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Prescriptions

Latest AI and machine learning research in prescriptions for healthcare professionals.

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Showing 1198-1218 of 6,815 articles
Quercetin Exerts Anticonvulsant Effect through Mitigation of Neuroinflammatory Response in Pentylenetetrazole-induced Seizure in Mice.

Epilepsy is a chronic disease of the brain characterized by seizures. The currently available antico...

Human-Robot Joint Misalignment, Physical Interaction, and Gait Kinematic Assessment in Ankle-Foot Orthoses.

Lower limb exoskeletons and orthoses have been increasingly used to assist the user during gait reha...

Prospective Antiviral Effect of Aqueous Extract against COVID-19 Infection.

Marine algal extracts exhibit a potent inhibitory effect against several enveloped and non-enveloped...

AS-NeSt: A Novel 3D Deep Learning Model for Radiation Therapy Dose Distribution Prediction in Esophageal Cancer Treatment With Multiple Prescriptions.

PURPOSE: Implementing artificial intelligence technologies allows for the accurate prediction of rad...

An effective framework for predicting drug-drug interactions based on molecular substructures and knowledge graph neural network.

Drug-drug interactions (DDIs) play a central role in drug research, as the simultaneous administrati...

Increased Absorption and Inhibitory Activity against spp. of Imidazole Derivatives in Synergistic Association with a Surface Active Agent.

This paper's purpose was to evaluate the interaction between three imidazole derivatives, (2-methyl-...

Antioxidant activity of fermentation mycelia contributions of different solvent extractions and their inhibitory effect on α-amylase.

spp. have historically been used as traditional medicines to treat various diseases owing to their ...

Novel Modular Walking Orthosis (MOWA) for Powerful Correction of Gait Deviations in Subjects with a Neurological Disease.

This article introduces a novel concept where advanced technologies have been leveraged to produce a...

MASP-2 deficiency does not prevent the progression of diabetic kidney disease in a mouse model of type 1 diabetes.

Mannan-binding lectin (MBL) initiates the lectin pathway of complement and has been linked to albumi...

Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks.

Proteins usually perform their cellular functions by interacting with other proteins. Accurate ident...

A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs.

Predicting drug side effects before they occur is a critical task for keeping the number of drug-rel...

Multitype Perception Method for Drug-Target Interaction Prediction.

With the growing popularity of artificial intelligence in drug discovery, many deep-learning technol...

DRLM: A Robust Drug Representation Learning Method and its Applications.

Learning representations from data is a fundamental step for machine learning. High-quality and robu...

Identification, synthesis, and characterization of an unprecedented N-(2-carboxyethyl) adduct impurity in an injectable ganirelix formulation.

Ganirelix, a peptide-based drug used to treat female infertility, has been in high market demand, wh...

AIDDISON: Empowering Drug Discovery with AI/ML and CADD Tools in a Secure, Web-Based SaaS Platform.

The widespread proliferation of artificial intelligence (AI) and machine learning (ML) methods has a...

Comprehensive Review of Drug-Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities.

Detecting drug-drug interactions (DDIs) is an essential step in drug development and drug administra...

The gait1415+2 OpenSim musculoskeletal model of transfemoral amputees with a generic bone-anchored prosthesis.

This short communication presents the gait1415+2 musculoskeletal model, that has been developed in O...

Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis.

In the dynamic landscape of drug discovery, Computer-Aided Drug Design (CADD) emerges as a transform...

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