Product Alert

Prescriptions

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

6,756 articles
Stay Ahead - Weekly Prescriptions research updates
Subscribe
Browse Specialties
Product-Alert Subcategories: Devices and Vaccines Prescriptions
Showing 442-462 of 6,756 articles
Harnessing machine learning for rational drug design.

A crucial part of biomedical research is drug discovery, which aims to find and create innovative me...

Radiotherapy dose prediction using off-the-shelf segmentation networks: A feasibility study with GammaPod planning.

BACKGROUND: Radiotherapy requires precise, patient-specific treatment planning to achieve high-quali...

AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women.

Topic modeling is a crucial technique in natural language processing (NLP), enabling the extraction ...

Targeting Bacterial RNA Polymerase: Harnessing Simulations and Machine Learning to Design Inhibitors for Drug-Resistant Pathogens.

The increase in antimicrobial resistance presents a major challenge in treating bacterial infections...

The EU project Real4Reg: unlocking real-world data with AI.

BACKGROUND: The use of real-world data is established in post-authorization regulatory processes suc...

Large Model Era: Deep Learning in Osteoporosis Drug Discovery.

Osteoporosis is a systemic microstructural degradation of bone tissue, often accompanied by fracture...

SynthMol: A Drug Safety Prediction Framework Integrating Graph Attention and Molecular Descriptors into Pre-Trained Geometric Models.

Drug safety is affected by multiple molecular properties and safety assessment is critical for clini...

Recent advances in AI-driven protein-ligand interaction predictions.

Structure-based drug discovery is a fundamental approach in modern drug development, leveraging comp...

A new era of psoriasis treatment: Drug repurposing through the lens of nanotechnology and machine learning.

Psoriasis is a persistent inflammatory skin disorder characterized by hyper-proliferation and abnorm...

DTF-diffusion: A 3D equivariant diffusion generation model based on ligand-target information fusion.

The goal of drug discovery based on deep learning is to generate drug molecules that bind to a given...

Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study.

BACKGROUND: Classical approaches to subgroup analysis in randomised controlled trials (RCTs) to iden...

AI-Driven Analysis of Drug Marketing Efficiency: Unveiling FDA Approval to Market Release Dynamics.

This paper explores a novel approach using generative AI to enhance drug marketing strategies in the...

Advertising or adversarial? AdvSign: Artistic advertising sign camouflage for target physical attacking to object detector.

Deep learning models are often vulnerable to adversarial attacks in both digital and physical enviro...

Attention-augmented multi-domain cooperative graph representation learning for molecular interaction prediction.

Accurate identification of molecular interactions is crucial for biological network analysis, which ...

Hyperbolic multivariate feature learning in higher-order heterogeneous networks for drug-disease prediction.

New drug discovery has always been a costly, time-consuming process with a high failure rate. Repurp...

Utilizing machine learning for predicting drug release from polymeric drug delivery systems.

Polymeric drug delivery systems (PDDS) play a crucial role in controlled drug release, providing imp...

Convolutional neural network for gesture recognition human-computer interaction system design.

Gesture interaction applications have garnered significant attention from researchers in the field o...

Browse Specialties