What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...

一、需求场景：AI特效生成本项目旨在为社交类APP集成AIGC驱动的个人宣传视频生成功能，通过AI技术将用户上传的真人图像，转化为具有动漫风格的个性化短视频，尤其聚焦于“真人变身跳舞动漫仙女”的特定场景。项目采用通义万相系列AIGC模型，结合定制化训 ...

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

1 Department of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China 2 Department of Pharmacy, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, ...

Please join the JHU CFAR Biostatistics and Epidemiology Methodology (BEM) Core on Thursday, September 4, 2025, from 2-3 pm ET for a session covering the fundamentals of causal inference. If you have ...

Recent statistics from the World Health Organization show that non-communicable diseases account for 74% of global fatalities, with lifestyle playing a pivotal role in their development. Promoting ...

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 ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Health Technology Assessment (HTA) for reimbursement of all new cancer drugs in the European Union (EU ...

Abstract: Causal inference enables us to move beyond merely observing correlations in understanding the actual causal relationships between variables, but how to connect it with machine learning model ...

In this valuable study, Li et al., set out to understand the mechanisms of audiovisual temporal recalibration - the brain's ability to adjust to the latency differences that emerge due to different ...