Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 67,771 to 67,780 of 232,702 articles

A novel hybrid sensor array with enhanced sensitivity and selectivity for biomarker detection of multiple respiratory diseases.

Talanta
Electronic nose is an emergent technique for noninvasive disease detection via breath analysis, which is, however limited by the sensitivity and selectivity of the sensor array to complex biomarkers. In this study, we developed a hybrid sensor array ... read more 

Building an expanded bio-based economy through synthetic biology.

Biotechnology advances
The field of synthetic biology is essential to the continued development of a bio-based economy, creating mechanisms to supply carbon needed in the economy by both converting existing end-of-life wastes as well as by creating novel, purpose-grown and... read more 

Deep learning-based tooth segmentation for enhanced visualization of dental anomalies and pathologies.

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
BACKGROUND: This study aimed to developed and validated a deep-learning method for instance-level tooth segmentation in CBCT to enhance visualization and streamline detection of dental anomalies. METHODS: The proposed deep learning model was trained ... read more 

Targeting the DYNLL2-PAK1 axis inhibits caspase-11-dependent pyroptosis to alleviate sepsis.

Biochemical pharmacology
Sepsis, a life-threatening syndrome caused by dysregulated host responses to infection, lacks effective therapeutic strategies due to its complex immune pathophysiology. Here, we identify Dynein Light Chain LC8-Type 2 (DYNLL2) as a critical risk gene... read more 

Using computational semantics to study meaning in the brain.

Neuroscience and biobehavioral reviews
How do humans understand the meaning of individual words? How do we combine the meaning of multiple words to comprehend novel sentences? Cognitive neuroscience has addressed these questions by studying patterns of neural activation across the cerebra... read more 

Wildfire smoke and dengue burden in Brazil: Evidence from a nationwide study.

Environmental pollution (Barking, Essex : 1987)
Wildfire fine particulate matter (PM2.5) is an emerging health concern, yet its effects on mosquito-borne diseases, particularly dengue, remain unclear. Brazil faces one of the world's highest dengue burdens alongside frequent wildfires. We examined ... read more 

Profiling the Braak progression in Parkinson's disease: a transcriptomics and ML driven identification of progressive biomarker and prognostic ceRNA signature.

Neuroscience
Parkinson's disease (PD), the second most prevalent neurodegenerative disorder, is marked by dopaminergic neuron loss and α-synuclein aggregation. Although Braak staging based on Lewy body pathology stratifies disease progression, clinical variabilit... read more 

Thermal imaging-guided detection of transparent plastic contaminants on chicken breast: A combined vision and simulation approach.

Food research international (Ottawa, Ont.)
Poultry consumption has surged in recent years, raising food safety concerns from foreign material (FM) contamination, particularly transparent plastics that are difficult to detect using conventional methods like X-ray imaging. This study aims to de... read more 

Predicting the distance between the center of mass and center of pressure during walking in the young and elder population based on ground reaction forces using artificial neural network.

Gait & posture
INTRODUCTION: Assessing the interaction between the body's center of mass (COM) and center of pressure (COP) during gait provides valuable insights into dynamic balance control. However, traditional motion capture methods are costly and impractical i... read more