Publications by authors named "R Khera"

Background: While universal screening for Lp(a; lipoprotein[a]) is increasingly recommended, <0.5% of patients undergo Lp(a) testing. Here, we assessed the feasibility of deploying Algorithmic Risk Inspection for Screening Elevated Lp(a; ARISE), a validated machine learning tool, to health system electronic health records to increase the yield of Lp(a) testing.

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Background And Aims: Current heart failure (HF) risk stratification strategies require comprehensive clinical evaluation. In this study, artificial intelligence (AI) applied to electrocardiogram (ECG) images was examined as a strategy to predict HF risk.

Methods: Across multinational cohorts in the Yale New Haven Health System (YNHHS), UK Biobank (UKB), and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), individuals without baseline HF were followed for the first HF hospitalization.

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Background: Diagnosis of cardiac amyloidosis (CA) is often missed or delayed due to confusion with other causes of increased left ventricular wall thickness. Conventional transthoracic echocardiographic measurements like global longitudinal strain (GLS) has shown promise in distinguishing CA, but with limited specificity. We conducted a study to investigate the performance of a computer vision detection algorithm in across multiple international sites.

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Iron (Fe) availability limits photosynthesis at a global scale where Fe-rich photosystem (PS) I abundance is drastically reduced in Fe-poor environments. We used single-particle cryo-electron microscopy to reveal a unique Fe starvation-dependent arrangement of light-harvesting chlorophyll (LHC) proteins where Fe starvation-induced TIDI1 is found in an additional tetramer of LHC proteins associated with PSI in and . These cosmopolitan green algae are resilient to poor Fe nutrition.

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Article Synopsis
  • The study focused on identifying imaging biomarkers for pre-clinical cardiomyopathy in healthy people with genetic variants linked to hypertrophic cardiomyopathy (HCM) or dilated cardiomyopathy (DCM).
  • Out of 40,169 participants, 13 cardiac magnetic resonance (CMR) measurements were found to be linked to atrial fibrillation (AF) and 15 with heart failure (HF), with specific measurements correlating differently with HCM and DCM genetic risk.
  • The findings suggest that certain CMR measurements, particularly from the right side of the heart, can indicate early changes in heart function in individuals with HCM genetic variants, while left ventricular measures relate to DCM genetic risks
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