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Enhancing diagnostic capability with multi-agents conversational large language models.
NPJ Digit Med
March 2025
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 PDFCollective pronouns, collective health actions: Predicting pandemic precautionary measures through online first-person plural pronoun usage across U.S. states.
Soc Sci Med
September 2024
Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong.
The COVID-19 pandemic has underscored the role of group identification in shaping collective health behaviors. Using the novel Pronoun-Influenced Collective Health Model - an integrated framework combining elements from health and social psychology theories - we investigated the relationship between online first-person plural pronoun usage and adherence to COVID-19 preventive measures across the United States. Analyzing weekly Google Trends data on English (Study 1) and Spanish (Study 2) first-person pronoun searches, alongside data on adherence to pandemic precautionary measures from early 2020 to late 2022, we found significant positive associations between relative first-person plural pronoun search volumes and adherence to social distancing, stay-at-home orders, vaccination rates, and proactive disease prevention information seeking.
View Article and Find Full Text PDFMultimodal, Technology-Assisted Intervention for the Management of Menopause after Cancer Improves Cancer-Related Quality of Life-Results from the Menopause after Cancer (Mac) Study.
Cancers (Basel)
March 2024
UCD Gynaecological Oncology Group, UCD School of Medicine, Mater Misericordiae University Hospital, Eccles Street, D07 AX57 Dublin, Ireland.
Article Synopsis
- The Menopause after Cancer (MAC) Study investigated a comprehensive approach to alleviate vasomotor symptoms (VMS) in women who have undergone cancer treatment, utilizing non-hormonal medications, digital cognitive behavioral therapy, self-management strategies, and support person involvement.* -
- Results showed that after six months, participants experienced a significant improvement in overall quality of life and a notable reduction in both the frequency and interference of VMS, alongside a substantial decrease in insomnia.* -
- The study highlights that targeted interventions can be effective in managing menopause-related symptoms in cancer survivors, leading to improved well-being and sleep.*
Q-learning and fuzzy logic multi-tier multi-access edge clustering for 5g v2x communication.
Network
February 2025
Department of Computer science and Engineering, PSNA college of Engineering and Technology, Dindigul, Tamil Nadu, India.
The 5th generation (5 G) network is required to meet the growing demand for fast data speeds and the expanding number of customers. Apart from offering higher speeds, 5 G will be employed in other industries such as the Internet of Things, broadcast services, and so on. Energy efficiency, scalability, resiliency, interoperability, and high data rate/low delay are the primary requirements and obstacles of 5 G cellular networks.
View Article and Find Full Text PDFTechnical Note: mzML and imzML Libraries for Processing Mass Spectrometry Data with the High-Performance Programming Language Julia.
Anal Chem
March 2024
Center for Research and Advanced Studies (CINVESTAV) Irapuato, UGA-Langebio, Km. 9.6 Libramiento Norte Carr. Irapuato-León, 36824 Irapuato, Guanajuato, Mexico.
Julia combines the virtues of high-level and low-level programming languages: The code is human-readable, and the performance of the created binaries competes with machine-orientated compilers. Thus, Julia is popular in "Big Data" sciences. Reading mass spectrometry (MS) data with Julia was impossible until now due to missing libraries.
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