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
AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors. [PDF]
Naveen K, Parvathi RMS.
europepmc +1 more source
A Distributed Ranking Algorithm for the iTrust Information Search and Retrieval System
Boyang Peng +4 more
openalex +1 more source
Mutant p53 drives oncogenic splicing to promote the progression of ovarian cancer by partnering with the spliceosome factor SNRPD2. Therefore, it is engineered iRGD‐exosomes to co‐deliver siRNAs against both targets. This approach restored tumor‐suppressive mRNA isoforms, effectively enhanced sensitivity to cisplatin, and ultimately blocked tumor ...
Wei Zhao +14 more
wiley +1 more source
AI for evidence-based treatment recommendation in oncology: a blinded evaluation of large language models and agentic workflows. [PDF]
Zhai G +7 more
europepmc +1 more source
Scalable Content-Based Ranking in P2P Information Retrieval
Maroje Puh +3 more
openalex +2 more sources
This study reveals that XBP1s drives production of circTspan3, a circular RNA that strengthens cartilage by boosting anabolic activity and limiting cell death. Phosphorylated ANXA2 directs circTspan3 into exosomes, enabling paracrine repair. Exosomal circTspan3 expands growth‐plate cartilage and promotes in vivo regeneration, highlighting its promise ...
Yiming Pan +16 more
wiley +1 more source
Automated Filtering and Visualization of Patient-Centered Data from Electronic Health Records in Emergency Care: A Scoping Review. [PDF]
Lenz J, Richter I, Meister S.
europepmc +1 more source
Temporal ranking for fresh information retrieval [PDF]
Nobuyoshi Sato +2 more
openalex +1 more source
Learned Conformational Space and Pharmacophore Into Molecular Foundational Model
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang +8 more
wiley +1 more source

