Latest AI and machine learning research in covid-19 for healthcare professionals.
This paper presents a hybrid model based on deep learning for the detection and instance segmentation of defects in honeycombs of concrete structures with YOLOv5 and Mask R-CNN. The approach combines the fast object detection feature of YOLOv5 with the precise instance segmentation feature of Mask R-CNN to effectively resolve and localize defect areas in structural images. A silicon dataset contai...
PANoptosis is closely associated with tumorigenesis and therapeutic response, yet its role in multiple myeloma (MM) remains unclear. This study analyzed bulk transcriptomic and clinical data from the TCGA and GEO databases to identify seven PANoptosis-related genes (PRGs) using machine learning (LASSO regression and random forest models) and univariate Cox analysis, and constructed a prognostic ri...
Nasopharyngeal carcinoma (NPC) is the most prevalent type of head- and -neck cancer, and its diagnosis and treatment are currently facing significant ...
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and circulating viruses, it is important to assess th...
Cholesterol metabolism-related genes (CMRGs) have been associated with osteoarthritis (OA), but their specific regulatory mechanisms remain unclear. T...
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respiratory diseases. We used an archive of COVID-19 dat...
The universal demand for the development and deployment of responsive medical infrastructure and damage control techniques, including the application ...
Artificial intelligence (AI) has emerged as a transformative tool in ophthalmology for disease diagnosis and prognosis. However, use of AI for assessi...
Acute myocardial infarction (AMI) poses a significant global mortality burden. Utilizing bio informatics, this study explored cellular aging-related g...
Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segmentation generally requires manually annotated segmen...
Cattle health monitoring and management systems are essential for farmers and veterinarians, as traditional manual health checks can be time-consuming...
Clear cell renal cell carcinoma (ccRCC) represents a prevalent malignant kidney tumor characterized by high metastatic potential and recurrence rates....
With increasing awareness of healthy living and social pressure, more and more people have begun to pay attention to their sleep state. Most existing ...
Mitochondria play a crucial role in cellular respiration and immune responses. Mitochondrial DNA (mtDNA) haplogroups and variants have been associated...
DNA storage has been widely considered as a promising alternative for exponentially growing data. However, the inherent complex secondary structures s...
Here we propose CovSF, a deep learning model designed to track and forecast short-term severity progression of COVID-19 patients using longitudinal cl...
BACKGROUND: Investigating the functional impact of genomic variants is essential to uncover the molecular mechanisms behind complex traits. This study...
Monitoring biomarkers offers insights for early disease (e.g., cancer, chronic diseases) screening, treatment guidance and response evaluation. To tac...
BACKGROUND: Antimicrobial peptides (AMPs) are peptides produced by organisms during the evolutionary process to defend themselves against external bio...
Antibodies are crucial for medical applications, yet traditional methods for designing sequences are inefficient. This study introduces AntiBMPNN, an ...