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

Combinatorial Gene Control02:33

Combinatorial Gene Control

8.6K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.6K
Genetic Screens02:46

Genetic Screens

4.6K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.6K

You might also read

Related Articles

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

Sort by
Same author

Aerial small object detection via dynamic convolution and hierarchical attention fusion for UAV imagery.

Scientific reports·2026
Same author

CEDR: robust consensus cancer subtyping with multi-omics data via ensemble dimensionality reduction.

Briefings in bioinformatics·2026
Same author

Effects of preoperative CALLY index and intraoperative LCA preservation on postoperative complications and LARS following robot-assisted mid and low rectal cancer surgery: a retrospective study.

BMC surgery·2026
Same author

Human NLRP3 inflammasome activation leads to formation of condensate at the microtubule organizing center.

Science advances·2026
Same author

PDAP1 reprograms fatty acid metabolism and drives malignant transformation via HSPA8-Mediated ERK/MAPK activation in hepatocellular carcinoma.

Metabolism: clinical and experimental·2026
Same author

Self-amplifying RNA therapy encoding CNTF with disulfiram co-delivery promotes optic nerve repair through microglial pyroptosis inhibition and RGC axonal regeneration.

Journal of nanobiotechnology·2026

Related Experiment Video

Updated: May 3, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.0K

Clinical pathways scheduling using hybrid genetic algorithm.

Gang Du1, Zhibin Jiang, Yang Yao

  • 1Business School, East China Normal University, 500 Dong Chuan Road, Shanghai, 200241, China, nusdugang@gmail.com.

Journal of Medical Systems
|April 12, 2013
PubMed
Summary
This summary is machine-generated.

This study optimizes clinical pathway (CP) scheduling using a hybrid genetic algorithm (HGA) to improve hospital management and reduce patient waiting times. The HGA method enhances time efficiency and patient satisfaction in healthcare processes.

More Related Videos

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

9.2K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

Related Experiment Videos

Last Updated: May 3, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.0K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

9.2K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

Area of Science:

  • Healthcare Management
  • Operations Research
  • Computational Medicine

Background:

  • Hospital management requires efficient scheduling of clinical pathways (CPs) to control costs and improve patient care standards.
  • Current scheduling methods may not fully optimize resource allocation or patient treatment timelines.
  • Patient satisfaction is often linked to the efficiency and timeliness of medical processes.

Purpose of the Study:

  • To optimize the scheduling of clinical pathways (CPs) for improved hospital management and cost control.
  • To develop and validate a mathematical model and a hybrid genetic algorithm (HGA) for effective CP scheduling.
  • To enhance patient time efficiency and reduce wastage in medical treatments.

Main Methods:

  • Construction of a mathematical model for CP scheduling.
  • Development of a hybrid genetic algorithm (HGA) combining genetic algorithms and particle swarm optimization.
  • Introduction of a novel mutation mechanism to expand the search space for optimal solutions.
  • Utilization of relative patient waiting time and relative time efficiency as key performance indicators.

Main Results:

  • The proposed HGA demonstrated superior performance in precision compared to traditional heuristic rules for CP scheduling.
  • Optimized CP scheduling significantly enhances patient time efficiency and reduces time wastage.
  • The system empowers patients, moving them from a passive role in their medical processes.
  • Relative waiting time and time efficiency proved more effective metrics than absolute measures.

Conclusions:

  • The HGA is an effective tool for optimizing CP scheduling, leading to enhanced efficiency in medical processes.
  • This research provides a valuable decision-making mechanism for medical staff, particularly in electronic CP management.
  • The findings have significant theoretical and practical implications for improving healthcare delivery and patient experience.