Biology and treatment of Richter transformation

A Condoluci, D Rossi - Frontiers in Oncology, 2022 - frontiersin.org
Richter transformation (RT), defined as the development of an aggressive lymphoma on a
background of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) …

Role of artificial intelligence in haematolymphoid diagnostics

C Syrykh, M van den Brand, JN Kather… - …, 2025 - Wiley Online Library
The advent of digital pathology and the deployment of high‐throughput molecular
techniques are generating an unprecedented mass of data. Thanks to advances in …

[HTML][HTML] Pathomic features reveal immune and molecular evolution from lung preneoplasia to invasive adenocarcinoma

P Chen, FR Rojas, X Hu, A Serrano, B Zhu, H Chen… - Modern Pathology, 2023 - Elsevier
Recent statistics on lung cancer, including the steady decline of advanced diseases and the
dramatically increasing detection of early-stage diseases and indeterminate pulmonary …

[HTML][HTML] Artificial intelligence predicted overall survival and classified mature B-cell neoplasms based on immuno-oncology and immune checkpoint panels

J Carreras, G Roncador, R Hamoudi - Cancers, 2022 - mdpi.com
Simple Summary Artificial intelligence (AI) is a field that combines computer science with
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …

Machine learning model with texture analysis for automatic classification of histopathological images of ocular adnexal mucosa-associated lymphoid tissue lymphoma …

M Tagami, M Nishio, A Katsuyama-Yoshikawa… - Current Eye …, 2023 - Taylor & Francis
Purpose The purpose of this study was to develop artificial intelligence algorithms that can
distinguish between orbital and conjunctival mucosa-associated lymphoid tissue (MALT) …

Chronic lymphocytic leukemia progression diagnosis with intrinsic cellular patterns via unsupervised clustering

P Chen, S El Hussein, F Xing, M Aminu, A Kannapiran… - Cancers, 2022 - mdpi.com
Simple Summary Distinguishing between chronic lymphocytic leukemia (CLL), accelerated
CLL (aCLL), and full-blown transformation to diffuse large B-cell lymphoma (Richter …

[PDF][PDF] Hybrid Software Development Model Outcomes for In-House IT Team in the Manufacturing Industry

K Gautam, SK Yadav, K Kanhaiya… - International Journal of …, 2022 - academia.edu
This paper will help the IT team in the Manufacturing Industry to learn about the outcomes of
the newly developed hyrid software development model. The hybrid model is depended on …

Artificial intelligence-assisted mapping of proliferation centers allows the distinction of accelerated phase from large cell transformation in chronic lymphocytic …

S El Hussein, P Chen, LJ Medeiros, JD Hazle, J Wu… - Modern …, 2022 - nature.com
Chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL) is characterized
morphologically by numerous small lymphocytes and pale nodules composed of …

Artificial Intelligence, Lymphoid Neoplasms, and Prediction of MYC, BCL2, and BCL6 Gene Expression Using a Pan-Cancer Panel in Diffuse Large B-Cell …

J Carreras, N Nakamura - Hemato, 2024 - mdpi.com
Background: Artificial intelligence in medicine is a field that is rapidly evolving. Machine
learning and deep learning are used to improve disease identification and diagnosis …

Immunophenotypic and genomic landscape of Richter transformation diffuse large B-cell lymphoma

S El Hussein, LJ Medeiros, KA Lyapichev, H Fang… - Pathology, 2023 - Elsevier
Integrated clinicopathological and molecular analyses of Richter transformation of diffuse
large B-cell lymphoma subtype (RT-DLBCL) cases remain limited. This study group included …