Nature Search

Phenotyping valvular heart diseases using the lens of unsupervised machine learning: a scoping review

Max Rosen
Karthik Seetharam
Yasmin S. Hamirani
ResearchOpen Access03 Sept 2025
npj Cardiovascular Health

Volume: 2, P: 1-13
Synthetic generation of cardiac tissue motion from surface electrocardiograms

Radhakrishnan, Yanamala et al. report the diagnostic accuracy of synthetic tissue Doppler imaging waveforms generated from surface electrocardiograms and their correlation with cardiac function and clinical outcomes.

Aditya Radhakrishnan
Naveena Yanamala
Partho P. Sengupta
Research14 Apr 2025
Nature Cardiovascular Research

Volume: 4, P: 445-457
A novel multi-task machine learning classifier for rare disease patterning using cardiac strain imaging data

Nanda K. Siva
Yashbir Singh
Naveena Yanamala
ResearchOpen Access09 May 2024
Scientific Reports

Volume: 14, P: 1-9
AI tracks a beating heart’s function over time

Clinicians use ultrasound videos of heartbeats to assess subtle changes in the heart’s pumping function. A method that uses artificial intelligence might simplify these complex assessments when heartbeats are out of rhythm.

Partho P. Sengupta
Donald A. Adjeroh
News & Views25 Mar 2020
Nature

Volume: 580, P: 192-194
Hypertrophic obstructive cardiomyopathy and sleep-disordered breathing: an unfavorable combination

In this thought-provoking Viewpoint and accompanying clinical vignettes, Sengupta and colleagues posit that clinicians should be aware of obstructive sleep apnea in patients with hypertrophic obstructive cardiomyopathy. They hypothesize that this sleep disorder could be the reason cardiomyopathy symptoms remain despite therapy and could also contribute to a raised gradient seen in some patients.

Partho P Sengupta
Dan Sorajja
A Jamil Tajik
Reviews18 Nov 2008
Nature Clinical Practice Cardiovascular Medicine

Volume: 6, P: 14-15
Development and preliminary validation of infrared spectroscopic device for transdermal assessment of elevated cardiac troponin

Titus et al. develop a technological platform for the non-invasive transdermal measurement of cardiac troponin-I, a marker of myocardial injury. Preliminary testing of their device, which works via infrared spectroscopy, indicates that troponin can be detected with reasonable performance, in the absence of a blood draw.

Jitto Titus
Alan H. B. Wu
Partho P. Sengupta
ResearchOpen Access13 Apr 2022
Communications Medicine

Volume: 2, P: 1-8
Artificial intelligence-enhanced echocardiography in cardiovascular disease management

In this Review, the authors explore the state of artificial intelligence (AI) applications in echocardiography, discussing the integration of AI throughout the echocardiographic workflow and highlighting the clinical implementation, challenges and future directions of AI-supported echocardiography.

Peder L. Myhre
Bjørnar Grenne
Carolyn S. P. Lam
Reviews05 Aug 2025
Nature Reviews Cardiology

P: 1-19
SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion

A study of SARS-CoV-2 variants examining their transmission, infectivity, and potential resistance to therapies provides insights into the biology of the Delta variant and its role in the global pandemic.

Petra Mlcochova
Steven A. Kemp
Ravindra K. Gupta
ResearchOpen Access06 Sept 2021
Nature

Volume: 599, P: 114-119
A vital sign-based prediction algorithm for differentiating COVID-19 versus seasonal influenza in hospitalized patients

Naveena Yanamala
Nanda H. Krishna
Partho P. Sengupta
ResearchOpen Access04 Jun 2021
npj Digital Medicine

Volume: 4, P: 1-10

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