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ENTITY All of Us

All of Us

PulseAugur coverage of All of Us — every cluster mentioning All of Us across labs, papers, and developer communities, ranked by signal.

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Total · 30d
5
5 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
4
4 over 90d
TIER MIX · 90D
TOPICS
RELATIONSHIPS
SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. COMMENTARY · CL_279294 ·

    GNOME developers struggle with software quality and security due to unsafe languages

    A blog post by Michael Catanzaro discusses the challenges of maintaining software quality, particularly concerning security, within the GNOME project. Catanzaro argues that the use of unsafe programming languages by dev…

  2. TOOL · CL_252057 ·

    Patient survey data boosts opioid use disorder prediction accuracy

    A new study published on arXiv demonstrates that incorporating patient-reported survey data significantly enhances the prediction of opioid use disorder (OUD) when combined with electronic health records (EHRs). Researc…

  3. TOOL · CL_187186 ·

    New RQDTR framework optimizes clinical treatment risk and efficacy

    Researchers have introduced Risk-Aware Quantile Dynamic Treatment Regimes (RQDTR), a novel framework designed to enhance sequential clinical decision-making. This approach goes beyond simply maximizing average efficacy …

  4. TOOL · CL_131535 ·

    New framework simulates patient interactions to assess healthcare AI risks

    Researchers have developed a patient simulation framework to assess the risks associated with conversational healthcare AI, aligning with the NIST AI Risk Management Framework. This simulator integrates medical, linguis…

  5. TOOL · CL_21897 ·

    AI model predicts chronic rhinosinusitis using nationwide EHR data

    Researchers have developed a new method to predict chronic rhinosinusitis (CRS) using nationwide electronic health record (EHR) data. The approach leverages two years of pre-diagnostic history and a hybrid feature-selec…

  6. RESEARCH · CL_20266 ·

    New method tackles missing covariate data in large-scale population studies

    Researchers have developed a new augmented transfer regression learning method to address situations where crucial covariates are entirely missing in a target population, a common issue with large datasets like the UK B…