Tag: Homogeneity and heterogeneity

AIScienceTechnology

New AI Framework HONeYBEE Advances Multimodal Cancer Research with Foundation Models

A new AI framework called HONeYBEE is transforming multimodal cancer research by leveraging foundation models to generate standardized embeddings from diverse data types. The platform demonstrates exceptional performance in cancer classification, survival prediction, and patient similarity tasks. Researchers report the system effectively handles real-world clinical data constraints while supporting seamless integration with major biomedical repositories.

Revolutionizing Cancer Research with Multimodal AI

Researchers have developed a groundbreaking artificial intelligence framework designed to accelerate oncology research through advanced multimodal data integration, according to reports published in npj Digital Medicine. The platform, called HONeYBEE, leverages foundation model-driven embeddings to enable scalable analysis across diverse cancer data types, sources indicate.

by Megan Carter
GeneticsScience

Single-Cell Analysis Breakthrough Enhances Detection of Genetic Regulation in Immune Responses

Scientists have developed a novel framework that captures cellular response heterogeneity to boost discovery of genetic regulators in immune cells. The approach outperforms traditional methods in identifying context-dependent genetic effects relevant to autoimmune diseases and infections. Researchers demonstrated its utility across multiple pathogen stimulations using single-cell data from hundreds of donors.

Enhanced Detection of Genetic Regulators in Cellular Responses

Researchers have developed a new analytical framework that significantly improves the detection of genetic variants that influence gene expression in response to cellular perturbations, according to a recent study published in Nature Genetics. The approach models expression quantitative trait loci (eQTLs) using a continuous perturbation score rather than binary states, reportedly increasing statistical power to identify response eQTLs (reQTLs) that change under experimental conditions.

by Megan Carter