AI Medical Compendium

A comparative evaluation of handling missing data points and modalities in electronic health records.

International journal of medical informatics Jan 21, 2026

BACKGROUND: Healthcare data, generally available as electronic health records (EHR), provide rich insights for predictive modelling. A common challenge in using EHR data is the missing information, which may occur completely at random (MCAR), at rand... read more

Study on methods for measuring beef color and predicting storage time based on computer vision.

Meat science Jan 21, 2026

In this study, a non-destructive and accurate method based on computer vision and machine learning was developed to measure beef surface color and to predict storage time and the relative proportion of oxymyoglobin. Images of the Longissimus thoracis... read more

Lifelong knowledge graph embedding via diffusion model.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026

Lifelong knowledge graph embedding (KGE) methods aim to learn new knowledge continuously while retaining old knowledge. This line of work has received much attention for its potential to enable knowledge retention and transfer and to reduce training ... read more

Artificial intelligence and machine learning driven nanorobotics for targeted brain delivery: Redefining blood-brain barrier navigation.

Journal of neuroscience methods Jan 21, 2026

The blood-brain barrier (BBB) plays a central role in preserving central nervous system (CNS) homeostasis, and its dysfunction is implicated in various neurological disorders and brain malignancies. To emulate the complex architecture and signaling e... read more

Syntactic complexity of written text as a structural linguistic marker of depressive symptoms.

Journal of affective disorders Jan 21, 2026

BACKGROUND: Language analysis methods have been increasingly explored for the detection of depressive symptoms. However, current approaches have largely focused on analysing the thematic content of language, while the underlying structure and grammat... read more

Thinking about tomorrow: A population-based natural language processing analysis of young adults' hopes and worries for the future.

Journal of affective disorders Jan 21, 2026

BACKGROUND: The recent declines in youth mental health highlight the need for research into the factors underlying distress and those that foster well-being. Open-ended text responses offer the potential to reveal novel insights, but remain an underu... read more

The role of the kynurenine pathway in the pathophysiology of autism-like phenotype induced by maternal inflammation in male mice.

Neurobiology of disease Jan 21, 2026

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with core symptoms that may include deficits in communication, social challenges, and repetitive/stereotyped behavior. The etiology of ASD is not well defined, but both genetic and envir... read more

Machine learning-based prediction of carbohydrate productivity in continuous cultivation of Chlorella vulgaris.

Bioresource technology Jan 21, 2026

Predicting carbohydrate productivity in continuous microalgae cultivation systems remains a significant technical challenge due to the non-linear nature of metabolic pathways under multiple stresses. This study applied Machine Learning (ML) models to... read more

A Machine Learning Approach to Deciphering the Genomic Basis of Host Specificity and Geographic Origin in Salmonella Kentucky.

Journal of food protection Jan 21, 2026

In the U.S., Salmonella Kentucky is frequently isolated from food animals, but human cases are often linked to international travel. The objectives of this study were to utilize machine learning models to predict the animal hosts (bovine or poultry) ... read more

Localization of the Berger effect in human posterior brain regions with simultaneous electroencephalogram (EEG) and stereo-EEG (SEEG) recordings.

NeuroImage Jan 21, 2026

The Berger effect, characterized by a marked increase in alpha power (8-13 Hz) upon eye closure, is a fundamental neurophysiological phenomenon whose underlying neural networks and generating mechanism is not fully understood. To delineate this netwo... read more

Artificial Intelligence Medical Compendium