Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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An FPGA-Based SiNW-FET Biosensing System for Real-Time Viral Detection: Hardware Amplification and 1D CNN for Adaptive Noise Reduction.

Impedance-based biosensing has emerged as a critical technology for high-sensitivity biomolecular de...

Sulforaphane as a promising anti-caries agents: inhibitory effects on and caries control in a rat model.

Dental caries has been one of the most prevalent diseases globally over the last few decades, threat...

Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing.

BACKGROUND: Anti-citrullinated peptide antibodies (ACPA)-negative (ACPA-) rheumatoid arthritis (RA) ...

A novel non-invasive murine model for rapidly testing drug activity via inhalation administration against .

The efficacy of many compounds against is often limited when administered via conventional oral or ...

Machine learning-based analysis of microfluidic device immobilized C. elegans for automated developmental toxicity testing.

Developmental toxicity (DevTox) tests evaluate the adverse effects of chemical exposures on an organ...

Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.

Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythe...

Boosting Your Context by Dual Similarity Checkup for In-Context Learning Medical Image Segmentation.

The recent advent of in-context learning (ICL) capabilities in large pre-trained models has yielded ...

Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders.

DNA methylation (DNAm) is essential for brain development and function and potentially mediates the ...

MEFA-Net: A mask enhanced feature aggregation network for polyp segmentation.

Accurate polyp segmentation is crucial for early diagnosis and treatment of colorectal cancer. This ...

A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning.

BACKGROUND: The prediction of coronavirus disease in 2019 (COVID-19) in broader regions has been wid...

Characteristics and outcomes of pulmonary barotrauma in patients with COVID-19 ARDS: A retrospective observational study.

INTRODUCTION: Pulmonary barotrauma in coronavirus disease-2019 (COVID-19) acute respiratory distress...

A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression.

As an alternative to assessments performed by human experts, artificial intelligence (AI) is current...

Implementation of machine learning tool for continued process verification of process chromatography unit operation.

Recent advancements in technology, such as the emergence of artificial intelligence (AI) and machine...

Fuzzy APPSS: A novel method for quantifying COVID-19 impact in India under triangular spherical fuzzy environment.

In the current scenario, decision-making models are essential for analyzing real-world problems. To ...

RePaIR: Repaired pruning at initialization resilience.

Over the past decade, the size of neural network models has gradually increased in both breadth and ...

Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies.

Rare diseases affect 1-in-10 people in the United States and despite increased genetic testing, up t...

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