AIMC Topic: Acetaminophen
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QCL Infrared Spectroscopy Combined with Machine Learning as a Useful Tool for Classifying Acetaminophen Tablets by Brand.
Molecules (Basel, Switzerland)
Jul 28, 2024
The development of new methods of identification of active pharmaceutical ingredients (API) is a subject of paramount importance for research centers, the pharmaceutical industry, and law enforcement agencies. Here, a system for identifying and class...
Identification and validation of cuproptosis-related genes in acetaminophen-induced liver injury using bioinformatics analysis and machine learning.
Frontiers in immunology
Jun 27, 2024
BACKGROUND: Acetaminophen (APAP) is commonly used as an antipyretic analgesic. However, acetaminophen overdose may contribute to liver injury and even liver failure. Acetaminophen-induced liver injury (AILI) is closely related to mitochondrial oxidat...
AI-driven design of customized 3D-printed multi-layer capsules with controlled drug release profiles for personalized medicine.
International journal of pharmaceutics
Apr 12, 2024
Personalized medicine aims to effectively and efficiently provide customized drugs that cater to diverse populations, which is a significant yet challenging task. Recently, the integration of artificial intelligence (AI) and three-dimensional (3D) pr...
Deep learning neural network derivation and testing to distinguish acute poisonings.
Expert opinion on drug metabolism & toxicology
Jul 17, 2023
INTRODUCTION: Acute poisoning is a significant global health burden, and the causative agent is often unclear. The primary aim of this pilot study was to develop a deep learning algorithm that predicts the most probable agent a poisoned patient was e...
Chemometric quality assessment of Paracetamol and Phenylephrine Hydrochloride with Paracetamol impurities; comparative UV-spectrophotometric implementation of four predictive models.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Sep 2, 2021
Spectrophotometric data analysis using multivariate approaches has many useful applications. One of these applications is the analysis of active ingredients in presence of impurities. Four chemometric-assisted spectrophotometric methods, namely, prin...
An artificial intelligence algorithm for analyzing acetaminophen-associated toxic hepatitis.
Human & experimental toxicology
May 6, 2021
INTRODUCTION: Very little artificial intelligence (AI) work has been performed to investigate acetaminophen-associated hepatotoxicity. The objective of this study was to develop an AI algorithm for analyzing weighted features for toxic hepatitis afte...
Spectral resolution of quaternary components in a sinus and congestion mixture; Multivariate algorithms to approach extremes of concentration levels.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
May 16, 2020
Sinus and congestion mixture of three drugs and an impurity was studied for their spectral resolution using four multivariate algorithms. The studied drugs present in extremes of low and high concentrations. Low concentration levels of phenylephrine ...
Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.
Computer methods and programs in biomedicine
Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Treatment Outcome
Predictive Value of Tests
Area Under Curve
Linear Models
Acetaminophen
Bayes Theorem
Registries
Middle Aged
Databases, Factual
Severity of Illness Index
Prognosis
ROC Curve
Retrospective Studies
Adult
Female
Sensitivity and Specificity
Humans
Liver Failure, Acute
Male
Machine Learning
Robotic microplate voltammetry for real-time hydrogel drug release testing.
Analytica chimica acta
Aug 20, 2018
Robotic square wave voltammetry (SVW) in 24-well microtiter plates has been developed as a reliable non-manual procedure for quantifying drug release from pharmaceutical hydrogels. The assay was established using 1% agarose disks containing Paracetam...
General Method for the Identification of Crystal Faces Using Raman Spectroscopy Combined with Machine Learning and Application to the Epitaxial Growth of Acetaminophen.
Langmuir : the ACS journal of surfaces and colloids
Aug 9, 2018
Crystal morphology is one of the key crystallographic characteristics that governs the macroscopic properties of crystalline materials. The identification of crystal faces, or face indexing, is an important technique that is used to get information r...
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