AIMC Topic: Humans

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Development and Validation of an Extra Spindle Pole Bodies-like 1-Based Diagnostic and Prognostic Model for Hepatitis B Virus-Related Hepatocellular Carcinoma: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Early diagnosis of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B virus (HBV) is challenging. Models that combine novel biomarkers with clinical features may improve both early diagnosis and risk stratification, but f...

Bioinspired photoresponsive soft robotic lens.

Science robotics
Vision is a critical sensory function for humans, animals, and engineered systems, enabling environmental perception essential for imaging and autonomous operation. Although bioinspired, tunable optical systems have advanced adaptability and performa...

EEG based classification of sleep cyclic alternating patterns using frequency driven forward ternary encoding.

Sleep & breathing = Schlaf & Atmung
PURPOSE: Cyclic alternating patterns (CAP) of sleep can be observed through electroencephalogram (EEG) signals. Analyzing CAP can provide valuable insights into different abnormalities relating to sleep. CAP comprises of two phases: A and B, characte...

Automated AI detection of thoracic aortic dissection on CT imaging.

European radiology experimental
BACKGROUND: Aortic dissection (AD) is a life-threatening condition. We developed an artificial intelligence (AI) algorithm capable of robust, accurate, and automated AD detection and sub-classification.

Gaining Brain Insights by Tapping into the Black Box: Linking Structural MRI Features to Age and Cognition using Shapley-Based Interpretation Methods.

Neuroinformatics
Global interpretability in machine learning holds great potential for extracting meaningful insights from neuroimaging data to improve our understanding of brain function. Although various approaches exist to identify key contributing features at bot...

Strongly nonlinear age-structured equation, time-elapsed model and large delays.

Journal of mathematical biology
The time-elapsed model for neural assemblies is a nonlinear age-structured equation where the renewal term describes the network activity and influences the discharge rate, possibly with a delay due to the length of connections. We first solve a long...

Sequential temporal anticipation characterized by neural power modulation and in recurrent neural networks.

eLife
Relevant prospective moments arise intermittently, while most of the time is filled with irrelevant events, or noise, that constantly bombard our sensory systems. Thus, anticipating a few key moments necessitates disregarding what lies between the pr...

Defining endotypes of bronchopulmonary dysplasia in preterm infants to improve precision-based therapies.

JCI insight
Bronchopulmonary dysplasia (BPD) remains a debilitating disease in premature infants. The chronic pathogenesis of BPD with complex prenatal and postnatal programming challenges attempts at precisely defining or treating disease. While existing BPD de...

The future of bariatric surgery: could surgical practice take advantage of in silico computational tools and artificial intelligence?

Progress in biomedical engineering (Bristol, England)
In 2023, the 8th IFSO analysis reported 480 970 metabolic bariatric procedures worldwide, as an action against obesity, a pandemic affecting more than a billion people. Despite the well-documented risks associated with obesity and the potential healt...