AIMC Topic: Primary Myelofibrosis

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Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning.

Tomography (Ann Arbor, Mich.) Mar 7, 2023
A murine model of myelofibrosis in tibia was used in a co-clinical trial to evaluate segmentation methods for application of image-based biomarkers to assess disease status. The dataset (32 mice with 157 3D MRI scans including 49 test-retest pairs sc...
Humans Animals Deep Learning Image Processing, Computer-Assisted Mice Magnetic Resonance Imaging Tibia Primary Myelofibrosis
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Automated diagnostic support system with deep learning algorithms for distinction of Philadelphia chromosome-negative myeloproliferative neoplasms using peripheral blood specimen.

Scientific reports Feb 9, 2021
Philadelphia chromosome-negative myeloproliferative neoplasms (Ph-negative MPNs) such as polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis are characterized by abnormal proliferation of mature bone marrow cell lineages...
Humans Automation, Laboratory Deep Learning Image Processing, Computer-Assisted Thrombocythemia, Essential Blood Cell Count Polycythemia Vera Primary Myelofibrosis Philadelphia Chromosome
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Predicting pathogenic genes for primary myelofibrosis based on a system‑network approach.

Molecular medicine reports Oct 20, 2017
The aim of the present study was to predict pathogenic genes for primary myelofibrosis (PMF) using a system‑network approach by combining protein‑protein interaction (PPI) network and gene expression data with known pathogenic genes. PMF gene express...
Humans Neural Networks, Computer Gene Expression Profiling Gene Regulatory Networks Genetic Predisposition to Disease Genetic Association Studies Computational Biology Signal Transduction Models, Biological Primary Myelofibrosis
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Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

Blood Jun 26, 2025
With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes after allogeneic hematopoietic cell transplantation (allo-HCT) is crucial for determining the optimal timing for this procedure. Using data from 5183...
Humans Machine Learning Prognosis Female Aged Adult Survival Rate Male Middle Aged Hematopoietic Stem Cell Transplantation Primary Myelofibrosis
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