Latest AI and machine learning research in prescriptions for healthcare professionals.
This study aims to conduct a comprehensive and in-depth analysis of the marketing performance of e-commerce live broadcast platforms based on big data management technology and deep learning. Firstly, by synthesizing large-scale datasets and surveys, the study constructs a series of performance evaluation indicators including user participation, content quality, commodity sales effect, user satisf...
Machine learning has revolutionized drug discovery by enabling the exploration of vast, uncharted chemical spaces essential for discovering novel patentable drugs. Despite the critical role of human G protein-coupled receptors in FDA-approved drugs, exhaustive in-distribution drug-target interaction testing across all pairs of human G protein-coupled receptors and known drugs is rare due to signif...
The diverse chemical components of traditional Chinese medicine (TCM) exhibit significant therapeutic potential; however, the action mechanisms of the...
Aiming at the student-centered online music learning platform, this study proposes a Course Recommendation Model for Student Learning Interest Evoluti...
Despite its importance to society and many decades of research, key questions about the social and psychological processes of political persuasion rem...
Dynamic treatment regimes (DTRs), which comprise a series of decisions taken to select adequate treatments, have attracted considerable attention in t...
The high doses of bone morphogenetic proteins (BMPs) cause undesired side effects in skeletal tissue regeneration. An alternative approach is to use t...
This study looked at possible targets for hypertrophic cardiomyopathy (HCM), a condition marked by thickening of the ventricular wall, primarily in th...
Supernumerary robotic finger (SRF) has shown unique advantages in the field of motor augmentation and rehabilitation, while the development of brain c...
In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents to alleviate stress and enhance emotional well-be...
With the growing demand for personalized marketing, recommender systems have become essential tools to help users quickly discover products or content...
With the rapid development of artificial intelligence technology, digital human education platforms have become a research hotspot in education. This ...
Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at high risk for suicidal behavior. As a result, mac...
Artificial Intelligence (AI) is applied in this research for the analysis of a novel green method for production of nanomedicine. The method is based ...
Understanding Cd contamination in the soil-rice ecosystem and the underlying its threshold and interaction effects is crucial for controlling Cd pollu...
Previous works have shown the potential of immersive technologies to make physical activities a more engaging experience. With encountered-type haptic...
The lack of haptic feedback in touchless human-robot interaction is critical in applications such as robotic ultrasound, where force perception is cru...
The use of machine learning algorithms and artificial intelligence in medicine has attracted significant interest due to its ability to aid in predict...
OBJECTIVES: Despite substantial advancements in both treatment and prevention, colorectal cancer continues to be a leading cause of global morbidity a...
Recognition of Human Actions (HAR) Portrays a crucial significance in various applications due to its ability for analyzing behaviour of humans within...