Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in natural reservoirs (waterfowls) is imperative. Here, we report full genomic and biologic characterization of two virulent AAvVs isolated from apparently asymptomatic green-winged teal (). Genetic characterization (genome length, coding potential, and presence of typical cleave motif [RRQKR| F]) and bi...
BACKGROUND: There are still a high number of dissatisfied knee arthroplasty patients. This situation has not changed much for decades, despite many innovations focusing on implant longevity and higher procedural precision. In this context, there is a growing discussion on possible systematic errors made in knee arthroplasty, especially regarding the alignment philosophy of the implants.
Using Super Learner, a machine learning statistical method, we assessed varicella zoster virus-specific glycoprotein-based enzyme-linked immunosorbent...
We designed the CMOS analog integrate and fire (I&F) neuron circuit can drive resistive synaptic device. The neuron circuit consists of a current mirr...
Currently, artificial intelligence technology is being developed rapidly and is used in many clinical areas, especially in stomatology. The applicatio...
Almost 1 million Americans suffer from debilitative disorders or injuries to the hand, which result in decreased grip strength and/or impaired ability...
This paper presents an elbow training device using the Mechanically Adjustable Stiffness Actuator(MASA) for stroke survivors with hemiplegia. The MASA...
BACKGROUND: Herpes zoster (HZ) is caused by varicella-zoster virus ( VZV ) reactivation. In the United States, Zoster vaccine (ZOSTAVAX) is indicated ...
The severe hearing loss problems that some people suffer can be treated by providing them with a surgically implanted electrical device called cochlea...
BACKGROUND: This study aimed to determine whether the back-propagation artificial neural network (BP-ANN) model could be constructed to accurately in ...
Electronic medical record (EMR) systems provide easy access to radiology reports and offer great potential to support quality improvement efforts and ...
OBJECTIVE: We investigate the clinical effectiveness of a novel deep learning-based noise reduction (NR) approach under noisy conditions with challeng...
In computed tomography coronary angiography (CTCA), calcification and stent make it difficult to evaluate intravascular lumen. This is a cause of low ...
Perioperative stroke is cerebral infarction occurring in the perioperative period. The incidence of perioperative stroke in non-cardiac, and non-neuro...
Hepatitis C virus (HCV) is a significant health threat that has been extensively investigated worldwide. Improving the sensitivity and specificity of ...
Alterations in progesterone (P4) catabolism due to high feed intake underlie some effects of nutrition on reproduction. Based on previous research, we...
Objective To construct a phage display library of specific nano-antibodies against the Middle East respiratory syndrome coronavirus (MERS-CoV) and app...
RATIONALE: Thrombosis due to anastomotic site stenosis is the most common complication in patients with brachio-axillary arteriovenous graft (AVG). In...
OBJECTIVE: To explore the immunoreaction against protoscolex infection by the recombinant ferritin of echinococcus granulosus (rEg.ferritin) immunized...
Many robotic devices in rehabilitation incorporate an assist-as-needed haptic guidance paradigm to promote training. This error reduction model, while...