Infectious Disease

COVID-19

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

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101 Machine Learning Algorithms for Mining Esophageal Squamous Cell Carcinoma Neoantigen Prognostic Models in Single-Cell Data.

Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in the dige...

MIST: An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis.

Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provid...

A Tc1- and Th1-T-lymphocyte-rich tumor microenvironment is a hallmark of MSI colorectal cancer.

Microsatellite instability is a strong predictor of response to immune checkpoint therapy and patien...

Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm.

In the era of rapid digital communication, vast amounts of textual data are generated daily, demandi...

Electrocardiographic Discrimination of Long QT Syndrome Genotypes: A Comparative Analysis and Machine Learning Approach.

Long QT syndrome (LQTS) presents a group of inheritable channelopathies with prolonged ventricular r...

AI feedback and workplace social support in enhancing occupational self-efficacy: a randomized controlled trial in Japan.

As AI is expected to take on the role of providing workplace feedback to employees in the future, un...

Machine learning in point-of-care testing: innovations, challenges, and opportunities.

The landscape of diagnostic testing is undergoing a significant transformation, driven by the integr...

Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning.

Highly concentrated antibody solutions are necessary for developing subcutaneous injections but ofte...

Taking the 3Rs to a higher level: replacement and reduction of animal testing in life sciences in space research.

Human settlements on the Moon, crewed missions to Mars and space tourism will become a reality in th...

Comprehensive testing of large language models for extraction of structured data in pathology.

BACKGROUND: Pathology departments generate large volumes of unstructured data as free-text diagnosti...

Detection of antibodies in suspected autoimmune encephalitis diseases using machine learning.

In our study, we aim to predict the antibody serostatus of patients with suspected autoimmune enceph...

Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data.

OBJECTIVE: To predict COVID-19 in hospitalized patients with SARS in a city in southern Brazil by us...

Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications.

The integration of IoT and deep learning has revolutionized real-time monitoring systems, particular...

Are we underestimating the driving factors and potential risks of freshwater microplastics from in situ and in silico perspective?

The high loads of heterogeneous microplastics (MPs) in water system sparked the exploration of MPs s...

Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing.

Chronic pain is prevalent and disproportionately impacts adults with a lower quality of life. Althou...

Fluorescence 'turn-on' sensing of glial fibrillary acidic protein using graphene oxide-quenched copper nanoclusters.

This study introduces a fluorescence based sensing platform made to detect glial fibrillary acidic p...

Deep neural networks excel in COVID-19 disease severity prediction-a meta-regression analysis.

COVID-19 is a disease in which early prognosis of severity is critical for desired patient outcomes ...

A new era in nephrology: the role of super-resolution microscopy in research, medical diagnostic, and drug discovery.

For decades, electron microscopy has been the primary method to visualize ultrastructural details of...

aurora: a machine learning gwas tool for analyzing microbial habitat adaptation.

A primary goal of microbial genome-wide association studies is identifying genomic variants associat...

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