Infectious Disease

COVID-19

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

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Multi-dimensional annotation of porcine variants using genomic and epigenomic features in pigs.

BACKGROUND: Investigating the functional impact of genomic variants is essential to uncover the mole...

Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis.

Here we propose CovSF, a deep learning model designed to track and forecast short-term severity prog...

Mitochondrial haplogroup A2 is associated with increased COVID-19 mortality in an admixed Brazilian population.

Mitochondria play a crucial role in cellular respiration and immune responses. Mitochondrial DNA (mt...

Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia.

Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acu...

A novel feature extractor based on constrained cross network for detecting sleep state.

With increasing awareness of healthy living and social pressure, more and more people have begun to ...

Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network.

Cattle health monitoring and management systems are essential for farmers and veterinarians, as trad...

Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images.

Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segment...

Identification of key genes associated with cellular aging and mitochondria in acute myocardial infarction.

Acute myocardial infarction (AMI) poses a significant global mortality burden. Utilizing bio informa...

Artificial intelligence derived grading of mustard gas induced corneal injury and opacity.

Artificial intelligence (AI) has emerged as a transformative tool in ophthalmology for disease diagn...

Leveraging federated learning and edge computing for pandemic-resilient healthcare.

The universal demand for the development and deployment of responsive medical infrastructure and dam...

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...

Language models learn to represent antigenic properties of human influenza A(H3) virus.

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

Leveraging machine learning for monitoring afforestation in mining areas: evaluating Tata Steel's restoration efforts in Noamundi, India.

Mining activities have long been associated with significant environmental impacts, including defore...

Profiling antigen-binding affinity of B cell repertoires in tumors by deep learning predicts immune-checkpoint inhibitor treatment outcomes.

The capability to profile the landscape of antigen-binding affinities of a vast number of antibodies...

Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer.

Deep neural networks often suffer from poor generalization due to complex and non-convex loss landsc...

A Wearable AI-Driven Mask with Humidity-Sensing Respiratory Microphone for Non-Vocal Communication.

Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder...

AntiBMPNN: Structure-Guided Graph Neural Networks for Precision Antibody Engineering.

Antibodies are crucial for medical applications, yet traditional methods for designing sequences are...

Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201.

Class Ι major histocompatibility complexes (MHC-Ι), encoded by the highly polymorphic HLA-A, HLA-B, ...

Revisiting Essential and Nonessential Settings of Evidential Deep Learning.

Evidential Deep Learning (EDL) is an emerging method for uncertainty estimation that provides reliab...

Mapping breast cancer research on monoclonal antibodies: a data-driven approach using VOSviewer, Bibliometrix, and CiteSpace.

Monoclonal Antibodies and Breast Cancer Research (MABCR) has progressed substantially, particularly ...

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