PubMed
PulseAugur coverage of PubMed — every cluster mentioning PubMed across labs, papers, and developer communities, ranked by signal.
12 day(s) with sentiment data
-
Militarized language in scientific abstracts rises 48%, erodes credibility
A study analyzing 21.4 million scientific papers from 2010-2025 reveals a significant increase in the use of militaristic language within abstracts. This trend, which accelerated after 2019 and is particularly pronounce…
-
Google's Gemini and Gemma LLMs improve EQ-5D study identification in PubMed
Researchers have developed a novel framework using ensembles of Google's Gemini and Gemma large language models to automate the identification of EQ-5D studies within the PubMed database. This multi-phase approach integ…
-
AI system Starling autonomously creates large, nuanced biomedical datasets from PubMed
Researchers have developed a novel LLM-based pipeline to autonomously transform the vast PubMed corpus into structured biomedical datasets. This system, named Starling, can process millions of research papers to extract…
-
New SenFlow method improves AI-generated text detection in hybrid documents · 2 sources tracked
Researchers have developed SenFlow, a novel method for detecting AI-generated text in documents co-authored by humans and AI. Unlike previous approaches that analyze sentences in isolation, SenFlow models inter-sentence…
-
LLM Features Can Harm GNN Performance on Homophilous Graphs
A new research paper reveals that incorporating features generated by large language models (LLMs) into graph neural networks (GNNs) can sometimes decrease performance on specific benchmarks. This effect, termed 'concat…
-
New dataset MetaSyn benchmarks LLM agents on scientific meta-analysis tasks · 4 sources tracked
Researchers have introduced MetaSyn, a new dataset comprising 442 expert-curated meta-analyses from Nature Portfolio journals, designed to benchmark Large Language Model (LLM) agents in scientific reasoning. The dataset…
-
New Corpus Enhances AI Information Extraction for Autoimmunity Research
Researchers have developed AAbAAC, a new annotated corpus specifically for autoimmunity information extraction. This corpus, containing 115 PubMed abstracts, focuses on entities like autoimmune diseases, autoantibodies,…
-
Singapore charges firm and boss over sinkhole incident
Singapore has charged Ohin Construction and its managing director, Ivan Ong Khiaw Yang, with multiple offenses related to a sinkhole incident on Tanjong Katong Road South. The company's construction work allegedly cause…
-
New dataset structures 23M PubMed abstracts for AI analysis
Researchers have introduced "Structured PubMed," a large dataset containing over 23.2 million biomedical abstracts from PubMed. This dataset aims to improve information retrieval and text mining by providing section-lab…
-
New benchmark DocHop-QA tests multi-hop reasoning on scientific documents
Researchers have introduced DocHop-QA, a new benchmark designed to evaluate multi-hop reasoning capabilities over multimodal scientific documents. This benchmark addresses the limitations of existing QA datasets by inco…
-
AI pipeline optimizes epilepsy neurostimulation for worst-case patient outcomes
Researchers have developed a novel literature-guided minimax optimization pipeline to design more robust virtual epilepsy neurostimulation protocols. This approach couples large language models with simulations to maxim…
-
Japanese survey examines AI use by healthcare workers and public
A survey in Japan explored the routine use and acceptance of generative AI among healthcare workers and the general public. The study aimed to understand how these groups interact with and perceive AI in medical context…
-
UniD3 framework uses KG-RAG for drug-disease discovery
Researchers have developed UniD$^3$, a novel framework that combines Large Language Models with Knowledge Graph-enhanced Retrieval-Augmented Generation (KG-RAG) for drug-disease discovery. This system processes biomedic…
-
Biomedical AI biased by data, risking healthcare disparities
A new perspective paper highlights significant biases in biomedical AI, stemming from data collection and research prioritization rather than just clinical implementation. Analysis of omics publications and large datase…
-
Amazon Quick Research integrates LLMs to speed up cancer studies
Amazon has launched Amazon Quick Research, a new tool designed to streamline rare cancer research by integrating diverse biomedical data sources. The platform uses LLMs to synthesize information from databases like PubM…
-
New PubMedCausal Corpus Enhances Biomedical Causal Relation Extraction
Researchers have introduced PubMedCausal, a new corpus designed for causal relation extraction in biomedical text. This dataset, derived from PubMed abstracts, offers span-level annotations for 3,945 causal rows and 6,4…
-
Science infrastructure adapts for AI integration
The scientific community relies on a robust infrastructure for managing identity, provenance, and integrity in research. Systems like arXiv, DOIs, and ORCID are crucial for scientific publishing and knowledge disseminat…
-
AI firms' use of open science data sparks collaboration vs. privatization debate
AI companies are extensively using open science infrastructure like arXiv, ORCID, and PubMed for their research. This practice raises questions about whether it represents genuine collaboration or a form of privatizatio…
-
New temporal knowledge graph enhances LLM clinical reasoning
Researchers have developed ChronoMedKG, a novel biomedical knowledge graph that incorporates temporal information crucial for clinical reasoning. Unlike existing static KGs, ChronoMedKG links disease associations to spe…
-
GraphRAG cuts LLM token use by retrieving connected knowledge
Two projects developed using TigerGraph's GraphRAG approach demonstrate its effectiveness in reducing token usage and improving answer quality for large language models. These systems, one focused on cybersecurity and t…