Latest AI and machine learning research in prescriptions for healthcare professionals.
Identifying individuals at clinical high risk for psychosis (CHRP) is crucial for preventing psychos...
The manufacturing of pharmaceutical solid dosage forms, such as tablets involves a large number of s...
In line with the digital transformation trend in medical training, students may resort to artificial...
This study investigates the impact of air pollution on health outcomes in Middle Eastern countries, ...
Graph Neural Networks (GNNs) are playing an increasingly vital role in the field of recommender syst...
BACKGROUND: Robotic technologies present challenges to health care professionals and are therefore r...
Real-world data (RWD) in the medical field, such as electronic health records (EHRs) and medication ...
The pioneering work on liposomes in the 1960s and subsequent research in controlled drug release sys...
Nocturnal enuresis is a bothersome condition that affects many children and their caregivers. Post-v...
Miniature robots are untethered actuators, which have great prospects to transform targeted drug del...
Phosphorylation is a substantial posttranslational modification of proteins that refers to adding a ...
Given their central role in signal transduction, protein kinases (PKs) were first implicated in canc...
Shoe prints are one of the most common types of evidence found at crime scenes, second only to finge...
This research explores prospective determinants of trust in the recommendations of artificial agents...
Despite significant advances in the deep clustering research, there remain three critical limitation...
As a common disease, cardiovascular and cerebrovascular diseases pose a great harm threat to human w...
The classification of missense variant pathogenicity continues to pose significant challenges in hum...
Drug therapy remains the primary approach to treating tumours. Variability among cancer patients, in...
Compared to pixel-level content loss, domain-level style loss in CycleGAN-based dehazing algorithms ...
Antimicrobial resistance (AMR) is a major threat to public health worldwide. It is a promising way t...
Natural polyphenols, abundant in the human diet, are derived from a wide variety of sources. Numerou...