Latest AI and machine learning research in devices and vaccines for healthcare professionals.
During the COVID-19 pandemic we utilized an AI-driven T cell epitope prediction tool, the NEC Immune...
The use of artificial intelligence as a medical device (AIaMD) in healthcare systems is increasing r...
BACKGROUND: Vaccination is an effective and alternative means of disease prevention, however, it can...
The Healthcare Internet-of-Things (IoT) framework aims to provide personalized medical services with...
Efficient translation mediated by the 5' untranslated region (5' UTR) is essential for the robust ef...
Spatulation during ureteropelvic junction obstruction repair was evaluated in children treated by r...
Vaccines to curb the global spread of multidrug-resistant gonorrhea are urgently needed. Here, 26 va...
A super-resolution deep learning reconstruction (SR-DLR) algorithm trained using data acquired on th...
To properly repair and maintain implants, which are bone tissue implants that replace natural tooth ...
Influenza viruses are detected year-round over the world and the viruses will usually circulate duri...
BACKGROUND: Joint arthroplasty registries usually lack information on medical imaging owing to the l...
AIM: To compare the implant accuracy, safety and morbidity between robot-assisted and freehand denta...
Spinal fixation with rigid pedicle screws have shown to be an effective treatment for many patients....
BACKGROUND: In breast augmentation surgery, selection of the appropriate breast implant size is a cr...
This paper addresses the crucial task of identifying DNA/RNA binding sites, which has implications i...
The treatment of patients with balance disorders is an urgent problem to be solved by the medical co...
In recent years, increasing efforts have been made to develop advanced techniques that could predict...
With the increasing amount of digital data generated by Arabic speakers, the need for effective and ...
BACKGROUND: Falciparum malaria remains a global health problem. Two vaccines, based on the circumspo...
This study investigated two artificial intelligence (AI) methods for automatically classifying denta...
A common problem with segmentation of medical images using neural networks is the difficulty to obta...