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

Drug Discovery: Overview01:26

Drug Discovery: Overview

11.3K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
11.3K
Intelligence01:27

Intelligence

8.5K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.5K
Measures of Intelligence01:29

Measures of Intelligence

8.4K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.4K
Therapeutic Drug Monitoring: Drug Analysis Methods01:26

Therapeutic Drug Monitoring: Drug Analysis Methods

185
Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
185
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

8.9K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
8.9K
Cattell's Theory of Intelligence01:25

Cattell's Theory of Intelligence

8.0K
Raymond Cattell, along with John Horn, made significant contributions to our understanding of intelligence by distinguishing between two types: fluid intelligence and crystallized intelligence.
Fluid intelligence involves the capacity to solve new problems and adapt to unfamiliar situations. It's the type of intelligence individuals use when they encounter a novel problem or puzzle that requires innovative thinking. For instance, figuring out how to operate a new gadget relies heavily on...
8.0K

You might also read

Related Articles

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

Sort by
Same author

Phenotype Correlations of Neurological Manifestations in Wolfram Syndrome: Predictive Modeling in a Spanish Cohort.

Diagnostics (Basel, Switzerland)·2025
Same author

Circadian Rhythm and Psychiatric Features in Wolfram Syndrome: Toward Chrono Diagnosis and Chronotherapy.

Diagnostics (Basel, Switzerland)·2025
Same author

Gonadal Dysfunction in Wolfram Syndrome: A Prospective Study.

Diagnostics (Basel, Switzerland)·2025
Same author

Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space.

International journal of molecular sciences·2022
Same author

Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review.

International journal of molecular sciences·2022
Same author

Predictive Mathematical Models of the Short-Term and Long-Term Growth of the COVID-19 Pandemic.

Computational and mathematical methods in medicine·2021

Related Experiment Video

Updated: Jan 24, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Using artificial intelligence methods to speed up drug discovery.

Óscar Álvarez-Machancoses1, Juan Luis Fernández-Martínez1

  • 1a Group of Inverse Problems, Optimization and Machine Learning, Department of Mathematics , University of Oviedo , Oviedo , Spain.

Expert Opinion on Drug Discovery
|May 30, 2019
PubMed
Summary

Artificial intelligence (AI) offers solutions for complex genomic data in drug discovery. AI methodologies robustly sample genetic pathways, aiding in identifying therapeutic targets and optimizing drug selection.

Keywords:
Drug designartificial intelligencedrug discoveryphenotype prediction

More Related Videos

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.7K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

841

Related Experiment Videos

Last Updated: Jan 24, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.7K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

841

Area of Science:

  • Genomics
  • Pharmacology
  • Computational Biology

Background:

  • Drug discovery involves identifying new compounds using biology, chemistry, and pharmacology.
  • Genomic data complexity necessitates AI for decision-making in drug discovery.
  • Phenotypic prediction is crucial for drug discovery and precision medicine but faces challenges due to data imbalance.

Purpose of the Study:

  • To present AI methodologies for analyzing altered genetic pathways.
  • To identify new therapeutic targets and assist in drug repurposing.
  • To accelerate and optimize the drug selection process.

Main Methods:

  • AI techniques for robust deep sampling of genetic pathways.
  • Methods to address the imbalance between genetic probes and patient samples.
  • Application of AI in phenotypic prediction for drug discovery.

Main Results:

  • AI enables identification of novel therapeutic targets.
  • AI facilitates efficient drug repurposing strategies.
  • AI optimizes and accelerates the drug selection pipeline.

Conclusions:

  • AI is a powerful tool for addressing challenges in drug discovery.
  • Data quality is paramount for the success of AI-driven predictions.
  • Transparent AI methodologies are essential, especially for rare disease drug repositioning.