Using Large Language Models to Identify Social Determinants of Health from Electronic Health Records Background and Research Motivation Social Determinants of Health (SDOH) have a significant impact on patient health outcomes. However, these factors are often incompletely recorded or missing in the structured data of Electronic Health Records (EHR)...
Mesenchymal Stromal Cells with Chimeric Antigen Receptors for Enhanced Immunosuppression Background Mesenchymal Stromal Cells (MSCs) are pluripotent cells found in almost all tissues and possess significant immunosuppressive and regenerative properties. These features make MSCs widely studied for the treatment of immune diseases and tissue regenera...
The Gating Role of Cortical Transfer of Socially Derived Information in Emotion Recognition Background Introduction Emotion recognition and the subsequent responses are crucial for survival and maintaining social functions. However, how social information is processed to reliably recognize emotions remains unclear. In this new study, the authors re...
Background Introduction Over the long term, normative and descriptive models have been trying to explain and predict human decision-making behavior in the face of risk choices such as products or gambling. A recent study discovered a more accurate human decision model by training Neural Networks (NNs) on a new large-scale online dataset called choi...
Languages with Higher Information Density Exhibit Faster Communication but Lower Conversational Breadth Background Human languages exhibit extensive differences in encoding information. These differences have been studied extensively within certain semantic domains, such as time, space, color, human body parts, and activities. However, there has be...
Academic News Report: Revealing Effector-Independent Evidence Accumulation Dynamics from Intracranial Electrophysiological Recordings Research Background The neural mechanisms underlying the decision-making process have long been a significant topic in neuroscience. Previous studies have indicated that it is possible to identify neural signals rela...
Background Introduction In contemporary neuroscience research, dopamine and serotonin are hypothesized to be crucial neuromodulators guiding social behavior. However, there is a significant lack of understanding regarding the dynamic changes of these neuromodulators during social interactions. Although non-invasive functional neuroimaging methods (...
Current Situation Nowadays, large language models (LLMs) have demonstrated expert-level performance in multiple fields, which has sparked great interest in understanding their internal reasoning processes. Comprehending how LLMs generate these remarkable results is crucial for the future development of artificial intelligence agents and ensuring th...