Polygenic risk scores for cardiometabolic traits demonstrate importance of ancestry for predictive precision medicine [0.03%]
心血管代谢性状的多基因风险评分展示了系谱对于预测精准医学的重要性
Rachel L Kember,Shefali S Verma,Anurag Verma et al.
Rachel L Kember et al.
Polygenic risk scores (PRS) have predominantly been derived from genome-wide association studies (GWAS) conducted in European ancestry (EUR) individuals. In this study, we present an in-depth evaluation of PRS based on multi-ancestry GWAS f...
Polygenic risk scores for cardiometabolic traits demonstrate importance of ancestry for predictive precision medicine [0.03%]
心血管代谢性状的多基因风险评分展示了系谱对于预测型精准医学的重要性
Rachel L Kember,Shefali S Verma,Anurag Verma et al.
Rachel L Kember et al.
Polygenic risk scores (PRS) have predominantly been derived from genome-wide association studies (GWAS) conducted in European ancestry (EUR) individuals. In this study, we present an in-depth evaluation of PRS based on multi-ancestry GWAS f...
Yousuf Rajput,Tarek Tarif,Akira Wolfe et al.
Yousuf Rajput et al.
This paper examines the integration of artificial intelligence (AI) in point-of-care testing (POCT) to enhance diagnostic speed, accuracy, and accessibility, particularly in underserved regions. AI-driven POCT is shown to optimize clinical ...
Yousuf Rajput,Tarek Tarif,Akira Wolfe et al.
Yousuf Rajput et al.
This paper examines the integration of artificial intelligence (AI) in point-of-care testing (POCT) to enhance diagnostic speed, accuracy, and accessibility, particularly in underserved regions. AI-driven POCT is shown to optimize clinical ...
Indigenous Data Sovereignty, Circular Systems, and Solarpunk Solutions for a Sustainable Future [0.03%]
土著数据主权、循环系统及太阳能punk解决方案的可持续未来
Ka&#x;ulawena Alipio,Javier García-Colón,Nima Boscarino et al.
Ka&#x;ulawena Alipio et al.
Recent advancements in Artificial Intelligence (AI) and data center infrastructure have brought the global cloud computing market to the forefront of conversations about sustainability and energy use. Current policy and infrastructure for d...
Indigenous Data Sovereignty, Circular Systems, and Solarpunk Solutions for a Sustainable Future [0.03%]
土著数据主权、循环系统及太阳能punk解决方案的可持续未来
Ka&#x;ulawena Alipio,Javier García-Colón,Nima Boscarino et al.
Ka&#x;ulawena Alipio et al.
Recent advancements in Artificial Intelligence (AI) and data center infrastructure have brought the global cloud computing market to the forefront of conversations about sustainability and energy use. Current policy and infrastructure for d...
Earth Friendly Computation: Applying Indigenous Data Lifecycles in Medical and Sovereign AI [0.03%]
地球友好型计算：在医学和主权人工智能中应用土著数据生命周期
Keolu Fox,Krystal Tsosie,Alex Ioannidis et al.
Keolu Fox et al.
The following sections are included: Overview, Background & key terms, Earth Friendly Computation 574: Indigenous Data Sovereignty, Circular Systems, and Solarpunk Solutions for a Sustainable Future, AI in Point-of-Care: A Sustainable Healt...
Earth Friendly Computation: Applying Indigenous Data Lifecycles in Medical and Sovereign AI [0.03%]
地球友好型计算：在医学和主权人工智能中应用土著数据生命周期
Keolu Fox,Krystal Tsosie,Alex Ioannidis et al.
Keolu Fox et al.
The following sections are included: Overview, Background & key terms, Earth Friendly Computation 574: Indigenous Data Sovereignty, Circular Systems, and Solarpunk Solutions for a Sustainable Future, AI in Point-of-Care: A Sustainable Healt...
Opportunities and Pitfalls with Large Language Models for Biomedical Annotation [0.03%]
生物医学注释中大型语言模型的机会与陷阱
Cecilia Arighi,Jin-Dong Kim,Zhiyong Lu et al.
Cecilia Arighi et al.
Large language models (LLMs) and biomedical annotations have a symbiotic relationship. LLMs rely on high-quality annotations for training and/or fine-tuning for specific biomedical tasks. These annotations are traditionally generated throug...
Opportunities and Pitfalls with Large Language Models for Biomedical Annotation [0.03%]
生物医学注释中大型语言模型的机会与陷阱
Cecilia Arighi,Jin-Dong Kim,Zhiyong Lu et al.
Cecilia Arighi et al.
Large language models (LLMs) and biomedical annotations have a symbiotic relationship. LLMs rely on high-quality annotations for training and/or fine-tuning for specific biomedical tasks. These annotations are traditionally generated throug...