Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Allergic Drug Reactions01:27

Allergic Drug Reactions

1.4K
Allergic reactions related to drugs are hypersensitivity responses driven by the immune system and bear no connection to the drug's therapeutic action. While drugs in isolation do not trigger an immune response, they can interact with endogenous proteins to form antigens. These antigens stimulate lymphocytes to produce antibodies. IgE-type antibodies attach themselves to mast cells. Upon subsequent exposure to the same stimulus, the antigen-antibody interaction is initiated, unleashing...
1.4K
Drug Metabolism: Phase I Reactions01:17

Drug Metabolism: Phase I Reactions

4.7K
A phase I reaction is a biochemical process that introduces a functionally reactive polar group to a substance. This transformation predominantly occurs in the liver, facilitated by the cytochrome P450 system of hemoproteins situated in the lipophilic endoplasmic reticulum of cells. The metabolite generated through this process can have varying polarities. If it is sufficiently polar, it can be easily excreted in the urine due to its water compatibility. However, if the metabolite is nonpolar,...
4.7K
Drug Metabolism: Phase II Reactions01:14

Drug Metabolism: Phase II Reactions

4.9K
Phase II reactions are essential for the detoxification and elimination of drugs from the body. These reactions involve the conjugation of parent drugs or their phase I metabolites with endogenous molecules, resulting in more hydrophilic drug conjugates. The primary conjugation reactions in this phase are sulfation and glucuronidation. Both sulfation and glucuronidation typically produce biologically inactive metabolites. However, in some cases involving prodrugs, active metabolites may be...
4.9K
Distance Corrections01:15

Distance Corrections

285
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
285
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.8K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
9.8K
Power Factor Correction01:20

Power Factor Correction

515
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
515

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Current clinical practice trends in giant cell arteritis diagnosis and management: a national survey of Australian rheumatologists and rheumatology trainees.

Internal medicine journal·2026
Same author

Polymyalgia rheumatica patients presenting with atypical clinical features still exhibit characteristic <sup>18</sup>F-FDG PET/CT findings.

European journal of nuclear medicine and molecular imaging·2025
Same author

SMS text message-delivered pain self-management intervention for patients undergoing total knee replacement surgery: protocol for a randomised controlled type 1 hybrid effectiveness-implementation trial.

BMJ open·2025
Same author

Characterising polymyalgia rheumatica on whole-body <sup>18</sup>F-FDG PET/CT: an atlas.

Rheumatology advances in practice·2024
Same author

Clinical evaluation is critical for the implementation of artificial intelligence in health care: comment on the article by Mickley et al.

Arthritis care & research·2024
Same author

Impact of the COVID-19 Pandemic on Health Care Access and Diagnosis of Pulmonary Arterial Hypertension Among Patients With Systemic Sclerosis.

Arthritis care & research·2023

Related Experiment Video

Updated: Jan 26, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K

Correction to: A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical

Christopher McMaster1,2, David Liew3,4, Claire Keith5

  • 1Department of Clinical Pharmacology, Austin Health, Level 5, Lance Townsend Building, Studley Rd, Heidelberg, VIC, 3084, Australia. christopher.mcmaster@austin.org.au.

Drug Safety
|April 17, 2019
PubMed
Summary

This study details the design, data acquisition, validation, analysis, and interpretation of research findings. All authors contributed to manuscript review and approved the final publication.

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

954
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.4K

Related Experiment Videos

Last Updated: Jan 26, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

954
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.4K

Area of Science:

  • Research methodology and scientific publication.

Context:

  • Study design and conception
  • Data acquisition and validation
  • Data analysis and interpretation

Purpose:

  • To outline the roles and responsibilities of the principal investigator and all authors in the research process.
  • To detail the workflow from study conception to manuscript approval.

Summary:

  • The principal investigator (CK) and co-author (CM) were responsible for study design and conception.
  • All authors participated in data acquisition, validation, analysis, and interpretation.
  • Authors collectively reviewed manuscript drafts and approved the final version.

Impact:

  • Ensures clarity in research contributions and accountability.
  • Provides a transparent record of the scientific process.
  • Facilitates reproducibility and understanding of the study's foundation.