Infectious Disease

COVID-19

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

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Rapid diagnosis of membranous nephropathy based on kidney tissue Raman spectroscopy and deep learning.

Membranous nephropathy (MN) is one of the most common glomerular diseases. Although the diagnostic m...

Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients.

Radiographic imaging is a non-invasive technique of considerable importance for evaluating tumor tre...

Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.

Newcastle disease virus (NDV) continues to present a significant challenge for vaccination due to it...

Comparison of artificial intelligence applications and commercial system performances using selected ANA IIF images.

Accurate and accessible classification of anti-nuclear antibodies (ANA) through indirect immunofluor...

Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers.

Magnetic resonance Imaging (MRI)-derived brain-age prediction is a promising biomarker of biological...

A Comprehensive Review of Deep Learning in Computer Vision for Monitoring Apple Tree Growth and Fruit Production.

The high nutritional and medicinal value of apples has contributed to their widespread cultivation w...

Deep learning tools predict variants in disordered regions with lower sensitivity.

BACKGROUND: The recent AI breakthrough of AlphaFold2 has revolutionized 3D protein structural modeli...

Leveraging multi-modal feature learning for predictions of antibody viscosity.

The shift toward subcutaneous administration for biologic therapeutics has gained momentum due to it...

Machine Learning for Predicting the Drug-to-Antibody Ratio (DAR) in the Synthesis of Antibody-Drug Conjugates (ADCs).

The pharmaceutical industry faces challenges in developing efficient and cost-effective drug deliver...

Multifaceted profiling of virus-specific CD8 T cells reveals distinct immune signatures against cytomegalovirus infection states during pregnancy.

Anti-cytomegalovirus (CMV) serological testing, including the IgG avidity index (AI), is used to ass...

Engineering TCR-controlled fuzzy logic into CAR T cells enhances therapeutic specificity.

Chimeric antigen receptor (CAR) T cell immunotherapy represents a breakthrough in the treatment of h...

Detecting implicit biases of large language models with Bayesian hypothesis testing.

Despite the remarkable performance of large language models (LLMs), such as generative pre-trained T...

Ivermectin performance against equine strongylids: Efficacy, egg reappearance periods, and fecal egg counting method comparison.

Equine strongylids are ubiquitous and can cause severe health issues. Anthelmintic resistance is wid...

DTreePred: an online viewer based on machine learning for pathogenicity prediction of genomic variants.

BACKGROUND: A significant challenge in precision medicine is confidently identifying mutations detec...

Enhancing student-centered walking environments on university campuses through street view imagery and machine learning.

Campus walking environments significantly influence college students' daily lives and shape their su...

PILOT: Deep Siamese network with hybrid attention improves prediction of mutation impact on protein stability.

Evaluating the mutation impact on protein stability (ΔΔG) is essential in the study of protein engin...

Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey.

OBJECTIVES: To select, present, and summarize cutting edge work in the field of Knowledge Representa...

Common genetic variants do not impact clinical prediction of methotrexate treatment outcomes in early rheumatoid arthritis.

BACKGROUND: Methotrexate (MTX) is the mainstay initial treatment of rheumatoid arthritis (RA), but i...

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