AIMC Topic: Phenotype

Clear Filters Showing 21 to 30 of 1034 articles

Novel heterozygous mutation in KMT2B causing an unusual phenotypic presentation: a comprehensive clinical and bioinformatic analysis.

Molecular biology reports
BACKGROUND: KMT2B-related dystonia is a childhood-onset movement disorder. This study investigated a novel KMT2B gene variant using whole exome sequencing (WES) and bioinformatics analysis, and expanded the known clinical spectrum of KMT2B-related dy...

Quantitative cytoarchitectural phenotyping of deparaffinized human brain tissues.

Communications biology
Advanced 3D imaging techniques and image segmentation and classification methods can transform biomedical research by offering insights into the human brain cytoarchitecture under pathological conditions. We propose a comprehensive pipeline for 3D im...

Generative Models and Sentence Transformers for the Recognition and Normalization of Continuous and Discontinuous Phenotype Mentions: Model Development and Evaluation.

JMIR medical informatics
BACKGROUND: Extracting genetic phenotype mentions from clinical reports and normalizing them to standardized concepts within the human phenotype ontology are essential for consistent interpretation and representation of genetic conditions. This is pa...

An exploratory machine learning study on paediatric abdominal pain phenotyping and prediction.

PloS one
BACKGROUND: The exact mechanisms underlying paediatric abdominal pain (AP) remain unclear due to patient heterogeneity. This preliminary study aimed to identify AP phenotypes and develop predictive models to explore associated factors, with the goal ...

Advanced phenotyping features utilizing deep learning techniques for automated analysis of stomatal guard cell orientation.

Scientific reports
Stomata are vital for controlling gas exchange and water vapor release, which significantly affect photosynthesis and transpiration. Characterizing stomatal traits such as size, density, and distribution is essential for adaptation to the environment...

Functional biomaterials and machine learning approaches for phenotyping heterogeneous tumor cells and extracellular vesicles.

Biomaterials science
Heterogeneity in cancer is known to be a contributor to the formation of metastatic lesions, poor prognosis, and ultimately undermines therapeutic efficacy. This same tumor heterogeneity is reflected in circulating tumor cells (CTCs) and tumor derive...

Rapid key gene discovery for bacterial shape: a cross-species machine learning approach.

BMC microbiology
Accurately identifying genes responsible for specific functions is a cornerstone of biological research, but current methods are often limited to single-species analyses. Here, we present a novel method, called Genomic and Phenotype-based machine lea...

Fully Automated Image-Based Multiplexing of Serial PET/CT Imaging for Facilitating Comprehensive Disease Phenotyping.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Combined PET/CT imaging provides critical insights into both anatomic and molecular processes, yet traditional single-tracer approaches limit multidimensional disease phenotyping; to address this, we developed the PET Unified Multitracer Alignment (P...

High-density Phenotype Data of Intermediate Phenotypes Associated with Stalk Lodging Resistance in Maize.

Scientific data
Stalk lodging causes global maize (Zea mays L.) yield losses exceeding $6 billion annually. The poorly resolved genetic architecture of stalk lodging resistance, a key determinant of the ability of a plant to remain upright, poses a major constraint ...

Common genetic variation influencing the human lung imaging phenotypes.

Nature communications
Lung structures are critical for gas exchange and contribute to the pathogenesis of respiratory diseases, exhibiting notable lobe-specific heterogeneity. To investigate their genetic basis, we apply a deep-learning AI system and Pyradiomics to define...