Latest AI and machine learning research in covid-19 for healthcare professionals.
Osteoarthritis (OA) is characterized as a chronic degenerative disorder affecting the joints. A growing body of evidence indicates that acetylation may play a role in the disease's pathogenesis. However, the underlying molecular mechanisms remain largely undefined. The objective of this study was to explore potential biomarkers linked to acetylation in OA through a comprehensive bioinformatics ana...
The global emergence of monkeypox virus (MPXV) has created an urgent need for effective vaccines that induce robust immune responses. Here, we report a biomimetic nano-vaccine platform based on engineered dendritic cell membrane vesicles displaying M1R (M1R-CMVs), designed via genetic engineering with machine learning-assisted preliminary screening of physicochemical parameters including particle ...
BACKGROUND: Appropriate risk prediction is essential to inform long-term management in patients with symptomatic severe aortic stenosis after transcat...
Primary cutaneous lymphomas (CL) and lymphoproliferative disorders (LPD) are heterogeneous T- and B-cell neoplasms defined by integrated clinical, his...
Surface representations of anatomical structures are crucial for medical applications including preoperative planning and biomechanical simulations, y...
Forecasting infectious disease outbreaks is hard. Forecasting emerging infectious diseases with limited historical data is even harder. In this paper,...
BACKGROUND AND AIMS: Low-income populations in the United States experience disproportionate exposure to adverse social conditions. This scoping revie...
BACKGROUND: Recent genetic data suggest hereditary haemorrhagic telangiectasia (HHT) is 2-12 times more common than the clinically-ascertained prevale...
Long non-coding RNA (lncRNA) variants contribute to human disease, yet systematic evaluation of their functional impact is limited by the lack of high...
The accurate prioritization of candidate somatic single-nucleotide variants (SNVs) remains a challenge due to the substantial variability in sequencin...
Magnetic Resonance Imaging (MRI) is a key modality in cancer treatment, providing high soft tissue contrast for the visualization of tumors and intern...
Neoadjuvant chemotherapy (NAC) can eliminate all invasive cancer in some breast cancer patients, achieving a pathologic complete response (pCR) that i...
The coupled and coordinated development of population and land urbanization represents the core goal of new-type urbanization. However, existing resea...
This study aimed to identify pulmonary hypertension (PH)-associated molecular biomarkers and candidate small-molecule compounds using public transcrip...
PURPOSE: Accurate 3D aortic segmentation in CT images is vital for cardiovascular disease diagnosis, surgical planning, and intraoperative navigation....
Nitrogen narcosis causes acute cognitive impairment in divers breathing compressed air at depth, increasing injury and fatality risk. Susceptibility v...
Multimodal artificial intelligence (AI) is reshaping prostate cancer imaging by moving beyond MRI-only algorithms toward models that integrate multipa...
Electrocardiogram (ECG) recordings are frequently corrupted by nonstationary artifacts such as baseline wander, muscle activity, and electrode motion,...
Spiking neural networks (SNNs) have garnered significant attention in reinforcement learning tasks for their low power consumption. However, tradition...
Cancer vaccines are emerging as a promising approach in immuno-oncology, with the potential to generate tumour-specific and long-lasting immune respon...