Primary Care

Preventive Care

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

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Machine-Learning-Guided Screening of Advantageous Solvents for Solid Polymer Electrolytes in Lithium Metal Batteries.

Trace residual solvents in solid polymer electrolytes (SPEs) significantly affect electrolyte and in...

High-throughput Screening of the Mechanical Properties of Peptide Assemblies.

Peptides are recognized for their varied self-assembly behaviors, forming a wide array of structures...

M-GNN: A Graph Neural Network Framework for Lung Cancer Detection Using Metabolomics and Heterogeneous Graph Modeling.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection cr...

Indirect Detection of Swine Influenza Activity in Porcine Blood Using Raman Spectroscopy and Machine Learning.

Over the past decade, several swine influenza variants, including H1N1 and H1N2, have been periodica...

Development of 3D Intelligent Quantitative Phase Microscope for Sickle Cells Screening.

Sickle cell disease (SCD) is a genetic blood disorder causing red blood cells to deform into a sickl...

Cost-effectiveness of opportunistic osteoporosis screening using chest radiographs with deep learning in Germany.

BACKGROUND: Osteoporosis is often underdiagnosed due to limitations in traditional screening methods...

Detection of Systemic Diseases From Ocular Images Using Artificial Intelligence: A Systematic Review.

PURPOSE: Despite the huge investment in health care, there is still a lack of precise and easily acc...

Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.

The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptoma...

Machine-Learning Assisted Screening with FIND FH for Familial Hypercholesterolemia among Youth.

Although the American Academy of Pediatrics recommends universal lipid screening among children to f...

High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.

Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy lo...

Preferences for the Use of Artificial Intelligence for Breast Cancer Screening in Australia: A Discrete Choice Experiment.

BACKGROUND: Breast cancer screening is considered an effective early detection strategy. Artificial ...

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and abili...

Improved Breast Cancer Detection with Artificial Intelligence in a Real-World Digital Breast Tomosynthesis Screening Program.

OBJECTIVE: The purpose of this study is to compare radiologists' breast cancer screening performance...

Metabolomic Plasma Profile of Chronic Obstructive Pulmonary Disease Patients.

The analysis of blood metabolites may help identify individuals at risk of having COPD and offer ins...

Discovery of SARS-CoV-2 Nsp14-Methyltransferase (MTase) Inhibitors by Harnessing Scaffold-Centric Exploration of the Ultra Large Chemical Space.

The global impact of SARS-CoV-2 underscores the need for antiviral treatments beyond vaccines. This ...

Data-driven consideration of genetic disorders for global genomic newborn screening programs.

PURPOSE: Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range ...

High-content screening (HCS) workflows for FAIR image data management with OMERO.

High-content screening (HCS) for bioimaging is a powerful approach to studying biological processes,...

Wearable sleep recording augmented by artificial intelligence for Alzheimer's disease screening.

The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...

Binary classification of gynecological cancers based on ATR-FTIR spectroscopy and machine learning using urine samples.

Making an early diagnosis of cancer still in the early stages, when completely asymptomatic, is the ...

Discovery, Biological Evaluation and Binding Mode Investigation of Novel Butyrylcholinesterase Inhibitors Through Hybrid Virtual Screening.

Butyrylcholinesterase (BChE), plays a critical role in alleviating the symptoms of Alzheimer's disea...

Identifying Molecular Properties of Ataxin-2 Inhibitors for Spinocerebellar Ataxia Type 2 Utilizing High-Throughput Screening and Machine Learning.

Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disorder marked by c...

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