Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Accelerated Aging in LMNA Mutations Detected by Artificial Intelligence ECG-Derived Age.

Mayo Clinic proceedings - 1 Apr 2023

Shelly Shahar, Lopez-Jimenez Francisco, Chacin-Suarez Audry, Cohen-Shelly Michal, Medina-Inojosa Jose R, Kapa Suraj, Attia Zachi, Chahal Anwar A, Somers Virend K, Friedman Paul A, Milone Margherita

Abstract excerpt

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. PATIENT AND METHODS: We applied a previously trained convolutional neural network model to predict biological age by electrocardiogram (ECG) [Artificial Intelligence (AI)-ECG age] to LMNA patients evaluated by...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Artificial Intelligence
Share to Atrial Fibrillation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Electrocardiography

Share to Lamin Type A

Share to Mutation

Source

Identifiers

PMID: 36775737
DOI: 10.1016/j.mayocp.2022.11.020

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Accelerated Aging in LMNA Mutations Detected by Artificial Intelligence ECG-Derived Age.PMID 36775737Read ↗

Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypesSemantic proximity Read ↗

Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes.Semantic proximity Read ↗

Accelerated electrocardiographic aging of the heart as a risk determinant for atrial fibrillation: A Mendelian randomization studySemantic proximity Read ↗

Gene-Based Risk Stratification for Cardiac Disorders in LMNA Mutation Carriers.Semantic proximity Read ↗

Dissecting heart age using cardiac magnetic resonance videos, electrocardiograms, biobanks, and deep learningSemantic proximity Read ↗

Progression of cardiac disease in patients with lamin A/C mutations.Semantic proximity Read ↗

Clinical disease presentation and ECG characteristics of LMNA mutation carriersSemantic proximity Read ↗

Long-Term Arrhythmic and Nonarrhythmic Outcomes of Lamin A/C Mutation Carriers.Semantic proximity Read ↗

Clinical Manifestations and Long-Term Mortality in Lamin A/C Mutation Carriers From a Japanese Multicenter Registry.Semantic proximity Read ↗

External Validation of Risk Factors for Malignant Ventricular Arrhythmias in Lamin A/C Mutation CarriersSemantic proximity Read ↗

Association between AI-Based Electrocardiographic Age from Wearable Devices and Atrial Fibrillation: The PROPHECG-Age Single StudySemantic proximity Read ↗

Advanced ECG heart age estimation applicable to both sinus and non-sinus rhythm associates with cardiovascular risk, cardiovascular morbidity, and survivalSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.