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Prescriptions

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

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Showing 652-672 of 6,782 articles
Protein-protein interaction detection using deep learning: A survey, comparative analysis, and experimental evaluation.

This survey paper provides a comprehensive analysis of various Deep Learning (DL) techniques and alg...

Heparin in sepsis: current clinical findings and possible mechanisms.

Sepsis is a clinical syndrome resulting from the interaction between coagulation, inflammation, immu...

Transforming drug discovery: the impact of AI and molecular simulation on R&D efficiency.

The process of developing new drugs in the pharmaceutical industry is both time-consuming and costly...

Geometric Molecular Graph Representation Learning Model for Drug-Drug Interactions Prediction.

Drug-drug interaction (DDI) can trigger many adverse effects in patients and has emerged as a threat...

Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification.

Identifying circular RNA (circRNA)-drug sensitivity association (CDsA) is crucial for advancing drug...

Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networks.

Development of materials by mixing different base components is a widespread methodology to create m...

AI-based medication adherence prediction in patients with schizophrenia and attenuated psychotic disorders.

OBJECTIVE: The capacity of machine-learning algorithms to predict medication adherence was assessed ...

Nerve-Inspired Optical Waveguide Stretchable Sensor Fusing Wireless Transmission and AI Enabling Smart Tele-Healthcare.

Flexible strain monitoring of hand and joint muscle movement is recognized as an effective method fo...

On the role of visual feedback and physiotherapist-patient interaction in robot-assisted gait training: an eye-tracking and HD-EEG study.

BACKGROUND: Treadmill based Robotic-Assisted Gait Training (t-RAGT) provides for automated locomotor...

MIRD Pamphlet No. 31: MIRDcell V4-Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy.

Radiopharmaceutical cocktails have been developed over the years to treat cancer. Cocktails of agent...

Prediction of Medication-Related Osteonecrosis of the Jaw in Patients Receiving Antiresorptive Therapy Using Machine Learning Models.

BACKGROUND: Medication-related osteonecrosis of the jaw (MRONJ) is a serious complication associated...

Interpretable prediction of drug-drug interactions via text embedding in biomedical literature.

Polypharmacy is a promising approach for treating diseases, especially those with complex symptoms. ...

Needle in a haystack: Harnessing AI in drug patent searches and prediction.

The classification codes granted by patent offices are useful instruments for simplifying the bewild...

Predicting the physiological effects of multiple drugs using electronic health record.

Various computational models have been developed to understand the physiological effects of drug-dru...

Application of machine learning to identify risk factors for outpatient opioid prescriptions following spine surgery.

INTRODUCTION: Spine surgery is a common source of narcotic prescriptions and carries potential for l...

Data - Knowledge driven machine learning model for cancer pain medication decisions.

BACKGROUND: Cancer pain is one of the most common symptoms in cancer patients, and drug decision-mak...

Ultradense Electrochemical Chip and Machine Learning for High-Throughput, Accurate Anticancer Drug Screening.

Despite the potentialities of electrochemical sensors, these devices still encounter challenges in d...

Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network.

A mask identification and social distance monitoring system using Unmanned Aerial Vehicles (UAV) in ...

Inferring strain-level mutational drivers of phage-bacteria interaction phenotypes arising during coevolutionary dynamics.

The enormous diversity of bacteriophages and their bacterial hosts presents a significant challenge ...

CMINNs: Compartment model informed neural networks - Unlocking drug dynamics.

In the field of pharmacokinetics and pharmacodynamics (PKPD) modeling, which plays a pivotal role in...

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