Cancer Gene Identification through Integrating Causal Prompting Large Language Model with Omics Data–Driven Causal Inference

Information Science, Artificial Intelligence, Medicine, Oncology, Life Sciences, Biochemistry, Genetics,
cancer genes   causality   large language model   multi-omics   causal learning  

Cancer gene identification is a core challenge in the fields of basic cancer research and precision medicine. Recently, a research team from Jilin University and Zhejiang Sci-Tech University published an original study titled “Cancer gene identification through integrating causal prompting large language model with omics data–driven causal inferenc...

CIGNN: A Causality-Informed and Graph Neural Network Based Framework for Cuffless Continuous Blood Pressure Estimation

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System,
cuffless blood pressure measurement   causality   ECG   pulse transit time   graph neural network   cardiac signals  

CIGNN: A Framework for Cuffless Continuous Blood Pressure Estimation Based on Causality and Graph Neural Networks Background Introduction According to data from the World Health Organization (WHO), approximately 1.13 billion people globally are affected by hypertension, and this number is expected to increase to 1.5 billion by 2025. Hypertension is...