A Retrospective Analysis of Atypical Cervical Cytology: Correlating Bethesda Categories with HPV Genotyping and Histological Follow-Up. [PDF]
Asaturova A +6 more
europepmc +1 more source
Surgical management of bladder rupture in adult horses: An uncommon problem meets a novel solution
Equine Veterinary Education, EarlyView.
D. Major
wiley +1 more source
Congenital dyserythropoietic anemia type I (CDA‐I) arises from mutations in Codanin1 and CDIN1. Using quantitative biophysical approaches, we show that disease‐associated mutations disrupt the CDIN1‐Codanin1 complex. Our findings provide critical insights into the molecular mechanism that links protein dysfunction to disturbing chromatin arrangement ...
Martin Stojaspal +8 more
wiley +1 more source
Simplified Saccomanno Technique for Sputum Cytology
Kiyoshi Nakao +5 more
openalex +2 more sources
Digital Pathology in Hematopathology: From Vision to Deployment
ABSTRACT Digital pathology (DP) has evolved alongside other technical advances, transforming our daily lives and diagnostic medicine. It is likely that, as in other areas of life, science, and medicine, the overall level of digitization will continue to rise, along with an increasing number of groups implementing DP.
Ryan C. Shean, Anton V. Rets
wiley +1 more source
Machine Learning for diagnosis of malignant thyroid nodules based on thyroid ultrasound: Systematic review and meta-analysis of studies with external datasets. [PDF]
Gatta E +9 more
europepmc +1 more source
ABSTRACT Objectives The all‐trans‐retinoic acid (ATRA) treatment used in acute promyelocytic leukemia (APL) has the particularity of inducing differentiation of the leukemia cells. As a result, within the same smear, several stages of cellular differentiation of the granular lineage are present, which can make it difficult to distinguish elements when ...
Lucille De Maria +6 more
wiley +1 more source
Identifying Micropapillary Patterns With Fine-Needle Aspiration Biopsy at Metastatic Sites to Enhance Breast Cancer Diagnosis: A Case Series. [PDF]
Gupta O, Rao RN, Gupta R, Agarwal G.
europepmc +1 more source
A deep learning–clinical nomogram hybrid for predicting sentinel lymph node metastasis in melanoma
We developed MISSLE, a deep learning–clinical nomogram hybrid model, to predict sentinel lymph node metastasis in invasive cutaneous melanoma with a high area under the receiver operating characteristic curve of 0.950 on the test set. MISSLE identifies key histopathological features and integrates AI for improved clinical decision‐making.
Minh‐Khang Le +8 more
wiley +1 more source

