AIMC Topic: Lamin Type A
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Clustering cell nuclei on microgrooves for disease diagnosis using deep learning.
Scientific reports
Jul 2, 2025
Various diseases including laminopathies and certain types of cancer are associated with abnormal nuclear mechanical properties that influence cellular and nuclear deformations in complex environments. Recently, microgroove substrates designed to mim...
In Silico Modeling of Fabry Disease Pathophysiology for the Identification of Early Cellular Damage Biomarker Candidates.
International journal of molecular sciences
Sep 25, 2024
Fabry disease (FD) is an X-linked lysosomal disease whose ultimate consequences are the accumulation of sphingolipids and subsequent inflammatory events, mainly at the endothelial level. The outcomes include different nervous system manifestations as...
Accelerated Aging in LMNA Mutations Detected by Artificial Intelligence ECG-Derived Age.
Mayo Clinic proceedings
Feb 11, 2023
OBJECTIVE: To demonstrate early aging in patients with lamin A/C (LMNA) gene mutations after hypothesizing that they have a biological age older than chronological age, as such a finding impacts care.
Use of machine learning to classify high-risk variants of uncertain significance in lamin A/C cardiac disease.
Heart rhythm
Dec 24, 2021
BACKGROUND: Variation in lamin A/C results in a spectrum of clinical disease, including arrhythmias and cardiomyopathy. Benign variation is rare, and classification of LMNA missense variants via in silico prediction tools results in a high rate of va...
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