AIMC Topic: In Situ Hybridization, Fluorescence

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Sarcopenia identified by computed tomography imaging using a deep learning-based segmentation approach impacts survival in patients with newly diagnosed multiple myeloma.

Cancer Nov 22, 2022
BACKGROUND: Sarcopenia increases with age and is associated with poor survival outcomes in patients with cancer. By using a deep learning-based segmentation approach, clinical computed tomography (CT) images of the abdomen of patients with newly diag...
Humans Prospective Studies Prognosis Sarcopenia Muscle, Skeletal In Situ Hybridization, Fluorescence Multiple Myeloma Retrospective Studies Tomography, X-Ray Computed Deep Learning
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Using Deep Learning to Predict Final HER2 Status in Invasive Breast Cancers That are Equivocal (2+) by Immunohistochemistry.

Applied immunohistochemistry & molecular morphology : AIMM Oct 17, 2022
Invasive breast carcinomas are routinely tested for HER2 using immunohistochemistry (IHC), with reflex in situ hybridization (ISH) for those scored as equivocal (2+). ISH testing is expensive, time-consuming, and not universally available. In this st...
In Situ Hybridization, Fluorescence Humans Immunohistochemistry Receptor, ErbB-2 Biomarkers, Tumor Deep Learning Female Breast Neoplasms
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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 Gene Rearrangement Oncogene Proteins, Fusion Eosine Yellowish-(YS) Hematoxylin Anaplastic Lymphoma Kinase Protein-Tyrosine Kinases In Situ Hybridization, Fluorescence Proto-Oncogene Proteins
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Attention Mask R-CNN with edge refinement algorithm for identifying circulating genetically abnormal cells.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Aug 15, 2022
Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers in mononuclear cell-enriched peripheral blood samples, such as circulating genetically abnormal cells (CACs), can be used as a non-invasive tool to det...
Humans Neural Networks, Computer Algorithms Lung Neoplasms In Situ Hybridization, Fluorescence Cell Nucleus
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Machine Learning Models for the Diagnosis and Prognosis Prediction of High-Grade B-Cell Lymphoma.

Frontiers in immunology May 24, 2022
High-grade B-cell lymphoma (HGBL) is a newly introduced category of rare and heterogeneous invasive B-cell lymphoma (BCL), which is diagnosed depending on fluorescence hybridization (FISH), an expensive and laborious analysis. In order to identify H...
In Situ Hybridization, Fluorescence L-Lactate Dehydrogenase Lymphoma, B-Cell Humans Machine Learning Prognosis Cohort Studies
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Classification and Identification of Archaea Using Single-Cell Raman Ejection and Artificial Intelligence: Implications for Investigating Uncultivated Microorganisms.

Analytical chemistry Dec 15, 2021
Archaea can produce special cellular components such as polyhydroxyalkanoates, carotenoids, rhodopsin, and ether lipids, which have valuable applications in medicine and green energy production. Most of the archaeal species are uncultivated, posing c...
Lipids In Situ Hybridization, Fluorescence Artificial Intelligence Phylogeny RNA, Ribosomal, 16S
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Machine learning predicts treatment sensitivity in multiple myeloma based on molecular and clinical information coupled with drug response.

PloS one Jul 28, 2021
Providing treatment sensitivity stratification at the time of cancer diagnosis allows better allocation of patients to alternative treatment options. Despite many clinical and biological risk markers having been associated with variable survival in c...
ROC Curve Gene Expression Regulation, Neoplastic Treatment Outcome Multiple Myeloma Area Under Curve In Situ Hybridization, Fluorescence Machine Learning Survival Rate Antineoplastic Agents Humans
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Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study.

Virchows Archiv : an international journal of pathology Jul 19, 2021
The level of human epidermal growth factor receptor-2 (HER2) protein and gene expression in breast cancer is an essential factor in judging the prognosis of breast cancer patients. Several investigations have shown high intraobserver and interobserve...
Humans Immunohistochemistry Receptor, ErbB-2 Biomarkers, Tumor Carcinoma, Ductal, Breast China Female Predictive Value of Tests Microscopy Image Interpretation, Computer-Assisted Reproducibility of Results Artificial Intelligence In Situ Hybridization, Fluorescence Observer Variation Breast Neoplasms Automation, Laboratory Retrospective Studies
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Combined effects of volume ratio and nitrate recycling ratio on nutrient removal, sludge characteristic and microbial evolution for DPR optimization.

Journal of environmental sciences (China) Dec 17, 2020
The optimization of volume ratio (V/V/V) and nitrate recycling ratio (R) in a two-sludge denitrifying phosphorus removal (DPR) process of Anaerobic Anoxic Oxic-Moving Bed Biofilm Reactor (A/O-MBBR) was investigated. The results showed that prolonged ...
Denitrification Sewage Nitrogen In Situ Hybridization, Fluorescence Biofilms Nutrients Nitrates Waste Disposal, Fluid Phosphorus Bioreactors
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Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.

Virchows Archiv : an international journal of pathology Sep 26, 2020
In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classification, and prognostic factors, including genetic changes. We developed a deep learning algorithm to detect MYC rearrangement in scanned histological slide...
Proto-Oncogene Proteins c-myc Translocation, Genetic Deep Learning Genetic Predisposition to Disease Staining and Labeling Proof of Concept Study Image Interpretation, Computer-Assisted Predictive Value of Tests Reproducibility of Results Humans Antigens, CD20 Biomarkers, Tumor Immunohistochemistry Microscopy Phenotype Lymphoma, Large B-Cell, Diffuse In Situ Hybridization, Fluorescence
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