Latest AI and machine learning research in preventive care for healthcare professionals.
Cytochrome P450 (CYP) 2E1 is an important enzyme involved in the metabolism of many endogenous and e...
Originally isolated from swine, the proposed influenza D virus has since been shown to be common in ...
Impaired sulfatide catabolism is the primary biochemical insult in patients with the inherited neuro...
Automated polyp detection in colonoscopy videos has been demonstrated to be a promising way for colo...
Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although polypectomy at early...
We introduce a label-free method to rapidly phenotype and classify cells purely based on physical pr...
This paper proposes a neural fuzzy evaluation system (NFES) with significant variables selected from...
In this work, we propose a deep learning approach to improve docking-based virtual screening. The de...
Interfaces markedly affect the properties of materials because of differences in their atomic config...
Low socioeconomic and health care access realities of being American Indian/Alaskan Native (AI/AN) i...
The Hepatitis B vaccine is highly effective for the prevention of hepatitis B (HBV) infection. We re...
The objective of this research was to access the determination of metabolite profiles and antioxidan...
OBJECTIVE: Conventional mammogram enhancement methods use transform-domain filtering, which possibly...
This study describes the NMR-based method to determine the limit of quantitation (LOQ) and limit of ...
We presented the colorimetric and electrochemical methods for determination of the dipeptidyl peptid...
Non-small cell lung cancer (NSCLC) is the most dominating and lethal type of lung cancer triggering ...
OBJECT: Our purpose was to develop a new machine-learning approach (a virtual health check-up) towar...
Rapid overlay of chemical structures (ROCS) is a standard tool for the calculation of 3D shape and c...
Hospital-acquired infections pose a significant risk to patient health, while their surveillance is ...
Patients' narratives about traumatic experiences and symptoms are useful in clinical screening and d...
In this study we developed a graph based semi-supervised learning (SSL) scheme using deep convolutio...