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

Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

10.8K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.8K
Primary and Secondary Growth in Roots and Shoots03:02

Primary and Secondary Growth in Roots and Shoots

60.5K
Vascular plants, which account for over 90% of the Earth’s vegetation, all undergo primary growth—which lengthens roots and shoots. Many land plants, notably woody plants, also undergo secondary growth—which thickens roots and shoots.
60.5K
Primary and Secondary Reinforcers01:23

Primary and Secondary Reinforcers

1.0K
In psychology, reinforcement is a key concept in behavior modification. B.F. Skinner demonstrated this with his experiments involving rats in what is known as a Skinner box. The rats learned to press a lever to receive food, a primary reinforcer that fulfilled their innate need for nourishment.
Effective reinforcers for humans vary depending on the individual and the context. Primary reinforcers, such as food, water, sleep, shelter, and pleasure, have inherent value and satisfy basic biological...
1.0K
Primary Motives: Sleep, Sex, and Pain Avoidance01:24

Primary Motives: Sleep, Sex, and Pain Avoidance

5.6K
Primary motives such as sleep, sex, and pain avoidance are crucial drivers of behavior in humans and animals. These motives ensure survival, reproductive success, and overall well-being by prompting actions that meet essential bodily needs.
Sleep is a fundamental physiological drive that fosters a state of restfulness crucial for several bodily functions. It facilitates body restoration, the process by which the body repairs, rejuvenates, and maintains itself during sleep, including memory...
5.6K
Secondary Active Transport01:55

Secondary Active Transport

137.9K
One example of how cells use the energy contained in electrochemical gradients is demonstrated by glucose transport into cells. The ion vital to this process is sodium (Na+), which is typically present in higher concentrations extracellularly than in the cytosol. Such a concentration difference is due, in part, to the action of an enzyme “pump” embedded in the cellular membrane that actively expels Na+ from a cell. Importantly, as this pump contributes to the high concentration of...
137.9K
Machines01:19

Machines

579
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
579

You might also read

Related Articles

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

Sort by
Same author

Survey-based insights on overcoming barriers in healthcare innovation ecosystems.

Nature biotechnology·2026
Same author

Emergency Free Flap Reconstruction in Traumatic Extremity Injuries: Clinical Indications and Framework.

Microsurgery·2026
Same author

Targeted Muscle Reinnervation for Management and Prevention of Symptomatic Neuroma.

Muscle & nerve·2026
Same author

Algorithm for Surgical Management of Symptomatic Hand and Digital Neuromas.

Plastic and reconstructive surgery. Global open·2026
Same author

Central sensitization: when is this the right terminology?

Pain·2026
Same author

Correction: Bortezomib-induced neurotoxicity in human neurons is the consequence of nicotinamide adenine dinucleotide depletion.

Disease models & mechanisms·2026

Related Experiment Video

Updated: Feb 4, 2026

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.5K

Machine Learning Approach to Predict Pain Outcomes Following Primary and Secondary Targeted Muscle Reinnervation in

Floris V Raasveld1,2,3, Zihe Zhang2,4, Benjamin R Johnston5

  • 1Division of Plastic and Reconstructive Surgery, Department of General Surgery, Massachusetts General Hospital, Harvard University, Boston, MA.

Plastic and Reconstructive Surgery
|February 2, 2026
PubMed
Summary

A new machine learning model predicts success for Targeted Muscle Reinnervation (TMR) surgery in amputees. It identifies factors like pre-operative opioid use and smoking to improve pain management outcomes.

Keywords:
AmputeesMLRelevance Vector MachineTargeted Muscle Reinnervation

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.8K
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

22.1K

Related Experiment Videos

Last Updated: Feb 4, 2026

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.5K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.8K
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

22.1K

Area of Science:

  • Biomedical Engineering
  • Machine Learning in Medicine
  • Surgical Outcomes Research

Background:

  • Targeted Muscle Reinnervation (TMR) is used to treat neuropathic pain in amputees, but outcomes vary.
  • Predictive models are needed to identify patients likely to benefit from TMR.

Purpose of the Study:

  • Develop and validate a machine learning (ML) model to predict sustained pain mitigation after TMR.
  • Identify key patient characteristics influencing TMR success.

Main Methods:

  • Retrospective analysis of 178 TMR patients (2017-2024).
  • Categorization of pain outcomes based on Numeric Rating Scale criteria.
  • Comparison of lasso logistic regression, random forest, and relevance vector machine (RVM) models.
  • Evaluation using AUROC and SHAP for feature importance.

Main Results:

  • The RVM model demonstrated strong predictive accuracy (0.74±0.12) and AUROC (0.78-0.80) for both primary and secondary TMR.
  • Negative predictors for primary TMR included pre-operative opioid use, male sex, and depression.
  • Negative predictors for secondary TMR included smoking, high pain scores, and anxiety.

Conclusions:

  • A novel ML model shows significant predictive capability for TMR outcomes.
  • This tool can aid surgical planning and patient selection.
  • Identified modifiable risk factors offer targets for pre-operative optimization to enhance surgical success.