AIMC Topic: Neoplastic Cells, Circulating
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing.
Scientific reports
May 14, 2024
Circulating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furth...
Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry.
Lab on a chip
Apr 16, 2024
Metastatic tumors have poor prognoses for progression-free and overall survival for all cancer patients. Rare circulating tumor cells (CTCs) and rarer circulating tumor cell clusters (CTCCs) are potential biomarkers of metastatic growth, with CTCCs r...
Quantitative image analysis pipeline for detecting circulating hybrid cells in immunofluorescence images with human-level accuracy.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Feb 22, 2024
Circulating hybrid cells (CHCs) are a newly discovered, tumor-derived cell population found in the peripheral blood of cancer patients and are thought to contribute to tumor metastasis. However, identifying CHCs by immunofluorescence (IF) imaging of ...
Detection of circulating plasma cells in peripheral blood using deep learning-based morphological analysis.
Cancer
Jan 18, 2024
BACKGROUND: The presence of circulating plasma cells (CPCs) is an important laboratory indicator for the diagnosis, staging, risk stratification, and progression monitoring of multiple myeloma (MM). Early detection of CPCs in the peripheral blood (PB...
A deep learning model predicts the presence of diverse cancer types using circulating tumor cells.
Scientific reports
Nov 30, 2023
Circulating tumor cells (CTCs) are cancer cells that detach from the primary tumor and intravasate into the bloodstream. Thus, non-invasive liquid biopsies are being used to analyze CTC-expressed genes to identify potential cancer biomarkers. In this...
Hybrid chain reaction and selective recognition-based homogeneous dual-fluorescence analysis of circulating tumor cells in clinical ovarian cancer samples.
Analytica chimica acta
Oct 5, 2023
BACKGROUND: Oncological analysis is important in tumor diagnosis. We constructed a dual-fluorescence and binary visual analysis system for circulating tumor cells (CTCs) using the folate receptor as a biomarker, combined with hybridization chain reac...
Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry.
Scientific reports
Apr 13, 2023
Image-based identification of circulating tumor cells in microfluidic cytometry condition is one of the most challenging perspectives in the Liquid Biopsy scenario. Here we show a machine learning-powered tomographic phase imaging flow cytometry syst...
Automatic detection of circulating tumor cells and cancer associated fibroblasts using deep learning.
Scientific reports
Apr 7, 2023
Circulating tumor cells (CTCs) and cancer-associated fibroblasts (CAFs) from whole blood are emerging as important biomarkers that potentially aid in cancer diagnosis and prognosis. The microfilter technology provides an efficient capture platform fo...
Artificial intelligence-based classification of peripheral blood nucleated cells using label-free imaging flow cytometry.
Lab on a chip
Sep 13, 2022
Label-free image identification of circulating rare cells, such as circulating tumor cells within peripheral blood nucleated cells (PBNCs), the vast majority of which are white blood cells (WBCs), remains challenging. We previously described developi...
[Moving towards a personalized oncology: The contribution of genomic techniques and artificial intelligence in the use of circulating tumor biomarkers].
Bulletin du cancer
Jan 13, 2022
Technological advances, in particular the development of high-throughput sequencing, have led to the emergence of a new generation of molecular biomarkers for tumors. These new tools have profoundly changed therapeutic management in oncology, with in...
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