Latest AI and machine learning research in prescriptions for healthcare professionals.
Errors in pharmacy medication directions, such as incorrect instructions for dosage or frequency, ca...
BACKGROUND: The potential uses of artificial intelligence have extended into the fields of health ca...
Artificial intelligence (AI) is revolutionizing drug discovery by enhancing precision, reducing time...
Artificial intelligence and machine learning enable the construction of predictive models, which are...
INTRODUCTION: Social media platforms serve as a valuable resource for users to share health-related ...
De novo drug design aims to generate molecules from scratch that possess specific chemical and pharm...
Knee rehabilitation therapy after trauma or neuromotor diseases is fundamental to restore the joint ...
BACKGROUND: Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites ...
Artificial intelligence is expected to help identify excellent candidates in drug discovery. However...
Although trust plays a vital role in human-robot interaction, there is currently a dearth of literat...
This study delves into the prediction of protein-peptide interactions using advanced machine learnin...
Drug repurposing is promising in multiple scenarios, such as emerging viral outbreak controls and co...
Neonatal brain inflammation produced by intraperitoneal (i.p.) injection of lipopolysaccharide (LPS)...
Predicting the probability of having the plan approved by the physician is important for automatic t...
At present, anti-cancer drug synergy therapy is one of the most important methods to overcome drug r...
Breast cancer, a highly formidable and diverse malignancy predominantly affecting women globally, po...
In this paper, we introduce in-depth the analysis of CNNs and ViT architectures in medical images, w...
Biomedical texts provide important data for investigating drug-drug interactions (DDIs) in the field...
Metal-organic frameworks (MOFs) have shown excellent performance in the field of drug delivery. Desp...
Detecting the unintended adverse reactions of drugs (ADRs) is a crucial concern in pharmacological r...
Personalized medicine aims to effectively and efficiently provide customized drugs that cater to div...