Latest AI and machine learning research in prescriptions for healthcare professionals.
Drug combination therapy is promising for cancer treatment by reducing resistance and improving effi...
The development of novel drugs increasingly relies on advanced omics technologies, including genomic...
Managing Parkinson's disease (PD) through medication can be challenging due to varying symptoms and ...
BACKGROUND: Large language models have undergone vast development in recent years. The advent of lar...
Drug repurposing presents a promising strategy to accelerate drug discovery by identifying new thera...
Drug-target interactions (DTIs) play a critical role in drug discovery and repurposing. Deep learnin...
Protein embeddings are the new main source of information about proteins, producing state-of-the-art...
Emerging pharmaceutical markets like Brazil, India, and China have seen significant growth due to ri...
Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environme...
Predicting the temperature of the coal spontaneous combustion (CSC) is essential for preventing and ...
Self-interpreting neural networks have attracted significant attention from the research community. ...
BACKGROUND: Menopausal hormone therapy (MHT) is generally thought to be neuroprotective, yet results...
Exploring the interaction configurations between substrates and atomic or molecular systems is cruci...
Predicting drug-drug interactions (DDI) is crucial for preventing adverse reactions in patients and ...
Bioavailability prediction remains a significant challenge in early-stage drug development, where co...
Generative Artificial Intelligence (Generative AI) is transforming drug discovery by enabling advanc...
Accurately estimating the chemical composition of dietary intake is essential for health and nutriti...
Machine learning (ML) techniques are rapidly being applied to drug-assisted design. In order to prov...
BACKGROUND: Potentially inappropriate prescribing in outpatient care contributes to adverse outcomes...
Artificial intelligence (AI) applications are finding use in real-world neurological settings. Where...
Despite the growing presence of artificial intelligence (AI)-based agents in human daily life, there...