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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 316-336 of 6,756 articles
A random forest-based predictive model for classifying BRCA1 missense variants: a novel approach for evaluating the missense mutations effect.

The right classification of variants is the key to pre-symptomatic detection of disease and conducti...

Functional connectivity anomalies in medication-naive children with ADHD: Diagnostic potential, symptoms interpretation, and a mediation model.

OBJECTIVE: To identify reliable electroencephalography (EEG) biomarkers for attention deficit/hypera...

DrugGen enhances drug discovery with large language models and reinforcement learning.

Traditional drug design faces significant challenges due to inherent chemical and biological complex...

Artificial intelligence in preclinical research: enhancing digital twins and organ-on-chip to reduce animal testing.

Artificial intelligence (AI) is reshaping preclinical drug research offering innovative alternatives...

Complementing but Not Replacing: Comparing the Impacts of GPT-4 and Native-Speaker Interaction on Chinese L2 Writing Outcomes.

This study explored the efficacy of large language models (LLMs), namely GPT-4, in supporting second...

Understanding Robot Gesture Perception in Children with Autism Spectrum Disorder during Human-Robot Interaction.

Social robots are increasingly being used in therapeutic contexts, especially as a complement in the...

Ligand-Based Drug Discovery Leveraging State-of-the-Art Machine Learning Methodologies Exemplified by Cdr1 Inhibitor Prediction.

Artificial intelligence (AI) is revolutionizing drug discovery with unprecedented speed and efficien...

Machine learning approaches for assessing medication transfer to human breast milk.

The human milk/plasma (M/P) drug concentration ratio is crucial in pharmacology, especially for brea...

Changes in recreational drug use, reasons for those changes and their consequence during and after the COVID-19 pandemic in the UK.

Changes in drug use in the general population during the COVID-19 pandemic and their long-term conse...

Depth-of-interaction encoding techniques for pixelated PET detectors enabled by machine learning methods and fast waveform digitization.

. Pixelated detectors with single-ended readout are routinely used by commercial positron emission t...

Towards improved prescription metrics in novel radiotherapy techniques: a machine learning study.

FLASH radiotherapy (RT), microbeam RT (MRT) and minibeam RT (MBRT) are novel RT techniques that have...

GCPNet: An interpretable Generic Crystal Pattern graph neural Network for predicting material properties.

To predict material properties from crystal structures, we introduce a simple yet flexible Generic C...

Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases.

In this study, we evaluate the performance of four deep learning models, EfficientNetB0, ResNet50, D...

Clinical prediction models for medication adverse events in patients with rheumatic and musculoskeletal conditions: A systematic literature review.

OBJECTIVES: This systematic review aims to identify, summarize, and evaluate the methodological qual...

Machine Learning for Predicting the Drug-to-Antibody Ratio (DAR) in the Synthesis of Antibody-Drug Conjugates (ADCs).

The pharmaceutical industry faces challenges in developing efficient and cost-effective drug deliver...

A potential supplemental indication of dipyridamole for contraception: Dipyridamole inhibits mouse sperm fertilization capacity in vitro.

The inhibition of sperm cAMP and ATP levels, using an FDA-approved medication, may impair sperm moti...

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