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| http://dx.doi.org/10.1093/jamia/ocae219 | DOI Listing |
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Preclinical evaluation of the efficacy and safety of AAV8-TNAP-D10 in Alpl-/- and AlplPrx1/Prx1 mouse models for the treatment of early and late-onset hypophosphatasia.
J Bone Miner Res
January 2025
Human Genetics Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, United States.
We previously documented successful resolution of skeletal and dental disease in the infantile and late-onset murine models of hypophosphatasia (HPP), with a single injection of an adeno-associated serotype 8 vector encoding mineral-targeted TNAP (AAV8-TNAP-D10). Here, we conducted dosing studies in both HPP mouse models. A single escalating dose from 4x108 up to 4x1010 (vg/b) was intramuscularly injected into 4-day-old Alpl-/- mice (an infantile HPP model) and a single dose from 4x106 up to 4x109 (vg/b) was administered to 8-week-old AlplPrx1/Prx1 mice (a late-onset HPP model).
View Article and Find Full Text PDFFit accuracy and fracture resistance evaluation of advanced lithium disilicate crowns (in- vitro study).
BMC Oral Health
January 2025
Division of Fixed Prosthodontics, Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.
Background: Increasing demand for durable and aesthetically pleasing dental restorations, including laminates, inlays, onlays, and crowns, has led to advancements in all-ceramic systems, particularly with the development of advanced lithium disilicate materials. However, limited data on the fit accuracy and fracture resistance of these materials restricts their wider application in clinical restorative practices.
Aim Of The Study: This in vitro study aims to compare the marginal and internal fit, assess the fracture resistance, and evaluate the failure modes of crowns fabricated from advanced and conventional lithium disilicate materials.
Evaluation of different artificial intelligence applications in responding to regenerative endodontic procedures.
BMC Oral Health
January 2025
Department of Endodontics, Faculty of Dentistry, Marmara University, Başıbüyük, Başıbüyük Yolu Marmara Üniversitesi Başıbüyük Sağlık Yerleşkesi 9/3, Başıbüyük - Maltepe, PO Box: 34854, İstanbul, Turkey.
Introduction: The integration of artificial intelligence (AI) technologies in healthcare is revolutionizing the workflows of healthcare professionals, enabling faster and more accurate patient treatment. This study aims to evaluate the accuracy of responses provided by different AI chatbots to questions that dentists might ask regarding regenerative endodontic treatment (RET), a procedure that shows promising biological healing potential.
Methods: A total of 23 questions related to RET procedures were developed based on the American Association of Endodontists (AAE) 2022 guidelines.
Modified Green-Ampt model for infiltration analysis in loess area and its parameter determination and verification.
Sci Rep
January 2025
School of Civil Engineering, Chang'an University, Xi'an, 710061, China.
Water infiltration into soil is important in geotechnical engineering. The classical Green-Ampt (GA) infiltration model is widely used in soil infiltration due to its physical significance, but it ignores the actual unsaturated layer in the infiltration process and has some deficiencies. Thus, the present study established a modified GA infiltration model (MLGA model) using Darcy's infiltration law and continuity equation to fully consider the variation characteristics of the soil water profile in the infiltration process.
View Article and Find Full Text PDFComparison of the performances between ChatGPT and Gemini in answering questions on viral hepatitis.
Sci Rep
January 2025
Department of Infectious Diseases and Clinical Microbiology, Bakirkoy Dr Sadi Konuk Training and Research Hospital, Istanbul, 34140, Turkey.
This is the first study to evaluate the adequacy and reliability of the ChatGPT and Gemini chatbots on viral hepatitis. A total of 176 questions were composed from three different categories. The first group includes "questions and answers (Q&As) for the public" determined by the Centers for Disease Control and Prevention (CDC).
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