Back
Top 0.3%
12.4%
Top 0.4%
9.8%
Top 10%
9.4%
Top 19%
9.4%
Top 0.2%
9.4%
Top 4%
8.2%
Top 4%
5.9%
Top 9%
4.4%
Top 5%
3.2%
Top 3%
2.0%
Top 3%
2.0%
Top 94%
1.6%
Top 5%
1.6%
Top 2%
1.6%
Top 13%
1.4%
Top 4%
1.4%
Top 6%
1.0%
Top 11%
1.0%
Top 8%
1.0%
Top 33%
0.7%
Top 4%
0.7%
Automated machine learning of echocardiographic strain enables identification of early myocardial changes in pre-symptomatic TTR carriers
2026-03-05
cardiovascular medicine
Title + abstract only
View on medRxiv
Show abstract
ObjectivesTo identify unique echocardiographic signatures associated with TTR+ carrier status preceding onset of cardiac amyloidosis. BackgroundCarrier status for the most common pathogenic TTR variant in the United States, Val142Ile (V142I), found in 4% of African Americans (AA) and 1% of Hispanic/Latino (H/L) individuals, confers a 40-60% lifetime risk of developing variant transthyretin amyloidosis (ATTRv), including cardiac amyloidosis (CA) and heart failure (HF). Myocardial amyloid deposit...
Predicted journal destinations
1
Circulation
37 training papers
2
Circulation: Genomic and Precision Medicine
30 training papers
3
Nature Communications
483 training papers
4
Scientific Reports
701 training papers
5
European Heart Journal - Digital Health
15 training papers
6
Journal of the American Heart Association
92 training papers
7
Frontiers in Cardiovascular Medicine
33 training papers
8
eLife
262 training papers
9
Nature Genetics
72 training papers
10
The American Journal of Cardiology
15 training papers
11
Heart Rhythm
16 training papers
12
PLOS ONE
1737 training papers
13
Open Heart
18 training papers
14
Atherosclerosis
16 training papers
15
npj Digital Medicine
85 training papers
16
Hypertension
20 training papers
17
JCI Insight
63 training papers
18
Nature Medicine
88 training papers
19
Computers in Biology and Medicine
39 training papers
20
BMC Medicine
155 training papers
21
Frontiers in Physiology
18 training papers