Preventive Care

AI-based article screening.

Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.

INTRODUCE: Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three...

Predicting COVID-19 pandemic waves including vaccination data with deep learning.

INTRODUCTION: During the recent COVID-19 pandemics, many models were developed to predict the number...

Integrating machine learning and high throughput screening for the discovery of allosteric AKT1 inhibitors.

Evidence from clinical and experimental investigations reveals the role of AKT in oral cancer, which...

Automating General Movements Assessment with quantitative deep learning to facilitate early screening of cerebral palsy.

The Prechtl General Movements Assessment (GMA) is increasingly recognized for its role in evaluating...

Effect of a 2-week interruption in methotrexate treatment on COVID-19 vaccine response in people with immune-mediated inflammatory diseases (VROOM study): a randomised, open label, superiority trial.

BACKGROUND: Methotrexate is the first-line treatment for immune-mediated inflammatory diseases and r...

Opportunistic Screening for Asymptomatic Left Ventricular Dysfunction With the Use of Electrocardiographic Artificial Intelligence: A Cost-Effectiveness Approach.

BACKGROUND: The burden of asymptomatic left ventricular dysfunction (LVD) is greater than that of he...

Screening and Identification of DNA Nanostructure Aptamer Using the SELEX Method for ‎Detection of Epsilon Toxin.

BACKGROUND: Epsilon toxin (ETX), produced by , is one of the most potent toxins known, with a lethal...

Artificial intelligence-aided diagnostic imaging: A state-of-the-art technique in precancerous screening.

BACKGROUND AND AIM: Chromoendoscopy with the use of indigo carmine (IC) dye is a crucial endoscopic ...

Optimizing Signal Management in a Vaccine Adverse Event Reporting System: A Proof-of-Concept with COVID-19 Vaccines Using Signs, Symptoms, and Natural Language Processing.

INTRODUCTION: The Vaccine Adverse Event Reporting System (VAERS) has already been challenged by an e...

European validation of an image-derived AI-based short-term risk model for individualized breast cancer screening-a nested case-control study.

BACKGROUND: Image-derived artificial intelligence (AI)-based risk models for breast cancer have show...

An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors.

Cytochrome P450 3A4 (CYP3A4), a prominent member of the P450 enzyme superfamily, plays a crucial rol...

Retracted: Application Research of Artificial Intelligence Screening System for Diabetic Retinopathy.

[This retracts the article DOI: 10.1155/2022/2185547.].

Protein profile pattern analysis: A multifarious, in vitro diagnosis technique for universal screening.

Universal health care is attracting increased attention nowadays, because of the large increase in p...

Crisis averted: a world united against the menace of multiple drug-resistant superbugs -pioneering anti-AMR vaccines, RNA interference, nanomedicine, CRISPR-based antimicrobials, bacteriophage therapies, and clinical artificial intelligence strategies to safeguard global antimicrobial arsenal.

The efficacy of antibiotics and other antimicrobial agents in combating bacterial infections faces a...

A multimodal screening system for elderly neurological diseases based on deep learning.

In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We pr...

Retracted: Adoption of Compound Echocardiography under Artificial Intelligence Algorithm in Fetal Congenial Heart Disease Screening during Gestation.

[This retracts the article DOI: 10.1155/2022/6410103.].

Colonoscopy setting and impact on statistical significance in Artificial Intelligence trials.

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening.

OBJECTIVES: Parametric response mapping (PRM) enables the evaluation of small airway disease (SAD) a...

A Systematic Approach Focused on Machine Learning Models for Exploring the Landscape of Physiological Measurement and Estimation Using Photoplethysmography (PPG).

A non-invasive optical technique known as photoplethysmography (PPG) can be used to provide various ...

The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective.

INTRODUCTION: Diabetic retinopathy (DR) is the leading cause of preventable blindness in Saudi Arabi...