Infectious Disease

COVID-19

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

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Cognitive Load Prediction From Multimodal Physiological Signals Using Multiview Learning.

Predicting cognitive load is a crucial issue in the emerging field of human-computer interaction and...

Use of artificial intelligence to assess genetic predisposition to develop critical COVID-19 disease: a comparative study of machine learning models.

OBJECTIVES: Early prediction of critical COVID-19 disease is crucial for an optimal clinical managem...

"Three-in-One" MIL@PDA-UiOL@AIEgens driven lateral flow immunosensor for multimodal detection of aflatoxin B.

The multi-modal lateral flow immunosensor (LFIS) with integrated advantages and mutual built-in cali...

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence.

PURPOSE: Endometrial cancer (EC) is the most common gynecologic cancer in the United States with ris...

PSMA PET/CT for prostate cancer diagnosis: current applications and future directions.

Prostate cancer (PCa) requires improved diagnostic strategies beyond conventional imaging. This revi...

Machine learning-based optimization of cytotoxicity testing for assessing Zn-based biodegradable metals.

Zinc (Zn)-based biodegradable metals are emerging as promising candidates for biomedical implants. N...

Application of multivalent aptamers in tumor diagnosis, analysis and therapy (Review).

Cancer remains one of the leading causes of mortality worldwide, making early diagnosis and precise ...

Accurate identification and mechanistic evaluation of pathogenic missense variants with .

Understanding the effects of missense mutations or single amino acid variants (SAVs) on protein func...

Testing theories of political persuasion using AI.

Despite its importance to society and many decades of research, key questions about the social and p...

Integrating genetic variation with deep learning provides context for variants impacting transcription factor binding during embryogenesis.

Understanding how genetic variation impacts transcription factor (TF) binding remains a major challe...

UniAda: Domain Unifying and Adapting Network for Generalizable Medical Image Segmentation.

Learning a generalizable medical image segmentation model is an important but challenging task since...

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks.

Predicting the evolutionary patterns of emerging and endemic viruses is key for mitigating their spr...

Testing on continuous production of mefenamic acids-Design of experiment through simulation and process optimisation.

In the pharmaceutical manufacturing industry, continuous production methods have been recognised as ...

Enhancing detection and monitoring of circulating tumor cells: Integrative approaches in liquid biopsy advances.

Liquid biopsy offers a minimally invasive method for detecting and monitoring cancer, with key bioma...

Predictive models of severe disease in patients with COVID-19 pneumonia at an early stage on CT images using topological properties.

Prediction of severe disease (SVD) in patients with coronavirus disease (COVID-19) pneumonia at an e...

MWTP: A heterogeneous multiplex representation learning framework for link prediction of weak ties.

Weak ties that bridge different communities are crucial for preserving global connectivity, enhancin...

Detection of β-Thalassemia trait from a heterogeneous population with red cell indices and parameters.

BACKGROUND: India is home to about 42 million people with β-thalassemia trait (βTT) necessitating sc...

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