Latest AI and machine learning research in stds for healthcare professionals.
PURPOSE: In intensive care unit (ICU) patients in whom bronchoalveolar lavage fluid (BALF) was analy...
Despite uncertain yield, guidelines endorse routine stress myocardial perfusion imaging (MPI) for pa...
Oral tongue squamous cell carcinomas (OTSCC) are a homogeneous group of tumors characterized by aggr...
The use of multiple testing procedures in the context of gene-set testing is an important but relati...
In continuous attractor neural networks (CANNs), spatially continuous information such as orientatio...
BACKGROUND: Syphilis is an infection frequently seen with HIV, and European guidelines on the manage...
OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavi...
The non-stationary property of electromyography (EMG) signals in real life settings usually hinders ...
The mechanical loading environment encountered by articular cartilage in situ makes frictional-shear...
To carry out a pulse diagnosis, a traditional Chinese medicine (TCM) physician presses the patient's...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...
Novel granulated pellets technique was adopted to prepare granulated pellet-containing tablets (GPCT...
Tuberculosis remains a leading cause of infectious disease mortality, and the continued emergence of...
Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance sy...
Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy comb...
Head and neck squamous cell carcinoma (HNSC) is a prevalent malignancy associated with poor prognosi...
Data curation has shifted the quality-compute frontier for language-model and contrastive image-text...
Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompas...
Mamba's recurrent state h_t is, by construction, a compressed summary of every token seen so far. Th...
Deep learning methods have proved highly effective for classification and image recognition problems...
The optimization and control of bioprocesses require robust in silico models that can accurately cap...