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Associations of depressive symptoms and cortisol with cognitive performance among memory clinic patients.
Int Psychogeriatr
March 2025
Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Cognitive Disorders Clinic, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden. Electronic address:
Objective: Test the hypothesis that depressive symptoms are associated with cognitive performance and that cortisol levels may explain this association independently of Alzheimer's Disease (AD) biomarker levels.
Design: Longitudinal observational study.
Setting: Memory clinic, Karolinska University Hospital, Stockholm, Sweden.
Bioethics Artificial Intelligence Advisory (BAIA): An Agentic Artificial Intelligence (AI) Framework for Bioethical Clinical Decision Support.
Cureus
March 2025
Responsible AI, Kaiser Permanente, Oakland, USA.
Healthcare professionals face complex ethical dilemmas in clinical settings in cases involving end-of-life care, informed consent, and surrogate decision-making. These nuanced situations often lead to moral distress among care providers. This paper introduces the Bioethics Artificial Intelligence Advisory (BAIA) framework, a novel and innovative approach that leverages artificial intelligence (AI) to support clinical ethical decision-making.
View Article and Find Full Text PDFPathological expression of mitochondrial genome-derived circRNA SCAR/mc-COX2 and its ceRNA network in colorectal cancer: implications for clinical significance.
BMC Cancer
March 2025
Cellular and Molecular Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Background: Mitochondrial-encoded circular RNAs (mecciRNAs) are a newly discovered class of mitochondrial-encoded non-coding RNAs (mt-ncRNAs) that play important biological roles in the cell. This study aimed to examine the expression profile of SCAR/mc-COX2 (has_circ_0089762) in colorectal cancer (CRC) and its relationship with clinicopathological variables. Furthermore, to better understand SCAR/mc-COX2's functional role in CRC, we constructed a competing endogenous RNA (ceRNA) network.
View Article and Find Full Text PDFEnhancing diagnostic capability with multi-agents conversational large language models.
NPJ Digit Med
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Sports Medicine Center, Department of Orthopedics and Orthopedic Research Institute, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Large Language Models (LLMs) show promise in healthcare tasks but face challenges in complex medical scenarios. We developed a Multi-Agent Conversation (MAC) framework for disease diagnosis, inspired by clinical Multi-Disciplinary Team discussions. Using 302 rare disease cases, we evaluated GPT-3.
View Article and Find Full Text PDFTCMEval-SDT: a benchmark dataset for syndrome differentiation thought of traditional Chinese medicine.
Sci Data
March 2025
Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
This paper presents a large publicly available benchmark dataset (TCMEval-SDT) for the thought process involved in syndrome differentiation in traditional Chinese medicine (TCM). The dataset consists of 300 TCM syndrome diagnosis cases sourced from the internet, classical Chinese medical texts, and medical records from hospitals, with metadata adhering to the Findable, Accessible, Interoperable, and Reusable (FAIR) principles. Each case has been annotated and curated by TCM experts and includes medical record ID, clinical data, explanatory summary, TCM syndrome, clinical information, and TCM pathogenesis, to support algorithms or models in emulating the diagnostic process of TCM clinicians.
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