A clinical study of morphological patterns of cutaneous adverse drug reaction and its causality assessment in tertiary care hospital of central India [PDF]
Background: Adverse reactions to drugs are as old as drug. Cutaneous adverse drug reactions are the most common type of drug reaction. Most cutaneous adverse drug reactions are important as they are frequently the reason for discontinuation of drug ...
Shende, Tanaji R., Siddiqui, Riyaz A.
core +2 more sources
A Data Driven Approach to Profile Potential SARS-CoV-2 Drug Interactions Using TylerADE [PDF]
We use a data driven approach on a cleaned adverse drug reaction database to determine the reaction severity of several covid-19 drug combinations currently under investigation.
Boyett, Matthew+4 more
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Objective: To study the prescribing pattern of antipsychotic drugs in the outpatient department of psychiatry in Silchar Medical College and Hospital (SMCH) of Assam.
Pinaki Chakravarty+2 more
doaj +1 more source
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction
Social media is an useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance.
Gupta, Shashank+4 more
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Social context prevents heat hormetic effects against mutagens during fish development
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere+5 more
wiley +1 more source
Montelukast Prevents Mice Against Acetaminophen-Induced Liver Injury
Acetaminophen (APAP) is a widely used over-the-counter antipyretic and analgesic drug. Overdose of APAP is the leading cause of hospital admission for acute liver failure.
Shiyun Pu+9 more
doaj +1 more source
Adverse Drug Reaction Classification With Deep Neural Networks [PDF]
We study the problem of detecting sentences describing adverse drug reactions (ADRs) and frame the problem as binary classification. We investigate different neural network (NN) architectures for ADR classification.
He, Yulan+3 more
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Circulating histones as clinical biomarkers in critically ill conditions
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez+17 more
wiley +1 more source
Kejadian Reaksi Obat Yang Tidak Dikehendaki Yang Menyebabkan Pasien Usia Lanjut Dirawat Di Ruang Perawatan Penyakit Dalam Instalasi Rawat Inap B Rumah Sakit Dr. Cipto Mangunkusumo [PDF]
Objectives. To determine the prevalence of adverse drug reaction related hospital ad-missions in geriatric patients, to describe the most frequent clinical manifestationsand the drugs responsible to adverse drug reaction related hospital admissions ...
Andrajati, R. (Retnosari)+3 more
core
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source