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

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

Herpes Zoster in Patients Treated with JAK Inhibitors for Immune-Mediated Inflammatory Diseases: Incidence, Associated Factors and Vaccination Uptake in a Real-World Cohort.

Journal of clinical medicine·2026

Same author

Reliability of CEUS and MRI for grading knee-joint inflammation in juvenile idiopathic arthritis.

European radiology·2026

Same author

Soluble transferrin receptor as a reliable inflammation-independent marker of iron deficiency in Crohn's disease and ulcerative colitis.

Inflammatory bowel diseases·2026

Same author

Annexin A1 and Dexamethasone Treatment in Hospitalized COVID-19 Patients: Impact on Disease Recovery and Evidence for an Interplay Between Proresolving Mediators.

Biomolecules·2026

Same author

Vestibular Functional Patterns in Sudden Sensorineural Hearing Loss: A Systematic Review and Pooled Analysis.

Ear and hearing·2026

Same author

Excessive Ultrafiltration Associates with EPO Hyporesponsiveness in Elderly Chronic Hemodialysis Patients.

Biomedicines·2026

Search research articles

Related Experiment Video

Updated: Nov 22, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Neonatal cholestasis: development of a diagnostic decision algorithm from multivariate predictive models.

Ermelinda Santos Silva^1,2,3, Helena Moreira Silva⁴, Cristina Catarino⁵

¹Gastroenterology Unit, Paediatrics Division, Child and Adolescent Department, Centro Materno-Infantil do Norte, Centro Hospitalar Universitário do Porto, Largo da Maternidade, n° 45, 4050-651, Porto, Portugal. ermelinda.dia@chporto.min-saude.pt.

European Journal of Pediatrics

|January 7, 2021

Summary

This study developed diagnostic models for neonatal cholestasis (NC) and its prognosis, identifying predictors for conditions like alpha-1-antitrypsin deficiency (A1ATD). The findings support a new diagnostic algorithm for better patient care.

Keywords:

Alpha-1-antitrypsin deficiency Biliary atresia Diagnostic decision algorithm Multivariate prediction models Neonatal cholestasis Transient neonatal cholestasis

More Related Videos

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

Isolation of Neonatal Extrahepatic Cholangiocytes

Isolation of Neonatal Extrahepatic Cholangiocytes

Published on: June 5, 2014

Related Experiment Videos

Last Updated: Nov 22, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

Isolation of Neonatal Extrahepatic Cholangiocytes

Isolation of Neonatal Extrahepatic Cholangiocytes

Published on: June 5, 2014

Area of Science:

Neonatology
Pediatric Gastroenterology
Medical Diagnostics

Background:

Neonatal cholestasis (NC) diagnosis relies heavily on medical expertise, with limited diagnostic models available, particularly for conditions beyond biliary atresia.
Existing diagnostic algorithms do not fully incorporate evolving epidemiology or recent molecular diagnostic advancements.

Purpose of the Study:

To develop etiological diagnostic models and unfavorable prognosis models for neonatal cholestasis.
To support a more rational and evidence-based diagnostic approach for NC.

Main Methods:

Retrospective analysis of 154 neonatal patients (1985-2019).
Multivariate logistic regression to identify independent predictors.
Development of diagnostic models, including one for alpha-1-antitrypsin deficiency (A1ATD).

Main Results:

Lower gestational age predicted transient cholestasis and sepsis-related diseases.
Gamma-glutamyl transferase levels > 300 IU/L indicated biliary atresia, A1ATD, and unfavorable prognosis.
A diagnostic model for A1ATD demonstrated strong predictive accuracy (AUC = 0.843).

Conclusions:

Predictive models for diagnosis and prognosis of NC were identified, aiding in the creation of a diagnostic decision algorithm.
The study highlights the significance of A1ATD, providing a robust predictive model for this condition within the NC spectrum.