Abstract: This paper introduces CLARiC (Contrastive Learning and Root-cause Inference with Causality), a next-generation AI framework that unifies anomaly detection, causal inference, and explainable ...
Acer is making a strong push into the AI inference market through strategic collaborations with MediaTek and Nvidia. On the eve of the Berlin IFA, Acer held its "next@acer" global product launch event ...
Gary Seidman profiles Stanford economist Guido Imbens, who is reshaping how researchers establish cause and effect in the real world So Imbens and his colleagues designed and tested sharper tools to ...
Please provide your email address to receive an email when new articles are posted on . Rentosertib was shown to be safe in a 12-week phase 2a trial in China. Two doses improved FVC vs. placebo.
ABSTRACT: The relationship between chance and determinism has been analyzed by philosophy, mathematics, and physics. With the aim of identifying the intersection between the two, the Law of ...
Electrocardiogram (ECG) is a graphical representation of the electrical activity of the heart and plays a crucial role in diagnosing heart disease and assessing cardiac function. In the context of ...
Join us for a dynamic discussion celebrating the launch of Causal Inference and the People's Health, exploring the role of causal inference in advancing health equity and social justice. The symposium ...
This is a preview. Log in through your library . Abstract David Hume and other philosophers doubt that causality can be perceived directly. Instead, observers become aware of it through inference ...
SIRI is a novel inflammatory marker significantly associated with increased COPD risk, outperforming other markers in predictive value. The study used NHANES data and multifactorial logistic ...
Hemoglobin is a protective factor against C-reactive protein in rheumatoid arthritis, potentially slowing disease progression. A significant correlation between hemoglobin and CRP was found, even ...
Betsy Ogburn, PhD, MS, is a professor in the Department of Biostatistics, where she works on causal inference, including interference and social networks, measurement error, semiparametric estimation, ...