Latest AI and machine learning research in prescriptions for healthcare professionals.
Identifying interactions between candidate antibodies and target antigens is a key step in developin...
The prediction of circular RNA (circRNA)-drug associations plays a crucial role in understanding dis...
BACKGROUND: Dispensing errors significantly contribute to adverse drug events, resulting in substant...
Recently, deep learning models have demonstrated impressive performance in Automatic Joint Lesion De...
Accurate detection and prevalence estimation of behavioral health conditions, such as opioid use dis...
Prediction of drug-target interactions (DTIs) is one of the crucial steps for drug repositioning. Id...
The medical community has grappled with the challenge of analysis and early detection of severe and ...
Tumor heterogeneity presents a significant challenge in predicting drug responses, especially as mis...
Anticancer drug response prediction is crucial in developing personalized treatment plans for cancer...
Coronary heart disease (CHD) is the world's leading cause of death, contributing to a high mortality...
Transformer-based vision models are often assumed to have an advantage over traditional convolutiona...
A variety of classical machine learning (ML) approaches has been developed over the past decade aimi...
Drug discovery, a multifaceted process from compound identification to regulatory approval, historic...
Drug discovery and development is very expensive and long with an inferior success rate. It is quite...
The lengthy and costly drug discovery process is transformed by deep learning, a subfield of artific...
The benign and malignant discrimination of pulmonary nodules plays a very important role in diagnosi...
Estimating 3D hand poses from monocular RGB images presents a series of challenges, including comple...
Allergic rhinitis is a devastating health complication that interrupts the quality of daily life and...
Development of antibodies often begins with the assessment and optimization of their physicochemical...
This paper investigates delivery of encapsulated drug from poly lactic-co-glycolic micro-/nano-parti...
Drug-drug interactions (DDIs) can result in deleterious consequences when patients take multiple med...