Primary Care

DeepScreening: a deep learning-based screening web server for accelerating drug discovery.

Deep learning contributes significantly to researches in biological sciences and drug discovery. Pre...

Screening for Alzheimer's Disease Using Saliva: A New Approach Based on Machine Learning and Raman Hyperspectroscopy.

BACKGROUND: Alzheimer's disease and related dementias (ADRDs) are being diagnosed at epidemic rates,...

Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.

BACKGROUND: Lung adenocarcinoma (LUAD) accounts for a significant proportion of lung cancer and ther...

Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which in...

Healthcare Transformation Towards Personalized Medicine - Chances and Challenges.

The paper introduces a structured approach to transforming healthcare towards personalized, preventi...

Fuzzy logic based risk assessment system giving individualized advice for metabolic syndrome and fatal cardiovascular diseases.

In 2005, global cardiovascular diseases caused 30% of deaths in Europe, which is 46% of total deaths...

Better resource utilization and quality of care for cervical cancer screening in low-resourced districts using an internet-based expert system.

BACKGROUND: Screening tools are critical in the early prevention of cervical cancers. Acetic-acid ba...

News and Views: A Roundup of some new developments in diabetes.

Virtual Screening of Anti-Cancer Compounds: Application of Monte Carlo Technique.

Possibility and necessity of standardization of predictive models for anti-cancer activity are discu...

Virtual Screening Meets Deep Learning.

BACKGROUND: Automated compound testing is currently the de facto standard method for drug screening,...

Unhealthy Behaviors, Prevention Measures, and Neighborhood Cardiovascular Health: A Machine Learning Approach.

This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the...

Hepatoprotective and anti-obesity effects of Korean blue honeysuckle extracts in high fat diet-fed mice.

PURPOSE: This study aimed to study the protective effects and mechanism of Blue Honeysuckle (BH) ext...

Non-invasive prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology.

AIM: To construct a non-invasive prediction algorithm for predicting non-alcoholic steatohepatitis (...

In Vitro Investigation of Potential Anti-Diabetic Activity of the Corm Extract of Hypoxis Argentea Harv. Ex Baker.

The corms of Hypoxis argentea are widely used as a traditional remedy for diabetes mellitus in South...

Acalypha Wilkesiana 'Java White': Identification of Some Bioactive Compounds by Gc-Ms and Their Effects on Key Enzymes Linked to Type 2 Diabete.

In this study, we identified bioactive compounds from the ethanolic extracts of the leaves, stem bar...

Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD)...

Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care.

Digital health constitutes a merger of both software and hardware technology with health care delive...

The effects of menopausal hormone therapy on proinflammatory cytokines and immunoglobulins in perimenopausal patients with type 2 diabetes mellitus and chronic obstructive pulmonary disease (COPD).

AIM: To determine the effects of menopausal hormone therapy dosage on levels of proinflammatory cyto...

[Antidiabetic role of high density lipoproteins].

Disturbance in lipid metabolism can be both a cause and a consequence of the development of diabetes...

Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders.

OBJECTIVEIf not anticipated and prearranged, hospital stay can be prolonged while the patient awaits...

A machine learning approach to predict early outcomes after pituitary adenoma surgery.

OBJECTIVEPituitary adenomas occur in a heterogeneous patient population with diverse perioperative r...