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

Cancer Survival Analysis01:21

Cancer Survival Analysis

319
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
319
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.0K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.0K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

5.5K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.5K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

4.8K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.8K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

559
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
559
What is Cancer?02:12

What is Cancer?

10.4K
Cells and tissues must meticulously coordinate their activities for the normal functioning of the human body. Therefore, they exhibit socially responsible behavior - resting, growing, dividing, differentiating, or dying - for the organism’s benefit. Cancer arises when cells divide uncontrollably and invade other tissues or organs.
Although people have known about cancer for centuries, it was only in 1761 that Giovanni Morgagni of Padua performed a detailed autopsy of...
10.4K

You might also read

Related Articles

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

Sort by
Same author

CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training.

Neuroinformatics·2026
Same author

AD-DAE: Alzheimer's Disease Progression Modeling with Unpaired Longitudinal MRI using Diffusion Auto-Encoders.

IEEE journal of biomedical and health informatics·2026
Same author

Futility of fresh frozen plasma in the correction of coagulopathy prior to image-guided drainage of infected collections: Results from a prospective case-control study.

Asian journal of transfusion science·2026
Same author

Thrombocytosis Related Stroke-Like Event in Chronic Myeloid Leukemia: Rescue by Thrombocytapheresis.

Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion·2026
Same author

Core Binding Factor Acute Myeloid Leukemia Cases in the World Health Organization 2022 Era: A North Indian Cohort Study of 196 Cases with Focus on Diagnostic and Immunophenotypic Features.

Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion·2026
Same author

Disseminated Lymphoma Cutis in a Patient with NK T Cell Lymphoma Managed with SMILE Multiagent Chemotherapy.

Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion·2026

Related Experiment Video

Updated: May 24, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

475

Knowledge Models for Cancer Clinical Practice Guidelines: Construction, Management and Usage in Question Answering.

Pralaypati Ta, Bhumika Gupta, Arihant Jain

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an improved algorithm for automated knowledge modeling of Cancer Clinical Practice Guidelines (CPGs), enhancing accuracy and handling complexity for oncology treatments. The developed framework shows promise in question answering from these structured CPGs.

    More Related Videos

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
    07:35

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

    Published on: October 13, 2023

    1.5K
    Creating Matched In vivo/In vitro Patient-Derived Model Pairs of PDX and PDX-Derived Organoids for Cancer Pharmacology Research
    04:49

    Creating Matched In vivo/In vitro Patient-Derived Model Pairs of PDX and PDX-Derived Organoids for Cancer Pharmacology Research

    Published on: May 5, 2021

    6.3K

    Related Experiment Videos

    Last Updated: May 24, 2025

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    475
    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
    07:35

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

    Published on: October 13, 2023

    1.5K
    Creating Matched In vivo/In vitro Patient-Derived Model Pairs of PDX and PDX-Derived Organoids for Cancer Pharmacology Research
    04:49

    Creating Matched In vivo/In vitro Patient-Derived Model Pairs of PDX and PDX-Derived Organoids for Cancer Pharmacology Research

    Published on: May 5, 2021

    6.3K

    Area of Science:

    • Oncology
    • Medical Informatics
    • Natural Language Processing

    Background:

    • Existing automated algorithms for Cancer Clinical Practice Guidelines (CPGs) have limited scope and struggle with the complexity of varied cancer types.
    • There is a need for more robust automated methods to extract and structure knowledge from CPGs for improved usability and updates.

    Purpose of the Study:

    • To propose an improved automated knowledge modeling algorithm for creating structured knowledge models from National Comprehensive Cancer Network (NCCN) CPGs across different cancer types.
    • To develop an algorithm for comparing guideline versions to identify changes in treatment protocols.
    • To create and evaluate a question-answering (Q&A) framework utilizing these knowledge models.

    Main Methods:

    • Developed an enhanced automated knowledge modeling algorithm to process NCCN CPGs for multiple cancer types.
    • Implemented an algorithm to compare different versions of CPGs, detecting modifications in treatment protocols.
    • Constructed a Q&A framework using the generated knowledge models as an augmented knowledge base.
    • Evaluated the Q&A framework using 32 question-answer pairs for Non-Small Cell Lung Cancer (NSCLC) treatment.

    Main Results:

    • The proposed algorithm successfully created knowledge models from NCCN CPGs for four distinct cancer types.
    • The guideline comparison algorithm effectively identified changes between CPG versions.
    • The Q&A framework achieved 54.5% accuracy for answers derived from the treatment algorithm and 81.8% accuracy from the discussion section of the NSCLC NCCN guideline knowledge model.

    Conclusions:

    • The improved automated knowledge modeling algorithm enhances the extraction and structuring of complex information from CPGs.
    • The developed framework provides a viable method for querying CPG knowledge and tracking guideline evolution.
    • This approach has the potential to improve access to and understanding of cancer treatment guidelines.