Latest AI and machine learning research in stds for healthcare professionals.
In this work, a colorimetric and fluorescent dual-mode probe controlled by NH-MIL-88Â B (Fe, Ni) nano...
BACKGROUND: The emergence and rapid spread of multi-drug resistant (MDR) bacterial strains, such as ...
BACKGROUND: Using the reaction history in logistic regression and machine learning (ML) models to pr...
PURPOSE: Despite strong efforts to promote human papillomavirus (HPV) vaccine and cervical cancer sc...
The growing interest in data-driven medicine, in conjunction with the formation of initiatives such ...
PURPOSE: Ongoing Monkeypox (MPX) outbreaks in countries outside Africa have unique characteristics. ...
Rehabilitation is a major requirement to improve the quality of life and mobility of patients with d...
National guidelines for cystic fibrosis recommend cleaning and disinfecting nebulizers after each us...
Tasks in psychophysical tests can at times be repetitive and cause individuals to lose engagement du...
Thromboelastography (TEG) remains a convenient and effective viscoelastic blood coagulation testing ...
The United States Senate passed the "FDA Modernization Act 2.0." on September 29, 2022. Although the...
Although primary lung cancer is rare in children, chest CT is commonly performed to assess for lung...
Monitoring body condition score (BCS) is a useful management tool to estimate the energy reserves of...
BACKGROUND: The performance of deep learning segmentation (DLS) models for automatic organ extractio...
OBJECTIVE: This study addressed the problem of objectively detecting leaks in P2 respirators at poin...
BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) c...
Vaccines to curb the global spread of multidrug-resistant gonorrhea are urgently needed. Here, 26 va...
With the introduction of neuron coverage as a testing criterion for deep neural networks (DNNs), cov...
INTRODUCTION: Evorpacept is a CD47-blocking agent currently being developed for the treatment of var...
OBJECTIVES: To develop and validate a multiparametric MRI-based radiomics model with optimal oversam...