Latest AI and machine learning research in prescriptions for healthcare professionals.
Several experimental evidences have shown that the human endogenous hormones can interact with drugs...
Dual panel PET systems, such as Breast-PET (B-PET) scanner, exhibit strong asymmetric and anisotropi...
A 63-year-old man with stage 3a chronic kidney disease (CKD) and mild hyperkalemia was scheduled for...
Human beings encompass sophisticated microcirculation and microenvironments, incorporating a broad s...
This pilot study explored whether a socially assistive robot (SAR) would have positive effects on Ko...
(1) Background: Cancer stem cells (CSCs) are a subpopulation of cells in a tumor that can self-regen...
BACKGROUND: Warfarin is a widely prescribed anticoagulant in the clinic. It has a more considerable ...
Refractive errors (RE) are commonly reported visual impairment problems worldwide. Previous clinical...
Developing new drugs is too expensive and time -consuming. Accurately predicting the interaction bet...
The death of brain cells occurs when blood flow to a particular area of the brain is abruptly cut of...
Drug combination therapy shows promise in cancer treatment by addressing drug resistance, reducing t...
Drug discovery relies on the precise prognosis of drug-target interactions (DTI). Due to their abili...
The COVID-19 pandemic has thrust RNA as a platform for drug development into the spotlight. However,...
In vitro systems that accurately model in vivo conditions in the gastrointestinal tract may aid the ...
Modern multiomic technologies can generate deep multiscale profiles. However, differences in data mo...
Medicinal chemistry and drug design efforts can be assisted by machine learning (ML) models that rel...
The Industry 5.0 paradigm has a human-centered vision of the industrial scenario and foresees a clos...
Drug-to-drug interaction (DDIs) occurs when a patient consumes multiple drugs. Therefore, it is poss...
In the past three decades, interest in using carbon-based nanomaterials (CBNs) in biomedical applica...
Drug discovery plays a critical role in advancing human health by developing new medications and tre...
Curating and integrating data from sources are bottlenecks to procuring robust training datasets for...