

Healthcare data standards like SNOMED CT and FinCC improve interoperability. This study mapped FinCC nursing diagnoses and interventions to SNOMED CT concepts, supporting consistent data use and EU digital health goals.

Keywords:
Nursing InformaticsStandardized Nursing TerminologyTerminology mapping

Related Experiment Videos

Last Updated: May 24, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Area of Science:

  • Health Informatics
  • Clinical Terminology
  • Nursing Informatics

Background:

  • Healthcare data standards are crucial for consistent clinical documentation and interoperability.
  • Accurate information exchange supports coordinated care and informed decision-making.
  • Semantic interoperability aligns with the EU's digital health objectives for integrated, patient-centered care.

Purpose of the Study:

  • To identify SNOMED CT concepts equivalent to the Finnish Care Classification (FinCC).
  • To map SNOMED CT concepts to FinCC's Nursing Diagnoses and Nursing Interventions classifications.
  • To inform the further development of the FinCC terminology.

Main Methods:

  • Utilized the Delphi method for expert consensus.
  • Performed cross-mapping between SNOMED CT and FinCC terminologies.
  • Focused on identifying content-equivalent concepts.

Main Results:

  • Content-equivalent SNOMED CT concepts were identified for nearly all FinCC categories.
  • The study successfully cross-mapped FinCC nursing diagnoses and interventions.
  • Found substantial alignment between the two terminologies.

Conclusions:

  • Cross-mapping healthcare terminologies like SNOMED CT and FinCC enhances semantic interoperability.
  • This alignment supports consistent data usage across healthcare systems.
  • The findings contribute to achieving EU digital health goals for cross-border patient care.