Primary Care

Preventive Care

Latest AI and machine learning research in preventive care for healthcare professionals.

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Diabetes and artificial intelligence beyond the closed loop: a review of the landscape, promise and challenges.

The discourse amongst diabetes specialists and academics regarding technology and artificial intelli...

Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence.

During the COVID-19 pandemic we utilized an AI-driven T cell epitope prediction tool, the NEC Immune...

COVID-19 Vaccination in Liver Cirrhosis: Safety and Immune and Clinical Responses.

INTRODUCTION: Three years after the beginning of the SARS-CoV-2 pandemic, the safety and efficacy of...

Utilizing artificial intelligence-based eye tracking technology for screening ADHD symptoms in children.

OBJECTIVE: To explore the potential of using artificial intelligence (AI)-based eye tracking technol...

Performance of artificial intelligence in 7533 consecutive prevalent screening mammograms from the BreastScreen Australia program.

OBJECTIVES: To assess the performance of an artificial intelligence (AI) algorithm in the Australian...

Artificial Intelligence: From Buzzword to Useful Tool in Clinical Pharmacology.

The advent of artificial intelligence (AI) in clinical pharmacology and drug development is akin to ...

Transfer of maternal immunity using a polyvalent vaccine and offspring protection in Nile tilapia, .

BACKGROUND: Vaccination is an effective and alternative means of disease prevention, however, it can...

Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline.

BACKGROUND: Chest x-ray is commonly used for pulmonary abnormality screening. However, since the ima...

Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.

OBJECTIVES: To validate an AI system for standalone breast cancer detection on an entire screening p...

High-Content Image-Based Screening and Deep Learning for the Detection of Anti-Inflammatory Drug Leads.

We developed a high-content image-based screen that utilizes the pro-inflammatory stimulus lipopolys...

Enhancing human-AI collaboration: The case of colonoscopy.

Diagnostic errors impact patient health and healthcare costs. Artificial Intelligence (AI) shows pro...

A novel deep generative model for mRNA vaccine development: Designing 5' UTRs with 1-methyl-pseudouridine modification.

Efficient translation mediated by the 5' untranslated region (5' UTR) is essential for the robust ef...

Artificial intelligence: Machine learning approach for screening large database and drug discovery.

Recent research in drug discovery dealing with many faces difficulties, including development of new...

Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines.

BACKGROUND: Clinical practice guidelines (CPGs) are designed to assist doctors in clinical decision ...

Artificial Intelligence Improves Patient Follow-Up in a Diabetic Retinopathy Screening Program.

PURPOSE: We examine the rate of and reasons for follow-up in an Artificial Intelligence (AI)-based w...

Integration of Deep Learning and Sequential Metabolism to Rapidly Screen Dipeptidyl Peptidase (DPP)-IV Inhibitors from .

Traditional Chinese medicine (TCM) possesses unique advantages in the management of blood glucose an...

Preclinical efficacy of a cell division protein candidate gonococcal vaccine identified by artificial intelligence.

Vaccines to curb the global spread of multidrug-resistant gonorrhea are urgently needed. Here, 26 va...

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