Related Experiment Video

Updated: Oct 5, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

971

Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility

Andreas D Meid1, Alexander Gerharz2, Andreas Groll2

  • 1Department of Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, Heidelberg, Germany.

CPT: Pharmacometrics & Systems Pharmacology
|February 1, 2022
PubMed
Summary

No abstract available in PubMed .

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

8.4K
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

7.0K

Related Experiment Videos

Last Updated: Oct 5, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

971
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

8.4K
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

7.0K

Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

5.8K
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,...
5.8K

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

Interpretation of Pharmacometabolomics Results: Fingerprint of Drug Exposure or Confounder Effects? Insights from a Urinary Metabolomics Study with Voriconazole in Healthy Participants.

International journal of molecular sciences·2026

Synergistic effects of air pollution and temperature on blood pressure in older German women.

Scientific reports·2026

Acute exercise rewires the proteomic landscape of human immune cells.

Nature communications·2026

Predicting potassium trajectories for risk monitoring in outpatients with heart failure, diabetes mellitus or chronic kidney disease.

British journal of clinical pharmacology·2025

Boosting any learning algorithm with Statistically Enhanced Learning.

Scientific reports·2025

Finding the needle in the haystack of isokinetic knee data: Random Forest modelling improves information about ACLR-related deficiencies.

Journal of sports sciences·2024

Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care.

CPT: pharmacometrics & systems pharmacology·2026

A Combined Experimental and Predictive Modeling Study of Diltiazem Release From Natural Polymer Microcapsules in Different Media.

CPT: pharmacometrics & systems pharmacology·2026

Optimizing Clinical Study Designs for CAR-T Cell Therapy: Development of an Efficient Sampling Strategy Through Optimal Experimental Design.

CPT: pharmacometrics & systems pharmacology·2026

Best Practices in Physiologically Based Pharmacokinetic (PBPK) Modeling.

CPT: pharmacometrics & systems pharmacology·2026

Integrated Population Pharmacokinetic Analysis of Intravitreal Aflibercept Drug Products.

CPT: pharmacometrics & systems pharmacology·2026

Development and Use of a Population Pharmacokinetic Model for Characterizing the Pharmacokinetics of Vonoprazan in Pediatric Patients.

CPT: pharmacometrics & systems pharmacology·2026

Mnemonic vs. Executive Contributions to the N400: A Connectionist Approach to False Memories.

Computational brain & behavior·2026

Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives.

Journal of the Royal Statistical Society. Series B, Statistical methodology·2026

CoReGRN: a context-aware post-processing framework for gene regulatory network inference revealing regulatory signatures in HIV-Leishmaniasis.

BMC genomics·2026

Interpretable reinforcement learning with structured policies for prescriptive supply chain analytics.

Scientific reports·2026

Knowledge flow mechanisms and innovation ecosystem cultivation strategies in the digital transformation of advanced manufacturing clusters.

Scientific reports·2026

AI-driven feature descriptor design using CNNs and transfer learning for enhanced image retrieval accuracy and efficiency.

Scientific reports·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