Within the HiGHmed Project there are three medical use cases. The use cases include the scopes cardiology, oncology and infection. They serve to specify the requirements for the development and implementation of a local and federated platform, with the result that data from medical care and research should be retrievable, reusable and interchangeable. The Use Case Infection Control aims to establish an early detection of transmission events as well as clusters and outbreaks of various pathogens. Therefore the use case wants to establish the smart infection control system (SmICS).
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Vδ2 T-cells response in people with Mpox infection: a three-month longitudinal assessment.
Emerg Microbes Infect
January 2025
HIV/AIDS Unit, National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
The first evidence that Orthopoxvirus induced the expansion and the recall of effector innate Vδ2T-cells was described in a macaque model. Although, an engagement of αβ T-cells specific response in patients infected with human monkeypox (Mpox) was demonstrated, little is known about the role of γδ T-cells during Mpox infection. IFN-γ-producing γδ T-cells in the resistance to poxviruses may a key role in inducing a protective type 1 memory immunity.
View Article and Find Full Text PDFMicronutrient status and risk of Mycobacterium tuberculosis infection in Indonesian tuberculosis case contacts.
Trans R Soc Trop Med Hyg
January 2025
Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung 45363, Indonesia.
Background: Certain micronutrient levels have been associated with the risk of developing TB disease. We explored the possible association of selected at-risk micronutrient levels with the development of Mycobacterium tuberculosis (M.tb) infection.
View Article and Find Full Text PDFFacilitators and Barriers to COVID-19 Vaccine Uptake Among Meat Processing Workers in Nebraska: A Mixed-Methods Analysis Using the COM-B Model.
Health Promot Pract
January 2025
University of Nebraska Medical Center, Omaha, NE, USA.
The meat processing industry was significantly impacted by the COVID-19 pandemic. Deemed essential, the meat processing workforce faced the risk of exposure to the SARS-CoV-2 virus. Along with other essential workforces, meat processing workers were prioritized in the national approach to receive COVID-19 vaccines by the Centers for Disease Control and Prevention Advisory Committee on Immunization Practices.
View Article and Find Full Text PDFBetaine combined with traditional Chinese medicine ointment to treat skin wounds in microbially infected diabetic mice.
World J Diabetes
January 2025
Guangxi Clinical Medical Research Center for Hepatobiliary Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi Zhuang Autonomous Region, China.
Background: Skin wounds are highly common in diabetic patients, and with increasing types of pathogenic bacteria and antibiotic resistance, wounds and infections in diabetic patients are difficult to treat and heal.
Aim: To explore the effects of betaine ointment (BO) in promoting the healing of skin wounds and reducing the inflammation and apoptosis of skin cells in microbially infected diabetic mice.
Methods: By detecting the minimum inhibitory concentrations (MICs) of betaine and plant monomer components such as psoralen, we prepared BO with betaine as the main ingredient, blended it with traditional Chinese medicines such as gromwell root and psoralen, and evaluated its antibacterial effects and safety and .
Rapid and automated interpretation of CRISPR-Cas13-based lateral flow assay test results using machine learning.
Sens Diagn
December 2024
Department of Bioengineering, Rice University Houston TX 77030 USA
CRISPR-Cas-based lateral flow assays (LFAs) have emerged as a promising diagnostic tool for ultrasensitive detection of nucleic acids, offering improved speed, simplicity and cost-effectiveness compared to polymerase chain reaction (PCR)-based assays. However, visual interpretation of CRISPR-Cas-based LFA test results is prone to human error, potentially leading to false-positive or false-negative outcomes when analyzing test/control lines. To address this limitation, we have developed two neural network models: one based on a fully convolutional neural network and the other on a lightweight mobile-optimized neural network for automated interpretation of CRISPR-Cas-based LFA test results.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!