Latest AI and machine learning research in prescriptions for healthcare professionals.
High-throughput screening for inhibitors of protein-protein interactions (PPIs) provides vital infor...
OBJECTIVE: The current study assessed pharmacy students' perceptions about generative AI before and ...
BACKGROUND: Artificial intelligence (AI)-based systems are receiving increasing attention in the hea...
Leveraging the wealth of biomedical data available, we can derive insights into the relationships be...
BACKGROUND: Abbreviated breast MRI protocols are advocated for breast screening as they limit acquis...
Process scores in neuropsychological tests add incremental validity for detecting non-normative cog...
We investigate the intricate relationships between sustainable markets, artificial intelligence (AI)...
Our aim is to evaluate the association of prenatal exposure to per- and polyfluoroalkyl substances (...
This study investigates the influence of generative artificial intelligence (GAI) on university stud...
Coal mine roof accidents are one of the main types of accidents leading to the decline of coal mine ...
Ferroptosis and lethal sepsis are interlinked, although this association remains largely unknown to ...
The opioid crisis presents a significant burden to patients and healthcare systems. Orthopaedic surg...
Accurate prediction of drug side effect frequencies is critical for drug safety assessment but remai...
The increasing prevalence of drug resistance (DR) and pesticide resistance poses a significant threa...
BACKGROUND: Stroke and its related complications, place significant burdens on human society in the ...
Beam orientation optimization (BOO) in intensity-modulated radiation therapy (IMRT) is a complex, no...
BACKGROUND: Accurately predicting synergistic drug combinations is critical for complex disease ther...
This study developed a deep learning model for the automated detection and classification of impacte...
Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...
Exploring drug-target interactions (DTIs) is crucial for drug discovery. Most existing methods for p...
Predicting drug responses using genetic and transcriptomic features is crucial for enhancing persona...