98%
921
2 minutes
20
This paper reports on the development and implementation of a digital pathology platform aimed at improving veterinary students' learning experiences. Traditional pathology labs limit individual access to physical slides, restricting independent study and detailed examination. The platform provides on-demand access to a comprehensive library of high-resolution digital slides, enabling flexible and personalized learning. Using a mixed-method approach, including surveys and usage analytics, we evaluated its impact on student outcomes. Results showed a significant increase in student engagement and satisfaction, with median usefulness ratings of 5 on a 5-point scale. Usage data indicated enhanced study habits, including increased incidence of students reviewing digital slides independently compared to traditional methods. Qualitative feedback highlighted the platform's high-resolution imaging and zoom functionality as key features improving students' understanding of histopathological details. Minor challenges during digitization were addressed to optimize accessibility and interactivity. Overall, this digital platform supports the development of essential diagnostic skills and aligns with contemporary veterinary education skills. The findings demonstrate that integrating digital pathology resources can effectively complement conventional teaching, fostering deeper learning and greater flexibility in study practices.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12390312 | PMC |
http://dx.doi.org/10.3390/vetsci12080769 | DOI Listing |
Pol Merkur Lekarski
September 2025
BUKOVINIAN STATE MEDICAL UNIVERSITY, CHERNIVTSI, UKRAINE.
Objective: Aim: To find out new objective criteria for laser histological differential diagnosis of thyroid pathology based on the use of a digital method of layer-by-layer polarization-interference mapping of polarization ellipticity maps of microscopic images of native histological sections of thyroid biopsy.
Patients And Methods: Materials and Methods: Four groups of patients were studied: control group 1 - healthy donors (51 patients); study group 2 - patients with nodular goiter (51 patients); study group 3 - patients with autoimmune thyroiditis (51 patients); study group 4 - patients with papillary cancer (51 patients). Methods used: polarization-interference, statistical.
JAMA
September 2025
Division of Surgery and Interventional Science, UCL, London, United Kingdom.
Importance: Multiparametric magnetic resonance imaging (MRI), with or without prostate biopsy, has become the standard of care for diagnosing clinically significant prostate cancer. Resource capacity limits widespread adoption. Biparametric MRI, which omits the gadolinium contrast sequence, is a shorter and cheaper alternative offering time-saving capacity gains for health systems globally.
View Article and Find Full Text PDFJ Clin Exp Hepatol
August 2025
Dept of Histopathology, PGIMER, Chandigarh, 160012, India.
Artificial intelligence (AI) is a technique or tool to simulate or emulate human "intelligence." Precision medicine or precision histology refers to the subpopulation-tailored diagnosis, therapeutics, and management of diseases with its sociocultural, behavioral, genomic, transcriptomic, and pharmaco-omic implications. The modern decade experiences a quantum leap in AI-based models in various aspects of daily routines including practice of precision medicine and histology.
View Article and Find Full Text PDFBrain Spine
January 2025
Department of Neurosurgery, Oslo University Hospital, Oslo, Norway.
Purpose: Isolated spinal aneurysms (iSAs) are rare, with an uncertain natural history and no established treatment guidelines. Multiple iSAs are even more uncommon, complicating treatment decisions.
Methods: This study reports a case of a ruptured radiculo-pial artery aneurysm in a patient with multiple iSAs, treated with surgical excision, assisted by intraoperative neurophysiological monitoring (IONM).
Front Med (Lausanne)
August 2025
Department of Pathology and Laboratory Diagnosis, College of Veterinary Medicine, Qassim University, Buraydah, Saudi Arabia.
Tuberculosis (TB) remains one of the leading causes of infectious disease mortality worldwide, increasingly complicated by the emergence of drug-resistant strains and limitations in existing diagnostic and therapeutic strategies. Despite decades of global efforts, the disease continues to impose a significant burden, particularly in low- and middle-income countries (LMICs) where health system weaknesses hinder progress. This comprehensive review explores recent advancements in TB diagnostics, antimicrobial resistance (AMR surveillance), treatment strategies, and vaccine development.
View Article and Find Full Text PDF