Latest AI and machine learning research in devices and vaccines for healthcare professionals.
The present study seeks to present a single-blind, randomized control trial of a hypothermic anti-in...
Drug metabolites (DMs) are critical in pharmacology research areas, such as drug metabolism pathways...
BACKGROUND AND PURPOSE: Permanent seed brachytherapy is an established treatment option for localize...
The risk stratification of prostate cancer and breast cancer tumours from patients relies on histopa...
Implant treatment is one of the most important surgical processes in teeth which reduces the difficu...
BACKGROUND: Human immune globulin (Ig) products are currently recommended as post-exposure prophylax...
BACKGROUND: In this paper, we discuss the design and development of a formal ontology to describe mi...
The production of envelope glycoproteins (Envs) for use as HIV vaccines is challenging. The yield of...
Proinflammatory cytokines have the capacity to increase inflammatory reaction and play a central rol...
In this article, we apply the deep learning technique to medical field for the teeth detection and c...
Robotic devices have been proposed to meet the rising need for high intensity, long duration, and go...
Low back pain (LBP) remains one of the most prevalent musculoskeletal disorders, while algorithms th...
Automatic segmentation of ischemic stroke lesion volumes from multi-spectral Magnetic Resonance Imag...
Social networks, such as Twitter, have become important sources for active monitoring of user-report...
UNLABELLED: Prostate cancer (PC) is the most common cancer and the third leading cause of cancer dea...
BACKGROUND: Pneumococcal vaccination is recommended to patients with rheumatoid arthritis (RA) and p...
BACKGROUND AND OBJECTIVE: Cochlear implants (CIs) are electronic devices restoring partial hearing t...
Future health-care projection projects a significant growth in population by 2020. Health care has s...
In the last decade robotic devices have been applied in rehabilitation to overcome walking disabilit...
OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosit...
Robotic percutaneous coronary interventions have recently been introduced in the cardiac catheteriza...