Latest AI and machine learning research in prescriptions for healthcare professionals.
BACKGROUND: The accurate identification and classification of drug-drug interactions (DDIs) are crit...
Enzyme inhibition plays a crucial role in drug discovery by governing interactions between molecules...
Predicting potential drug-drug interactions (DDIs) from biomedical data plays a critical role in dru...
CONTEXT: Targeted drug delivery systems leveraging gold nanoparticles (AuNPs) demand precise atomic-...
Idiopathic pulmonary fibrosis (IPF) and pulmonary hypertension (PH) are two chronic conditions that ...
Non-adherence to medications is a critical concern since nearly half of patients with chronic illnes...
Falls among the elderly and especially those with NeuroDegenerative Disorders (NDD) reduces life exp...
The forecasting of drug-target interactions (DTIs) is a crucial element in the domain of drug reposi...
Determining accurate drug dissolution processes in the gastrointestinal tract is critical in drug di...
Concurrent developments in robotic design and natural language processing (NLP) have enabled the pro...
Many tasks in forensic examination of handwritten documents require classification of writing instru...
Two-dimensional black-phosphorus-like materials with a re-entrant structure have been reported exhib...
BACKGROUND: Accurate identification of drug-drug interactions (DDIs) is critical in pharmacology, as...
Gay, bisexual, and other men who have sex with men (MSM) account for 60% of new HIV infections among...
Protein-protein interactions (PPIS) are critical in proteostasis, stress response, and disease progr...
Age-related hearing loss (ARHL) is one of the most common health conditions among the elderly popula...
This study investigates the effect of transformer encoder architecture on the classification accurac...
This study develops and evaluates advanced hybrid machine learning models-ADA-ARD (AdaBoost on ARD R...
Drug-Target Interaction (DTI) prediction is a vital task in drug discovery, yet it faces significant...
Drug-Target Interaction (DTI) prediction plays a pivotal role in accelerating drug discovery and dev...
Model-informed drug development (MIDD) methods play critical role to ensure development of efficacio...