Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
There is a long history of traditional medicine use. In addition, we summarize the nuclear and organelle genome assemblies of commonly used medicinal plants, choose several examples from genomics, tra...
Having worked with two large population sequencing initiatives, the separation between the potential for genomics in precision medicine and the current reality have become clear. Our current path has...
Precision lifestyle medicine is a relatively new field in primary care, based on the hypothesis that genetic predispositions influence an individual's response to specific interventions such as diet,...
Patients with chronic kidney disease (CKD) are at increased risk for adverse drug events due to medication dosing errors. Overall, awareness and knowledge were poor among IMHS for dose adjustments of...
We appraised the scope of medical genetics and genomics concepts covered in the pre-clerkship programs of Canadian faculties of medicine through an analysis of course objectives. Coverage of medical g...
Segmentation of medical images has been the most demanding and growing area currently for analysis of medical images. The efficiency of the algorithms is measured by using metrics such as Dice Similar...
The application of radiogenomics in oncology has great prospects in precision medicine. In this review, we summarized recent research on radiogenomics applications in solid cancers and presented the c...
There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). GatorTron models scale up the clinical language model from...
As a revolutionary paradigm for controlling wireless channels, reconfigurable intelligent surfaces (RISs) have emerged as a candidate technology for future 6G networks. Finally, we formulate the sum-r...
Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. Our results, which we have made publicly availabl...
This research explores Principal component analysis, contributing new insights to the field of Artificial Intelligence.
Diabetic foot ulcers (DFU) are a major source of preventable morbidity in adults with diabetes. Prevention and early detection of DFU through guideline-directed multidisciplinary care is critical to d...
Abstract The development of electrocatalysts capable of efficient reduction of nitrate (NO 3 − ) to ammonia (NH 3 ) is drawing increasing interest for the sake of low carbon emission and environmental...
Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. The results present the current focus of AIEd research by identifying 13 ro...
Camillo Golgi (Figure 1) is one of the most prestigious personalities of modern medicine [...].
Aging is a gradual and irreversible pathophysiological process. Current research on aging focuses on elucidating how various endogenous and exogenous stresses (such as genomic instability, telomere dy...
Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. The experimental results...
Abstract The initial hype and fanfare from the Meta Platforms view of how the metaverse could be brought to life has evolved into an ongoing discussion of not only the metaverse's impact on users and...
Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. The proposed UIU-Net also produces powerful generalization performance for video s...
The personalized medicine is based on suggestion that each person has unique characteristics at molecular, physiological, ecological and behavioral levels. The future challenges consist not only in lo...