AIMC Topic: Humans

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Combination of exhaled volatile organic compounds with serum biomarkers predicts respiratory infection severity.

Pulmonology
OBJECTIVE: During respiratory infections, host-pathogen interaction alters metabolism, leading to changes in the composition of expired volatile organic compounds (VOCs) and soluble immunomodulators. This study aims to identify VOC and blood biomarke...

Deep learning-based prediction of cervical canal stenosis from mid-sagittal T2-weighted MRI.

Skeletal radiology
OBJECTIVE: This study aims to establish a large degenerative cervical myelopathy cohort and develop deep learning models for predicting cervical canal stenosis from sagittal T2-weighted MRI.

The future of paediatric sleep medicine: a blueprint for advancing the field.

Journal of sleep research
Paediatric sleep medicine has rapidly evolved and expanded over the past half century as it became increasingly recognised as a unique field related to but distinct from adult sleep medicine. In looking forward to the next years, the focus of the fol...

International external validation of the SORG machine learning algorithm for predicting sustained postoperative opioid prescription after anterior cervical discectomy and fusion using a Taiwanese cohort of 1,037 patients.

The spine journal : official journal of the North American Spine Society
BACKGROUND CONTEXT: Anterior cervical discectomy and fusion (ACDF) is widely performed for cervical spine disorders, with opioids commonly prescribed postoperatively for pain management. However, prolonged opioid use carries significant risks such as...

Multichannel Contribution Aware Network for Prostate Cancer Grading in Histopathology Images.

Journal of computational biology : a journal of computational molecular cell biology
Gleason grading of prostate histopathology images is widely used by pathologists for diagnosis and prognosis. Spatial characteristics of cell and tissues through staining images is essential for accurate grading of prostate cancer. Although considera...

Multi-head ensemble of smoothed classifiers for certified robustness.

Neural networks : the official journal of the International Neural Network Society
Randomized Smoothing (RS) is a promising technique for certified robustness, and recently in RS the ensemble of multiple Deep Neural Networks (DNNs) has shown state-of-the-art performances due to its variance reduction effect over Gaussian noises. Ho...

Deep learning in the discovery of antiviral peptides and peptidomimetics: databases and prediction tools.

Molecular diversity
Antiviral peptides (AVPs) represent a novel and promising therapeutic alternative to conventional antiviral treatments, due to their broad-spectrum activity, high specificity, and low toxicity. The emergence of zoonotic viruses such as Zika, Ebola, a...

Unveiling drug-induced osteotoxicity: A machine learning approach and webserver.

Journal of hazardous materials
Drug-induced osteotoxicity refers to the harmful effects certain pharmaceuticals have on the skeletal system, posing significant safety risks. These toxic effects are critical concerns in clinical practice, drug development, and environmental managem...

ULST: U-shaped LeWin Spectral Transformer for virtual staining of pathological sections.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
At present, pathological section staining faces several challenges, including complex sample preparation and stringent infrastructure requirements. Virtual staining methods utilizing deep neural networks to automatically generate stained images are g...