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HeartSciences Announces Allowance of U.S Patent for AI-ECG Assessment of Left Ventricular and Right Ventricular Heart Dysfunction

DAIC

mtaschetta-millane Thu, 07/11/2024 - 10:53 July 11, 2024 — Heart Test Laboratories, Inc. Heart failure (HF) is a growing worldwide public health issue affecting 64 million people annually 1 and is associated with high mortality, lower quality of life and reduced physical capacity while placing substantial costs on the healthcare system.

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Controlled human infection study underpins efficacy of the tetravalent live-attenuated dengue vaccine TV005

Journal of Clinical Investigation - Cardiology

Dengue fever, caused by four distinct serotypes of the dengue virus (DENV1–4), poses a public health concern for much of the world. However, phase III trials require a lengthy three-to-five year follow-up.

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Development and Validation of a Bayesian Network?Based Model for Predicting Coronary Heart Disease Risk From Electronic Health Records

Journal of the American Heart Association

BackgroundTraditional risk evaluation models have been applied to guide public health and clinical practice in various studies. However, the application of existing methods to data sets with missing and censored data, as is often the case in electronic health records, requires additional considerations.

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Abstract WP269: Predicting post-stroke all-cause dementia incidence using machine learning models and electronic health record data

Stroke Journal

Introduction:All-cause dementia remains a significant public health concern, with stroke recognized as a key risk factor. Covariates included demographics, comorbidities, medications, laboratory measures, and vital signs. Stroke, Volume 56, Issue Suppl_1 , Page AWP269-AWP269, February 1, 2025.

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Healthcare Interoperability Considerations We Can’t Ignore in 2024

GEMMS

A great use case for achieving technical interoperability in cardiology clinics is GEMMS ONE , which applies common vocabulary or terminology standards , or common codes and terminologies to health and clinical concepts, to ensure that both sending and receiving machines will be able to interpret medical concepts with minimal ambiguity.

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Machine learning analysis of emerging risk factors for early-onset hypertension in the Tlalpan 2020 cohort

Frontiers in Cardiovascular Medicine

IntroductionHypertension is a significant public health concern. Data on sociodemographic, lifestyle, anthropometric, clinical, and biochemical variables were collected through standardized questionnaires as well as clinical and laboratory assessments. Several relevant risk factors have been identified.

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Prevalence and Mortality of Heart Failure Stages in a Free‐Living Older Adult Population: Data From the Brazilian Longitudinal Study of Adult Health

Journal of the American Heart Association

BackgroundHeart failure (HF) has a major impact on public health. This study aimed to determine the prevalence and mortality of HF stages in a Brazilian adult cohort of participants 60 years old and over.MethodsThe ELSABrasil (Brazilian Longitudinal Study of Adult Health) multicentric cohort comprises 15 105 adults.