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Prescriptions

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

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Product-Alert Subcategories: Devices and Vaccines Prescriptions
Showing 127-147 of 6,756 articles
Drug-target interaction/affinity prediction: Deep learning models and advances review.

Drug discovery remains a slow and expensive process that involves many steps, from detecting the tar...

Comparative analysis of model compression techniques for achieving carbon efficient AI.

The growing computational demands of models, such as BERT, have raised concerns about their environm...

Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction.

Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehen...

Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations.

This study introduces a sophisticated predictive framework for determining drug solubility and activ...

An EEG-based seizure prediction model encoding brain network temporal dynamics.

EEG-based seizure prediction enables timely treatment for patients, but its performance is limited b...

LLM-DDI: Leveraging Large Language Models for Drug-Drug Interaction Prediction on Biomedical Knowledge Graph.

Drug-drug interaction (DDI) refers to the interaction relationships between drugs. Discovering new D...

Assessment of drug induced hyperuricemia and gout risk using the FDA adverse event reporting system.

Hyperuricemia, the key pathological basis of gout, is increasingly prevalent worldwide. While lifest...

Improved bio-inspired with machine learning computing approach for thyroid prediction.

Thyroid illness is widely recognised as a prevalent health condition that can result in a range of h...

Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy pr...

Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application.

A combined methodology was performed based on chemometrics and machine learning regressive models in...

Self-Healing Triboelectric Sensors with Enhanced Durability for Gesture Recognition and Human-Machine Interaction.

The emergence of triboelectric nanogenerators (TENGs) has significantly developed the landscape of w...

AI-Driven Integration of Transcriptomics, Quantum Mechanics, and Physiology for Predicting Drug-Induced Liver Injury in Data-Limited Scenarios.

Drug-induced liver injury (DILI) is a significant concern with prescription medications and suppleme...

Multiclass semantic segmentation for prime disease detection with severity level identification in Citrus plant leaves.

Agriculture provides the basics for producing food, driving economic growth, and maintaining environ...

Deep learning based knowledge tracing in intelligent tutoring systems.

The emergence of online education, e.g., intelligent tutoring system (ITS), complements or partially...

Deep learning-driven drug response prediction and mechanistic insights in cancer genomics.

In the field of cancer therapy, the diversity and heterogeneity of cancer genomes in clinical patien...

Linker-GPT: design of Antibody-drug conjugates linkers with molecular generators and reinforcement learning.

The stability and therapeutic efficacy of antibody-drug conjugates (ADCs) are critically determined ...

Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework.

Effective student performance evaluation is essential for improving education, especially in higher ...

Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods.

Given artificial intelligence's transformative effects, studying safety is important to ensure it is...

Human protein interaction networks of ancestral and variant SARS-CoV-2 in organ-specific cells and bodily fluids.

Understanding SARS-CoV-2 human protein-protein interactions (PPIs) and the host response to infectio...

A genotype-to-drug diffusion model for generation of tailored anti-cancer small molecules.

Despite advances in precision oncology, developing effective cancer therapeutics remains a significa...

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