Product Alert

Prescriptions

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

6,771 articles
Stay Ahead - Weekly Prescriptions research updates
Subscribe
Browse Specialties
Product-Alert Subcategories: Devices and Vaccines Prescriptions
Showing 526-546 of 6,771 articles
MAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling.

Computational target identification plays a pivotal role in the drug development process. With the s...

Deep Learning of CYP450 Binding of Small Molecules by Quantum Information.

Drug-drug interaction can lead to diminished therapeutic effects or increased toxicity, posing signi...

Continuous single-ended depth-of-interaction measurement using highly multiplexed signals and artificial neural networks.

. This study aims to enhance positron emission tomography (PET) imaging systems by developing a cont...

Single-cell RNA sequencing and machine learning provide candidate drugs against drug-tolerant persister cells in colorectal cancer.

Drug resistance often stems from drug-tolerant persister (DTP) cells in cancer. These cells arise fr...

InterDIA: Interpretable prediction of drug-induced autoimmunity through ensemble machine learning approaches.

Drug-induced autoimmunity (DIA) is a non-IgE immune-related adverse drug reaction that poses substan...

ESG introduction mechanism of construction firms based on Bayesian network coupled with machine learning: Evidence from Zhengzhou.

Chinese construction enterprises are at a pivotal point in their transition to sustainable developme...

Gait-to-Gait Emotional Human-Robot Interaction Utilizing Trajectories-Aware and Skeleton-Graph-Aware Spatial-Temporal Transformer.

The emotional response of robotics is crucial for promoting the socially intelligent level of human-...

HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning.

BACKGROUND: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to ...

MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for Drug-Drug Interactions.

Drug-drug interactions (DDIs) occur when multiple medications are co-administered, potentially leadi...

Deep learning methods for proteome-scale interaction prediction.

Proteome-scale interaction prediction is essential for understanding protein functions and disease m...

Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis.

: Recent research has focused on exploring the relationships between various factors associated with...

MMPD-DTA: Integrating Multi-Modal Deep Learning with Pocket-Drug Graphs for Drug-Target Binding Affinity Prediction.

Predicting drug-target binding affinity (DTA) is a crucial task in drug discovery research. Recent s...

Artificial intelligence in peptide-based drug design.

Protein-protein interactions (PPIs) are fundamental to a variety of biological processes, but target...

Artificial intelligence in drug development.

Drug development is a complex and time-consuming endeavor that traditionally relies on the experienc...

An in-depth review of AI-powered advancements in cancer drug discovery.

The convergence of artificial intelligence (AI) and genomics is redefining cancer drug discovery by ...

PPILS: Protein-protein interaction prediction with language of biological coding.

Protein-protein interactions within a cell are essential for various fundamental biological processe...

CPJN: News recommendation with a content and popularity joint network.

Users may click on a news because they are interested in its content or because the news contains im...

Advancements and Prospects in Nanorobotic Applications for Ophthalmic Therapy.

This study provides a bibliometric and bibliographic review of emerging applications of micro- and n...

Structure-Based Approaches for Protein-Protein Interaction Prediction Using Machine Learning and Deep Learning.

Protein-Protein Interaction (PPI) prediction plays a pivotal role in understanding cellular processe...

Browse Specialties