AIMC Topic: Humans

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Annotated dataset of simulated voiding sound for urine flow estimation.

Scientific data
Sound-based uroflowmetry is a non-invasive test emerging as an alternative to standard uroflowmetry, estimating voiding characteristics from the sound generated by urine striking water in a toilet bowl. The lack of labeled flow sound datasets limits ...

Stem loop binding protein promotes SARS-CoV-2 replication via -1 programmed ribosomal frameshifting.

Signal transduction and targeted therapy
The -1 programmed ribosomal frameshifting (-1 PRF) in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for keeping the balance between pp1a and pp1ab polyproteins. To date, the host factors influencing this process remain poorl...

Dataset resulting from the user study on comprehensibility of explainable AI algorithms.

Scientific data
This paper introduces a dataset that is the result of a user study on the comprehensibility of explainable artificial intelligence (XAI) algorithms. The study participants were recruited from 149 candidates to form three groups representing experts i...

Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions.

JMIR mHealth and uHealth
BACKGROUND: Monitoring hydration is crucial for maintaining health and preventing dehydration. Despite the potential of wearable devices for continuous hydration monitoring, health research hasn't fully explored this application, and clear design gui...

AbEpiTope-1.0: Improved antibody target prediction by use of AlphaFold and inverse folding.

Science advances
B cell epitope prediction tools are crucial for designing vaccines and disease diagnostics. However, predicting which antigens a specific antibody binds to and their exact binding sites (epitopes) remains challenging. Here, we present AbEpiTope-1.0, ...

Quantum-inspired computational drug design for phytopharmaceuticals: a herbal holography analysis.

Journal of molecular modeling
CONTEXT: Modern medication discovery is undergoing a paradigm change at the junction of herbal pharmacology with computational modeling informed by quantum theory. Herbal compounds, which have often been considered as complex and poorly understood en...

Gut microbiota alterations are linked to COVID-19 severity in North African and European populations.

NPJ biofilms and microbiomes
Although COVID-19 primarily affects the respiratory system, many patients experience gastrointestinal symptoms, suggesting a role for the gut microbiota in disease pathogenesis. To explore this, we performed shotgun metagenomic sequencing on stool sa...

Neur-Ally: a deep learning model for regulatory variant prediction based on genomic and epigenomic features in brain and its validation in certain neurological disorders.

NAR genomics and bioinformatics
Large-scale quantitative studies have identified significant genetic associations for various neurological disorders. Expression quantitative trait locusĀ (eQTL) studies have shown the effect of single-nucleotide polymorphisms (SNPs) on the differenti...

Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.

JCO clinical cancer informatics
PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stereotactic radiosurgery (SRS) from electronic health records is a critical but challenging task. Traditional methods of identifying the primary tumor his...