Latest AI and machine learning research in covid-19 for healthcare professionals.
High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which...
Structural variations (SVs), especially presence-absence variations (PAVs), are crucial in crop dome...
PURPOSE OF REVIEW: Skin and soft tissue infections (SSTIs) are one of the most frequent infections t...
PURPOSE OF REVIEW: Gonorrhea is the second most prevalent bacterial sexually transmitted infection g...
BACKGROUND: The fetal abdomen is crucial in prenatal screening, offering key insights into fetal gro...
Transfer learning from image to video has become a widely adopted strategy in action recognition. Ex...
The treatment of migraine is hampered by inter-individual variability, leading to an inefficient "tr...
BACKGROUND: Isocitrate dehydrogenase (IDH) mutation status is an important biomarker for the diagnos...
Type 2 diabetes is a polygenic, heterogeneous disease affecting over 530 million individuals worldwi...
Cancer is a disease that begins with genetic and epigenetic alterations occurring in specific cells,...
Accurate genomic prediction of agronomic traits is critical for modern breeding and agriculture. Dee...
Exome sequencing (ES) has transformed genomic research and clinical diagnostics by enabling precise ...
INTRODUCTION: Immunofixation electrophoresis (IFE) is the gold standard for identifying monoclonal p...
Genome-wide assessment of genetic variation is becoming routine in genetics, yet functional interpre...
OBJECTIVE: To evaluate a deep learning (DL)-based approach for predicting air-bone gap (ABG) from ty...
Advanced-stage lung squamous-cell carcinoma (LUSC) remains a therapeutic challenge. Although immune ...
This study aimed to develop a deep learning-based method for automatic segmentation of the pharyngea...
Necrophagous flies and beetles represent the two most forensically significant insect taxa. The pupa...
Early and accurate diagnosis of Alzheimer's disease (AD) is a major stride toward pharmacological in...
COVID-19 has had major global impacts, highlighting the importance of robust predictive surveillance...
OBJECTIVE: To develop a machine learning (ML) model to identify fiducial points on canine ECGs to lo...