Extracting structured data from unstructured breast imaging reports with transformer-based models. [PDF]
Carrilero-Mardones M +3 more
europepmc +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
Hybrid model for classifying Indo Aryan and Tamil texts from historic manuscripts. [PDF]
Dinesh PM +3 more
europepmc +1 more source
Endocytic Control of Cell‐Autonomous and Non‐Cell‐Autonomous Functions of p53
NUMB Ex3‐containing isoforms localize to the plasma membrane, where they recruit p53 through SNX9 and direct it to multivesicular bodies and exosomes. Exported p53 is taken up by neighboring cells and activates nuclear programs, revealing an intercellular, exosome‐based pathway that might help establish a tumor‐suppressive microenvironment.
Roberta Cacciatore +20 more
wiley +1 more source
Transformer-based models for ADR detection: cross-drug validation and benchmarking against large language models. [PDF]
Kim M +5 more
europepmc +1 more source
Principles for Rigorous Design and Application of Synthetic Microbial Communities
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang +21 more
wiley +1 more source
A Museum artifact classification model based on cross-modal attention fusion and generative data augmentation. [PDF]
Lu Y, Li J, Li L, Yuan C.
europepmc +1 more source
OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu +17 more
wiley +1 more source
AI-powered mental health application with data privacy preservation. [PDF]
Bagane P +5 more
europepmc +1 more source

