Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

You might also read

Related Articles

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

Sort by

Same author

The role of systemic microvascular function in the association between large artery stiffness and cognitive function in older adults.

Journal of hypertension·2026

Same author

Polyol pathway dysregulation in CSF links glucose metabolism to tau pathology independently of amyloid and genetic predisposition.

medRxiv : the preprint server for health sciences·2026

Same author

Stakeholder perspectives on the potential benefits, risks, and implications of an interactive cognitive monitoring app for the identification and monitoring of cognitive decline in adults at risk of dementia.

BMC health services research·2026

Same author

Missing by omission: the hidden heart of cardiovascular inequity in the UK.

The British journal of general practice : the journal of the Royal College of General Practitioners·2026

Same author

Genetic background shapes AI-predicted variant effects.

bioRxiv : the preprint server for biology·2026

Same author

Variants in the proteasome regulator PSMF1 cause a phenotypic spectrum from parkinsonism to perinatal lethality.

Nature communications·2026

Same journal

Evaluation of CSF and plasma tau species as fluid surrogate candidates for tau PET in prodromal to moderate Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Same journal

Associations of self-reported obstructive sleep apnea with cognition and dementia risk in cognitively unimpaired middle-aged adults.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Same journal

Inflammation profiles in Alzheimer's disease relate to cognition and neurodegeneration.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Same journal

Cardiovascular-kidney-metabolic syndrome stage modifies the efficacy of intensive blood pressure control on cognitive outcomes: A post hoc analysis of SPRINT MIND.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Same journal

Evidence of APOE4-related brain vulnerabilities in verbal memory systems in midlife women.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Same journal

Changes in DNA methylation-based aging predicts brain damage and dementia and reflects life-course cardiovascular risk.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 17, 2026

Intracerebroventricular Injection of Amyloid-β Peptides in Normal Mice to Acutely Induce Alzheimer-like Cognitive Deficits

Intracerebroventricular Injection of Amyloid-β Peptides in Normal Mice to Acutely Induce Alzheimer-like Cognitive Deficits

Published on: March 16, 2016

Artificial intelligence for neurodegenerative experimental models.

Sarah J Marzi^1,2, Brian M Schilder^1,2, Alexi Nott^1,2

¹UK Dementia Research Institute, Imperial College London, London, UK.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association

|September 28, 2023

Summary

This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) can improve experimental medicine for dementia research. These tools enhance reproducibility and translation from models to human biology, addressing key challenges in drug discovery.

Keywords:

FAIR animal models artificial intelligence comparative biology dementia experimental models iPSC in silico in vitro in vivo machine learning neurodegeneration preclinical reproducibility translation

More Related Videos

Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology

Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology

Published on: May 28, 2017

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Published on: August 4, 2018

Related Experiment Videos

Last Updated: Jun 17, 2026

Intracerebroventricular Injection of Amyloid-β Peptides in Normal Mice to Acutely Induce Alzheimer-like Cognitive Deficits

Intracerebroventricular Injection of Amyloid-β Peptides in Normal Mice to Acutely Induce Alzheimer-like Cognitive Deficits

Published on: March 16, 2016

Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology

Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology

Published on: May 28, 2017

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Published on: August 4, 2018

Area of Science:

Neuroscience and Experimental Medicine
Computational Biology and Bioinformatics

Background:

Experimental models are crucial for neurodegenerative disease research, but translating findings to human clinical trials faces significant challenges, leading to high failure rates.
Reproducibility and cross-species translation are persistent issues in preclinical dementia research, hindering the development of effective treatments.

Purpose of the Study:

To review the application of artificial intelligence (AI) and machine learning (ML) in experimental medicine for dementia research.
To highlight best practices and resources for quantifying and evaluating translatability in preclinical dementia models.
To evaluate how AI and ML can enhance cross-model reproducibility and translation to human biology while maintaining interpretability.

Main Methods:

Systematic review of AI and ML applications in experimental medicine for dementia.
Analysis of challenges in reproducibility, cross-species translation, and data curation.
Identification of data resources and AI approaches to address these challenges.

Main Results:

AI and ML approaches are emerging in experimental medicine but are currently in their early stages.
Specific issues identified include poor reproducibility, difficulties in cross-species translation, and inadequate data curation.
AI, particularly multi-omics analysis, shows potential for improving drug discovery and strengthening preclinical research if based on robust data.

Conclusions:

AI and ML hold significant promise for advancing dementia research by improving the reliability and translatability of experimental findings.
The successful implementation of AI/ML requires high-quality, reproducible experimental data and effective data curation strategies.
Future applications of AI in multi-omics analysis offer exciting possibilities for novel therapeutic strategies in dementia drug discovery.