AIMC Topic: Humans

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Identification of plasma proteins associated with seizures in epilepsy: A consensus machine learning approach.

PloS one
Blood-based biomarkers in epilepsy could constitute important research tools advancing neurobiological understanding and valuable clinical tools for better diagnosis and follow-up. An interesting question is whether biomarker patterns could contribut...

Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study.

PloS one
BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are frequent complications of hospitalization, resulting in reduced outcomes and increased cost burden. However, these conditions are only sometimes recognized and promptly treated....

From droplets to diagnosis: AI-driven imaging and system integration in digital nucleic acid amplification testing.

Biosensors & bioelectronics
Digital nucleic acid amplification testing (dNAAT)-including digital PCR and isothermal techniques-has transformed precision diagnostics by enabling single-molecule quantification. However, its widespread adoption in point-of-care testing (POCT) rema...

Uncorking white wine liking: Combining analytical chemistry and chemometrics with crowd-sourced data to predict quality ratings.

Food chemistry
Quality perception is a crucial aspect of wine research, particularly regarding consumer acceptance and quality impression. These assessments are challenging because consumers frequently incorporate extrinsic cues when evaluating hedonic quality. A u...

Linking lipidomics to meat quality: A review on texture and flavor in livestock and poultry.

Food chemistry
This review explores the application of lipidomics in livestock and poultry meat research, focusing on lipid identification and analysis from the perspectives of meat quality and flavor. We offer a comprehensive overview of lipid extraction methods a...

Genomic diversity of Cronobacter sakazakii across the food system to consumers at the global scale.

International journal of food microbiology
Understanding how foodborne pathogens adapt to changing environments is essential for improving food safety monitoring and control. Cronobacter sakazakii, a persistent opportunistic pathogen associated with powdered infant formula outbreaks, poses cr...

Oral and Gut Dysbiosis in Migraine: Oral Microbial Signatures as Biomarkers of Migraine.

Neurology(R) neuroimmunology & neuroinflammation
BACKGROUND AND OBJECTIVES: Emerging evidence suggests that oral health conditions may exacerbate migraine, and saliva is a potential source of biomarkers for migraine. The 3-way interaction of the oral-gut-brain axis has been implicated in several ne...

CMT-FFNet: A CMT-based feature-fusion network for predicting TACE treatment response in hepatocellular carcinoma.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Accurately and preoperatively predicting tumor response to transarterial chemoembolization (TACE) treatment is crucial for individualized treatment decision-making hepatocellular carcinoma (HCC). In this study, we propose a novel feature fusion netwo...

D2C-Morph: Brain regional segmentation based on unsupervised registration network with similarity analysis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Brain regional segmentation is an image-processing approach widely used in brain image analyses. Deep learning models that perform segmentation alone play an important role in medical fields such as automatic diagnosis and prognosis prediction. This ...

Enhancing weakly supervised data augmentation networks for thyroid nodule assessment using traditional and doppler ultrasound images.

Computers in biology and medicine
Thyroid ultrasound (US) is an essential tool for detecting and characterizing thyroid nodules. In this study, we propose an innovative approach to enhance thyroid nodule assessment by integrating Doppler US images with grayscale US images through wea...