AIMC Topic: Gene Rearrangement

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MYC Rearrangement Prediction From LYSA Whole Slide Images in Large B-Cell Lymphoma: A Multicentric Validation of Self-supervised Deep Learning Models.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Sep 10, 2024
Large B-cell lymphoma (LBCL) is a heterogeneous lymphoid malignancy in which MYC gene rearrangement (MYC-R) is associated with a poor prognosis, prompting the recommendation for more intensive treatment. MYC-R detection relies on fluorescence in situ...
Humans Female Reproducibility of Results Aged Lymphoma, Large B-Cell, Diffuse Male Middle Aged Deep Learning In Situ Hybridization, Fluorescence Image Interpretation, Computer-Assisted Proto-Oncogene Proteins c-myc Gene Rearrangement
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Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Sep 3, 2022
Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key players in non-small cell lung cancer (NSCLC). Although their frequency is relatively low, their detection is important for patient care and guides thera...
Humans Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Protein-Tyrosine Kinases In Situ Hybridization, Fluorescence Proto-Oncogene Proteins Eosine Yellowish-(YS) Hematoxylin Anaplastic Lymphoma Kinase Gene Rearrangement Oncogene Proteins, Fusion
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