Infectious Disease

COVID-19

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

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Current and emerging strategies for subcutaneous delivery of high-concentration and high-dose antibody therapeutics.

Subcutaneous (SC) administration of monoclonal antibodies (mAbs) offers patient-centric benefits suc...

Preirradiation of Spheroids with Ac-Trastuzumab Improves Penetration of Ac-Liposomes and MIRDcell Predictions of Responses to Drug Cocktails.

This investigation examined the factors involved in predicting the responses of micrometastases to t...

Clinical Utility of Pulmonary Function Testing in Assessing Longitudinal Outcomes of Deployed Veterans with Preserved Spirometry.

Deployment to the Southwest Asia Theater of Military Operations is associated with new-onset respira...

Machine Learning-Driven COVID-19 Hospitalization Forecasting: From Theory to Practice in a Major Northeastern Academic Medical Center.

BACKGROUND: Predicting seasonal and emerging waves of respiratory viruses is crucial for effective p...

Patterns of calcitonin gene-related peptide monoclonal antibody use in people with migraine: Results of the OVERCOME (US) study.

BackgroundUnderstanding characteristics and reasons associated with using calcitonin gene-related pe...

Widespread distribution of bacteria containing PETases with a functional motif across global oceans.

Accumulating evidence indicates that microorganisms respond to the ubiquitous plastic pollution by e...

Linking autism risk genes to morphological and pharmaceutical screening by high-content imaging: Future directions and opinion.

Next-generation sequencing has identified risk genes with large effect sizes for autism spectrum dis...

Direct-to-Consumer Testing: Relevance for Diabetes Therapy.

The performance of laboratory measurements by the people with diabetes (PwD) themselves ("direct-to-...

Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.

To develop and validate a machine learning framework for the classification of distinct seizure onse...

SCAI-Net: An AI-driven framework for optimized, fast, and resource-efficient skull implant generation for cranioplasty using CT images.

Skull damage caused by craniectomy or trauma necessitates accurate and precise Patient-Specific Impl...

Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography.

OBJECTIVES: Deep convolutional neural networks (CNNs) are advancing rapidly in medical research, dem...

A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens.

Identifying protective antigens (PAs), i.e., targets for bacterial vaccines, is challenging as condu...

Discovery and affinity maturation of antibody fragments from an unfavorably enriched phage display selection by deep sequencing and machine learning.

Phage display selection has been used for directed evolution of antibody fragments. However, variant...

Proteome-wide prediction of the mode of inheritance and molecular mechanisms underlying genetic diseases using structural interactomics.

Genetic diseases can be classified according to their modes of inheritance and their underlying mole...

Weakly supervised learning through box annotations for pig instance segmentation.

Pig instance segmentation is a critical component of smart pig farming, serving as the basis for adv...

Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning.

Breast self-examination is a very cost-reducing approach that significantly decreases the cost burde...

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