AIMC Topic: Drug Monitoring
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A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States.
IEEE journal of biomedical and health informatics
Nov 27, 2017
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand pronation-supination test. Clinician's ratings using the Treatment R...
Infliximab trough levels and persistent vs transient antibodies measured early after induction predict long-term clinical remission in patients with inflammatory bowel disease.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Nov 27, 2017
BACKGROUND: The use of therapeutic drug monitoring has been proposed as a useful tool in the management of patients with loss of response to biological therapy in patients with inflammatory bowel disease.
Rapid and sensitive method for simultaneous determination of first-line anti-tuberculosis drugs in human plasma by HPLC-MS/MS: Application to therapeutic drug monitoring.
Tuberculosis (Edinburgh, Scotland)
Nov 24, 2017
First-line anti-tuberculosis drugs are playing vital roles for curbing rapid spread of tuberculosis. Multidrug therapies are commonly applied in clinical to achieve better treatment outcomes. However, drug resistance and adverse reactions come along ...
Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request.
Journal of biomedical semantics
Mar 3, 2017
BACKGROUND: The Drug Ontology (DrOn) is an OWL2-based representation of drug products and their ingredients, mechanisms of action, strengths, and dose forms. We originally created DrOn for use cases in comparative effectiveness research, primarily to...
Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.
Computer methods and programs in biomedicine
Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Data Mining
Toluene
Linear Models
Pattern Recognition, Automated
Carbon
Area Under Curve
Drug Monitoring
Pharmaceutical Preparations
Nervous System
Ethylamines
Safety-Based Drug Withdrawals
False Positive Reactions
Drug Approval
Risk
Product Surveillance, Postmarketing
Humans
Algorithms
Patient Safety
Computer Simulation
Sensitivity and Specificity
Benzene
Support Vector Machine
Natalizumab-associated progressive multifocal leukoencephalopathy is not preceded by elevated drug concentrations.
Multiple sclerosis (Houndmills, Basingstoke, England)
Dec 13, 2016
BACKGROUND: In recent years, a small but increasing number of neurologists choose to extend dose intervals of natalizumab with the aim of reducing the risk of progressive multifocal leukoencephalopathy (PML). This idea is based on the hypothesis that...
Non-weight-based enoxaparin dosing subtherapeutic in trauma patients.
The Journal of surgical research
Oct 21, 2015
BACKGROUND: We report our experience dosing and monitoring enoxaparin with anti-factor Xa activity (anti-FXaA) levels for venous thromboembolism prophylaxis in trauma patients (TP).
SERS based determination of ceftriaxone, ampicillin, and vancomycin in serum using WS/Au@Ag nanocomposites and a 2D-CNN regression model.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
May 15, 2025
Accurate therapeutic drug monitoring (TDM) of antibiotics including ceftriaxone, ampicillin, and vancomycin plays an important role in the treatment of neonatal sepsis, a common and life-threatening disease in neonates. A highly sensitive surface-enh...
Prediction of Vancomycin-Associated Nephrotoxicity Based on the Area under the Concentration-Time Curve of Vancomycin: A Machine Learning Analysis.
Biological & pharmaceutical bulletin
Jan 1, 2024
Several machine learning models have been proposed to predict vancomycin (VCM)-associated nephrotoxicity; however, they have notable limitations. Specifically, they do not use the area under the concentration-time curve (AUC) as recommended in the la...
Critical Appraisal on the Role of Warfarin in the Current Era.
The Journal of the Association of Physicians of India
Oct 1, 2023
Warfarin has been the most extensively used oral anticoagulant (OAC) in medical settings for over 60 years. Its uses, potential adverse effects, and methods for reversing its effects have been firmly established, rendering it a routine medication in ...
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