PubMed Central
PulseAugur coverage of PubMed Central — every cluster mentioning PubMed Central across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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AI workflow extracts protein degradation data from scientific papers
Researchers have developed an expert-in-the-loop large language model workflow to extract structured assay data from scientific publications, particularly in the field of targeted protein degradation (TPD). This method,…
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RetiJev decision models offer faster, more accurate ophthalmic AI
Researchers have developed RetiJev, a new family of decision models designed for ophthalmic clinical support that bypasses the latency of autoregressive large language models. These models directly score candidate answe…
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AI answers reshape brand visibility, demanding new 'GEO' strategies
The way brands gain visibility is shifting from traditional search engine optimization (SEO) to generative engine optimization (GEO), as AI models like ChatGPT, Gemini, and Claude increasingly provide direct answers rat…
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FigEx2 framework extracts and captions data from scientific figures
Researchers have developed FigEx2, a novel framework designed to extract and caption information from scientific compound figures. This system addresses the issue of figures lacking captions, which are often discarded b…
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AI-assisted writing detected in 90% of biomedical papers by late 2025
A study estimates that a significant majority of biomedical research papers published in PubMed Central show signs of AI-assisted writing. By December 2025, this figure is projected to reach 90%, with 77% for the entire…
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Study: 89% of biomedical papers show LLM-assisted writing by 2025
A new study utilizing an unbiased approach to estimate LLM usage in academic writing suggests that by the end of 2025, a significant majority of biomedical publications will show signs of LLM-assisted content. Researche…
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New dataset and LLM pipeline analyze AI's impact on biomedical journals
Researchers have developed BioMedJImpact, a new dataset and pipeline designed to analyze the impact of artificial intelligence (AI) on biomedical journals. The dataset, derived from over 1.74 million articles across 2,7…
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LLMs reshape scientific exploration, collaboration, and labor division
A new study analyzing scientific publication data from 2022 onwards reveals that the widespread adoption of large language models (LLMs) has coincided with a significant reorganization of scientific research. Scientists…
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MedPMC framework creates high-fidelity medical multimodal datasets from literature
Researchers have developed MedPMC, a framework designed to create high-fidelity medical multimodal datasets from scientific literature. This system processes millions of articles from PubMed Central to curate image-text…
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MedPMC framework scales medical image-text data for foundation models
Researchers have developed MedPMC, a framework designed to systematically scale high-fidelity medical multimodal data for foundation models. This automated system processes permissively licensed literature from PubMed C…
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AI-generated citations found in thousands of biomedical papers
A recent study published in The Lancet revealed a significant increase in AI-fabricated citations within biomedical journal articles. Researchers developed an AI-powered system to analyze over 2.4 million papers, identi…
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AI hallucinations insert fake citations into scientific papers
AI tools are increasingly inserting fabricated references into academic papers, a phenomenon that risks undermining the scientific process. A study of biomedical literature found over 4,000 fake citations across nearly …
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Developer benchmarks RAG pipelines on Indian health literature
A developer is building a system to benchmark retrieval-augmented generation (RAG) pipelines using Indian public health literature. The platform will compare three AI retrieval methods on approximately 9,000 research pa…
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Medical thinking with multiple images
Researchers have developed MIRAGE, a system designed to aid medical education by retrieving and generating multimodal medical images and texts. MIRAGE utilizes a fine-tuned CLIP model (MedICaT-ROCO) and a diffusion mode…
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New AI models and datasets advance vision-language capabilities in ophthalmology and surgery
Researchers have introduced PubMed-Ophtha, a new dataset comprising over 100,000 ophthalmology image-caption pairs extracted from scientific literature. This dataset aims to address the scarcity of high-quality data for…
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New research tackles LLM hallucinations with novel methods and benchmarks
Multiple research papers released on arXiv address the challenge of hallucinations in large language and vision-language models. One paper introduces In-Context Visual Contrastive Optimization (IC-VCO) to mitigate multi…