Nathaniel Diamant
Overview
Explore the profile of Nathaniel Diamant including associated specialties, affiliations and a list of published articles.
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13
Citations
219
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Recent Articles
1.
Heimberg G, Kuo T, DePianto D, Salem O, Heigl T, Diamant N, et al.
Nature
. 2024 Nov;
638(8052):1085-1094.
PMID: 39566551
Single-cell RNA sequencing has profiled hundreds of millions of human cells across organs, diseases, development and perturbations to date. Mining these growing atlases could reveal cell-disease associations, identify cell states...
2.
Schlesinger D, Diamant N, Raghu A, Reinertsen E, Young K, Batra P, et al.
JACC Adv
. 2024 Jun;
1(1):100003.
PMID: 38939079
Background: Central hemodynamic parameters are typically measured via pulmonary artery catherization-an invasive procedure that involves some risk to the patient and is not routinely available in all settings. Objectives: This...
3.
Khurshid S, Churchill T, Diamant N, Di Achille P, Reeder C, Singh P, et al.
Eur J Prev Cardiol
. 2023 Oct;
31(2):252-262.
PMID: 37798122
Aims: To leverage deep learning on the resting 12-lead electrocardiogram (ECG) to estimate peak oxygen consumption (V˙O2peak) without cardiopulmonary exercise testing (CPET). Methods And Results: V ˙ O 2 peak...
4.
Rambarat P, Zern E, Wang D, Roshandelpoor A, Zarbafian S, Liu E, et al.
PLoS One
. 2023 Aug;
18(8):e0290553.
PMID: 37624825
Introduction: The classification and management of pulmonary hypertension (PH) is challenging due to clinical heterogeneity of patients. We sought to identify distinct multimorbid phenogroups of patients with PH that are...
5.
Agrawal S, Klarqvist M, Diamant N, Stanley T, Ellinor P, Mehta N, et al.
Nat Commun
. 2023 Jan;
14(1):266.
PMID: 36650173
For any given body mass index (BMI), individuals vary substantially in fat distribution, and this variation may have important implications for cardiometabolic risk. Here, we study disease associations with BMI-independent...
6.
Diamant N, Di Achille P, Weng L, Lau E, Khurshid S, Friedman S, et al.
Cardiovasc Digit Health J
. 2022 Sep;
3(4):161-170.
PMID: 36046430
Background And Objective: Postexercise heart rate recovery (HRR) is an important indicator of cardiac autonomic function and abnormal HRR is associated with adverse outcomes. We hypothesized that deep learning on...
7.
Klarqvist M, Agrawal S, Diamant N, Ellinor P, Philippakis A, Ng K, et al.
NPJ Digit Med
. 2022 Jul;
5(1):105.
PMID: 35896726
Inter-individual variation in fat distribution is increasingly recognized as clinically important but is not routinely assessed in clinical practice, in part because medical imaging has not been practical to deploy...
8.
Agrawal S, Wang M, Klarqvist M, Smith K, Shin J, Dashti H, et al.
Nat Commun
. 2022 Jun;
13(1):3771.
PMID: 35773277
For any given level of overall adiposity, individuals vary considerably in fat distribution. The inherited basis of fat distribution in the general population is not fully understood. Here, we study...
9.
Khurshid S, Reeder C, Harrington L, Singh P, Sarma G, Friedman S, et al.
NPJ Digit Med
. 2022 Apr;
5(1):47.
PMID: 35396454
Electronic health record (EHR) datasets are statistically powerful but are subject to ascertainment bias and missingness. Using the Mass General Brigham multi-institutional EHR, we approximated a community-based cohort by sampling...
10.
Khurshid S, Friedman S, Pirruccello J, Di Achille P, Diamant N, Anderson C, et al.
Cardiovasc Digit Health J
. 2022 Mar;
2(2):109-117.
PMID: 35265898
Background: Cardiac magnetic resonance (CMR) is the gold standard for left ventricular hypertrophy (LVH) diagnosis. CMR-derived LV mass can be estimated using proprietary algorithms (eg, InlineVF), but their accuracy and...