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

Aging01:26

Aging

613
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
613
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

3.4K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
3.4K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

250
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
250
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

292
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
292
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

249
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
249
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

362
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
362

You might also read

Related Articles

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

Sort by
Same author

Reprogramming macrophage mechanosensation via TRPV4 modulating mechano-immunotherapy controls fibrotic encapsulation of biomaterial implants.

Bioactive materials·2026
Same author

Single-cell RNA sequencing profiles drug activity within spatially engineered 3D cultures.

Nature communications·2026
Same author

Stromal peroxidasin drives early tumor growth in breast cancer.

iScience·2026
Same author

Multiracial individuals' perspectives on participating in genetics research.

Journal of community genetics·2026
Same author

MCC950-loaded silk microgel-hydrogel composite scaffolds effectively modulate inflammation for improving tissue interaction and remodeling.

Acta biomaterialia·2026
Same author

Additive Manufacturing of Ordered Polymer Nanostructures.

Advanced materials (Deerfield Beach, Fla.)·2026
Same journal

Design Principles for Fluid Molecular Ferroelectrics.

Advanced materials (Deerfield Beach, Fla.)·2026
Same journal

Generating Unconventional Spin-Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films.

Advanced materials (Deerfield Beach, Fla.)·2026
Same journal

An In Situ H<sub>2</sub>S-Activated Plasmonic Nanozyme for Near-Infrared II Photo-Thermoelectric Catalytic Therapy.

Advanced materials (Deerfield Beach, Fla.)·2026
Same journal

A Recyclable and Sustainable Hydroxypropyl Methylcellulose Electrolyte for Electrochromic Devices.

Advanced materials (Deerfield Beach, Fla.)·2026
Same journal

Perovskite Heterostructures for Optoelectronic Applications.

Advanced materials (Deerfield Beach, Fla.)·2026
Same journal

Light-Written Nonvolatile Polarization via Defect-Engineered Charge Trapping.

Advanced materials (Deerfield Beach, Fla.)·2026
See all related articles

Related Experiment Video

Updated: Jan 18, 2026

Modeling Age-Associated Neurodegenerative Diseases in Caenorhabditis elegans
07:04

Modeling Age-Associated Neurodegenerative Diseases in Caenorhabditis elegans

Published on: August 15, 2020

5.8K

Engineering Aging: Approaches to Model and Deconstruct Biological Complexity.

Habib Joukhdar1,2,3,4, Sunny Shinchen Lee3,4, Thomas R Cox5,6

  • 1School of Medical Sciences, University of Sydney, Sydney, NSW, 2006, Australia.

Advanced Materials (Deerfield Beach, Fla.)
|September 9, 2025
PubMed
Summary
This summary is machine-generated.

Aging research faces challenges with current models. Biofabrication offers a promising solution by creating advanced in vitro aging models that better mimic human tissue for improved research accuracy.

Keywords:
agingbiofabricationbiomaterialstissue models

More Related Videos

Author Spotlight: Automated Lifespan Monitoring &#8211; Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.6K
Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
08:46

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

Published on: September 29, 2011

16.0K

Related Experiment Videos

Last Updated: Jan 18, 2026

Modeling Age-Associated Neurodegenerative Diseases in Caenorhabditis elegans
07:04

Modeling Age-Associated Neurodegenerative Diseases in Caenorhabditis elegans

Published on: August 15, 2020

5.8K
Author Spotlight: Automated Lifespan Monitoring &#8211; Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.6K
Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
08:46

Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

Published on: September 29, 2011

16.0K

Area of Science:

  • Biofabrication and Biomaterials
  • Aging Research
  • In Vitro Modeling

Background:

  • Global life expectancy is increasing, but health outcomes decline with age.
  • Current aging research models (animal, 2D cell cultures) have significant limitations in biological accuracy and translational potential.
  • Existing models fail to fully represent the complexity of human aging processes.

Purpose of the Study:

  • To review the current state of in vitro aging models.
  • To identify essential features for next-generation aging models.
  • To explore biofabrication technologies for developing improved aging models.

Main Methods:

  • Perspective review of existing aging research models.
  • Analysis of limitations in animal models and 2D cell cultures.
  • Discussion of biofabrication and biomaterial advancements.

Main Results:

  • Current in vitro aging models lack the dynamic 3D complexity of human tissue.
  • Biofabrication techniques show potential for engineering sophisticated, responsive aging models.
  • Advanced biomaterials can create high-resolution, time-dependent features.

Conclusions:

  • There is a critical need for more accurate in vitro aging models.
  • Biofabrication presents a viable technological avenue to engineer these advanced models.
  • Addressing challenges in biofabrication is key to realizing the potential of new aging research tools.