Indore (Madhya Pradesh): On the occasion of World Cancer Day, the Department of Pathology at MGM Medical College inaugurated ...
Leading Biospecimen Lifecycle Management Platform and Global CRO Formalize Collaboration Following Successful Pilot MONTREAL and RICHMOND, Va., Feb. 3, 2026 /PRNewswire/ -- Slope, the only end-to-end, ...
Surgical management of gastric duplication cyst with respiratory epithelium in an asymptomatic child
Gastric duplication cyst (GDC) is a rare sub-type of enteric duplication cysts. Complete surgical excision is recommended due to potential risks of bleeding, perforation and malignant transformation.
Decades of patient-donated tumour samples are now housed under one roof at the Kingston Health Sciences Centre (KHSC), with ...
The Joseph Fraser Memorial Hospital Trust (JFMH Trust), a registered non-profit charity in Sri Lanka, has pledged its support to strengthen and modernize histopathology services at the University of ...
Using PROTECT trial data, investigators assessed the possible benefit of early treatment vs active monitoring for cribriform-positive prostate cancer.
Staffing challenges, uneven workload and carrying out thousands of tests a year are part of "business as usual" in the ...
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Pathology is diagnostic backbone of modern medicine, basis for doctors’ decisions – Menkiti
By Enyeribe EjioguDr Felix Emeka Menkiti is a medical professional with a strong academic and leadership background, who has had a scholarly and meteoric rise in the academia in his chosen specialty ...
He said AI is already being used in hematology analysers, histopathology, cytopathology, prostate biopsies, lung cancer, breast cancer, lymph node metastasis, and urine and fluid examinations, with ...
Artificial intelligence (AI) is revolutionising histopathology by enabling quicker, more consistent analysis of digitised tissue slides to aid cancer diagnosis. To keep pace with the surge in AI ...
Abstract: Histopathology is a critical tool for disease diagnosis and identifying cancer via microscopic tissue analysis. Traditional deep learning methods for histopathology often require extensive ...
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