Sudden complexity just 65 million years ago
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Dec-2025 19:11 ET (31-Dec-2025 00:11 GMT/UTC)
Recurrent spontaneous abortion (RSA) is a complex, multifactorial condition that presents significant diagnostic challenges. Current clinical guidelines are often inadequate for idiopathic cases or emerging biomarkers, and artificial intelligence (AI) models struggle to integrate multimodal data.
To address these issues, this research developed RSA-KG, a graph-based, RAG-enhanced AI knowledge graph. The system synthesizes multimodal clinical data by integrating 5 international RSA guidelines, utilizing natural language processing (NLP) and multimodal models for data processing.
Evaluations demonstrated that Large Language Models (LLMs) enhanced by RSA-KG significantly outperformed both naive retrieval-augmented generation (RAG) and raw models in diagnostic accuracy. Furthermore, reproductive specialists rated the outputs from the RSA-KG system more favorably than those from raw models or other medical LLMs. RSA-KG represents a novel approach to RSA management, overcoming the limitations of traditional AI by modeling systemic interactions and integrating real-time evidence.
Plankton are tiny and highly diverse marine organisms that can act as indicators for the health and biodiversity of ecosystems in the face of factors such as climate change. In one of the largest studies of its kind, researchers used a technique called ultrastructure expansion microscopy to extensively study the cellular structure of over 200 planktonic marine microbes. The study, recently published in the journal Cell, was part of a plug-in project for the EMBL-led Traversing European Coastlines (TREC) expedition, and takes the first steps towards a planetary atlas of plankton.