schizophrenia
PulseAugur coverage of schizophrenia — every cluster mentioning schizophrenia across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Cannabis Use Disorder Rises Sharply in US Adults, Study Finds
A new study published in JAMA Psychiatry reveals a significant increase in Cannabis Use Disorder (CUD) among American adults between 2021 and 2024. The research, which analyzed data from over 180,000 individuals, found …
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New Scientific Agentic Foundation Model Intern-S2-Preview Unveiled
Researchers have introduced Intern-S2-Preview, a series of scientific agentic foundation models designed to advance scientific discovery. These models are capable of multimodal understanding, reasoning, and long-horizon…
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AI aids schizophrenia research; Google readies Pixel 11 launch
Artificial intelligence is being utilized to unravel the complex genetic factors contributing to schizophrenia. Recent advancements have yielded a highly detailed understanding of schizophrenia's genetic underpinnings, …
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AI aids in unraveling schizophrenia's genetic puzzle
AI is being utilized to unravel the complex genetic factors contributing to schizophrenia. Recent research has provided an unprecedentedly detailed view of the disorder's genetic architecture, paving the way for new res…
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AI helps map 766 genes linked to schizophrenia network
A recent study published in Nature Genetics utilized AI to analyze genetic data from over 102,000 individuals, identifying 766 genes associated with schizophrenia. This research, involving scientists from the Lieber Ins…
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Vision-Language Model Platform Aids Schizophrenia Cognitive Remediation
Researchers have developed an interactive platform utilizing vision-language models to objectively assess patient actions in cognitive remediation therapy for schizophrenia. The system analyzes video feeds of patients m…
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Wavelet Scattering Transform identifies schizophrenia biomarkers in EEG data
Researchers have developed a novel framework using the Wavelet Scattering Transform (WST) to identify biomarkers for schizophrenia from resting-state EEG data. This method addresses limitations of previous approaches by…
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Deep learning models for schizophrenia diagnosis often use implausible data
A recent study found that only two out of seven deep learning models used for diagnosing schizophrenia base their assessments on plausible brain information. The remaining models, despite achieving similar classificatio…
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New research explores how grammar reduces meaning uncertainty across languages
A new research paper explores how grammar reduces meaning uncertainty in language across different languages. The study found that contextual surprisal, influenced by grammar, significantly lowers uncertainty compared t…