Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Pharmacodynamic Models: Overview

Pharmacodynamic Models: Overview

Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...

Therapeutic Drug Monitoring: Overview and Classification

Therapeutic Drug Monitoring: Overview and Classification

Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...

Pharmacogenomics: Identification of New Drug Targets

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

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...

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

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...

Pharmacokinetic Models: Comparison and Selection Criterion

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.

You might also read

Related Articles

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

Sort by

Same author

A Comprehensive Bibliometric Analysis of Global Research Trends in Hair Loss Treatment: Key Contributions, Emerging Hotspots, and Future Directions.

Aesthetic surgery journal. Open forum·2026

Same author

Three-Dimensional Ultrafast Ultrasound Reveals Dynamic Vascular Alterations During Intraocular Melanoma Progression in Mice.

Investigative ophthalmology & visual science·2026

Same author

Endoscopic versus open resection of pediatric periorbital masses using a novel subcutaneous operative channel: a focus on safety and aesthetic outcomes.

Translational pediatrics·2025

Same author

Primary choroidal lymphoma with extrascleral extension and bone marrow involvement: a case report.

Frontiers in medicine·2025

Same author

Risk factors of mortality among pediatric burn patients: a systematic review and meta-analysis.

Translational pediatrics·2025

Same author

Epidemiological and clinical characteristics of pediatric patients with extremely severe burns: a retrospective study of 101 cases.

Translational pediatrics·2025

Search research articles

Related Experiment Video

Updated: May 20, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

A generalist precision medication framework using temporal causal inference based on treatment-free physiological

Zizhen Deng¹, Wei Wu¹, Chi Zhang¹

¹Department of Big Data and Biomedical AI, College of Future Technology, Peking University, Beijing, China.

Nature Communications

|May 18, 2026

Summary

Temporal Causal Precision Medication (TCPM) offers personalized treatment strategies by analyzing physiological indicators. This framework improves therapeutic efficacy and uncovers patient subgroups for better clinical benefit.

Related Experiment Videos

Last Updated: May 20, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Area of Science:

Biomedical Informatics
Computational Biology
Clinical Medicine

Background:

Treatment response heterogeneity is a major clinical challenge.
Unobservable counterfactual outcomes complicate personalized medicine.
Existing clinical data is confounded by current therapies.

Purpose of the Study:

To introduce Temporal Causal Precision Medication (TCPM), a framework for personalized treatment strategies.
To develop a method for modeling unbiased physiological states.
To address confounding effects in clinical data for improved treatment allocation.

Main Methods:

Developed the treatment-free physiological profile (TFPP) using counterfactual prediction and adversarial learning.
Validated the TCPM framework across six datasets (four public, two private).
Employed physician simulation studies to assess clinical utility.

Main Results:

TCPM significantly outperformed standard clinical protocols and reinforcement learning methods.
Identified distinct patient subgroups with varying treatment response patterns.
Elucidated evolving physiological network dynamics to reveal mechanistic heterogeneity.

Conclusions:

TCPM provides a clinically practical framework for personalized treatment allocation.
Integrates data-driven precision with physiological insights for optimal individual benefit.
Advances the implementation of precision medicine in acute and chronic diseases.