Related Experiment Video

Updated: Jul 5, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

Correction: A Machine Learning Model to Predict Patients' Adherence Behavior and a Decision Support System for

Marianna Masiero1,2, Gea Elena Spada2, Virginia Sanchini1

  • 1Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.

JMIR Research Protocols
|January 15, 2024
PubMed

Abstract:

[This corrects the article DOI: 10.2196/48852.].

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

8.3K
Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.2K

Related Experiment Videos

Last Updated: Jul 5, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K
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

8.3K
Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.2K

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

353
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...
353

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

CDKPredict: a clinicogenomic model for risk-adapted therapeutic intervention in breast cancer.

Research square·2026

Digital health interventions for psychological and cognitive care in cancer patients and caregivers: A RE-AIM-based systematic review.

Applied psychology. Health and well-being·2026

From Clinical Reality to Blueprint Designing: A Qualitative Study Exploring Communication Challenges and Unmet Needs for Patient Decision Aid Development in Early-Stage Breast Cancer.

Psycho-oncology·2026

Mapping Psychosocial Determinants for Cancer Onset: An Umbrella Review.

Psycho-oncology·2026

Health-related quality of life domains relevant to people in Europe undergoing cancer treatment: a systematic review of qualitative research.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026

Mental Health Screening Tools for Cancer Patients, and Their Caregivers: An Umbrella Review.

Psycho-oncology·2026

Socially Embedded Digital Coaching Platform to Promote Healthy Lifestyle and Mental Health in Underprivileged (Pre)Pregnant Couples and Young Families (Our Smart Family Buddy Program): Protocol for a Mixed Methods Study.

JMIR research protocols·2026

Effects of Spiritual and Religious Practices on Burnout and Academic Stress Among Undergraduate Medical Students: Protocol for a Scoping Review.

JMIR research protocols·2026

Pharmacist-Led Continuous Glucose Monitoring for Prediabetes: Protocol for a Prospective Cohort Study.

JMIR research protocols·2026

Effectiveness of Generative AI-Enabled Teaching for Clinical Reasoning in Health Care Education: Protocol for a Systematic Review and Meta-Analysis.

JMIR research protocols·2026

Enhancing Mental Wellness in Kenyan Adolescents and Young People: Protocol for a Platform Development and Usability Study.

JMIR research protocols·2026

Rapid Innovation of Precision Psychiatry Interventions Using Dynamical Systems Modeling and Ecological Quasi-Experiments: Protocol for a Proof-of-Concept Study on Eating Disorders.

JMIR research protocols·2026
See all related articles
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
Jove
Visualize
Contact Us