disease
PulseAugur coverage of disease — every cluster mentioning disease across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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American Medical Association classifies nearsightedness as a disease
The American Medical Association has officially recognized nearsightedness, or myopia, as a disease. This classification aims to encourage more proactive eye care and preventative measures against severe vision loss. Th…
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AI worsens body image, epigenome editing advances, and $20M funding round reported
The wellness economy is grappling with several key issues this week, including the negative impact of AI-generated thin ideals on body image. Additionally, advancements in epigenome editing are offering new approaches t…
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Biomedical AI research focuses on trust via quantitative evidence and explainable uncertainty
Two new research papers propose advancements in biomedical AI, focusing on enhancing the reliability and trustworthiness of AI systems in healthcare. The first paper advocates for quantitative evidence mining, which ext…
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Hidden 'on switch' in human DNA decoded, advancing personalized medicine
Researchers have identified a previously unknown "on switch" within human DNA, a discovery that could significantly advance personalized medicine and the understanding of diseases. This breakthrough involves the decodin…
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New MobenFL benchmark evaluates federated learning for medical imaging
Researchers have developed MobenFL, a new benchmark designed to evaluate federated learning algorithms in medical imaging. This benchmark addresses limitations in existing systems by integrating 20 state-of-the-art algo…
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Nanobodies engineered to light up cellular processes
Researchers have developed a novel method using nanobodies, which are smaller antibody fragments, to visualize processes within living cells. These specially engineered nanobodies are tagged with fluorescent labels and …
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New framework uses conditional diffusion models for multimodal federated learning
Researchers have developed a new framework called CondI to address missing data in multimodal federated learning, particularly in clinical settings. This approach uses conditional diffusion models to explicitly impute u…