One of the most commonly applied vaccination strategies against chicken infectious bursal disease (IBD) is the use of live vaccines at the optimal time estimated with the use of Deventer formula. The present study investigated the impact of different factors on maternally derived antibodies decline and therefore on the vaccination schedule against IBD. Our results suggest that blood collection from birds older than 3 days is more reliable in order to estimate the optimal date for IBD vaccination, due to disturbances in yolk sac resorption early after hatch.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1515/pjvs-2016-0053 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Randomized, Controlled Trial of In-Hospital Use of Virtual Reality to Reduce Preoperative Anxiety Prior to Cardiac Surgery.
Mayo Clin Proc
January 2025
Departments of Cardiovascular Surgery, Mayo Clinic, Rochester, MN, USA; Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA; Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA. Electronic address:
Objective: To study the effectiveness of virtual reality (VR) in reducing anxiety levels in patients undergoing first-time sternotomy for cardiac surgery.
Patients And Methods: A total of 100 adult patients scheduled for cardiac surgery at Mayo Clinic in Rochester, Minnesota, USA, was recruited from April 19, 2022, to October 12, 2022. Before surgery, patients wore a physiological monitor to record vital signs.
A Comprehensive Review of the Recent Developments in the Electroanalytical Methods for the Therapeutic Monitoring of Antiepileptic Drugs.
Crit Rev Anal Chem
January 2025
Chemistry Department, Faculty of Science, Cairo University, Giza, Egypt.
Epilepsy is a serious neurological disease that impacts all facets of a patient's life, including their socioeconomic situation. The failure to identify underlying epileptic signatures in their early stages might result in severe harm to the central nervous system (CNS) and permanent adverse changes to some organs. Therefore, numerous antiepileptic drugs (AEDs are frequently used to control and treat the frequency of seizures.
View Article and Find Full Text PDFNo Association Between Donor Variables and Clinically Significant Outcomes, Reoperations, and Failure After Osteochondral Allograft Transplantation.
Am J Sports Med
January 2025
Midwest Orthopaedics at Rush University Medical Center, Chicago, Illinois, USA.
Background: Mismatch between osteochondral allograft (OCA) donor and recipient sex has been shown to negatively affect outcomes. This study accounts for additional donor variables and clinically relevant outcomes.
Purpose: To evaluate whether donor sex, age, donor-recipient sex mismatch, and duration of graft storage affect clinical outcomes and failure rates after knee OCA transplantation.
3D CT to 2D X-ray image registration for improved visualization of tibial vessels in endovascular procedures.
Int J Comput Assist Radiol Surg
January 2025
Department of Medical Biophysics, University of Toronto, Toronto, Canada.
Purpose: During endovascular revascularization interventions for peripheral arterial disease, the standard modality of X-ray fluoroscopy (XRF) used for image guidance is limited in visualizing distal segments of infrapopliteal vessels. To enhance visualization of arteries, an image registration technique was developed to align pre-acquired computed tomography (CT) angiography images and to create fusion images highlighting arteries of interest.
Methods: X-ray image metadata capturing the position of the X-ray gantry initializes a multiscale iterative optimization process, which uses a local-variance masked normalized cross-correlation loss to rigidly align a digitally reconstructed radiograph (DRR) of the CT dataset with the target X-ray, using the edges of the fibula and tibia as the basis for alignment.
Prediction of pulmonary embolism by an explainable machine learning approach in the real world.
Sci Rep
January 2025
Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.
In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.
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!