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RCE Technologies, Inc. Announces First-In-Human Transdermal Continuous Cardiac Biomarker Monitoring

DAIC

RCE Technologies, Inc. RCE) is an innovative artificial intelligence (AI) based medical technology company dedicated to early heart attack detection. RCE) is an innovative artificial intelligence (AI) based medical technology company dedicated to early heart attack detection. Featured in an ACC.24 Featured in an ACC.24

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Bodyport Presents Preliminary Analysis of SCALE-HF 1 Study on Remote Heart Failure Monitoring at Technology and Heart Failure Therapeutics (THT) Conference

DAIC

a biomarker-guided predictive care company, has presented data showing its FDA-cleared, non-invasive, biomarker-based technology for remote heart failure monitoring detected twice as many heart failure events as compared to the weight-based standard of care. Bodyport Inc., Image courtesy: Bodyport Inc.

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Circulating bacterial DNA in cardiovascular disease

Frontiers in Cardiovascular Medicine

Conventional biomarkers, while effective for a number of patient groups, fail to provide personalized diagnosis and prognosis, necessitating the exploration of novel markers. Recent attention has turned to a subset of cfDNA, circulating bacterial DNA (cbDNA), derived from gut microbiota, as a potential biomarker.

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Landmark Clinical Study in The Lancet Finds New AI Technology Can Predict Cardiac Events Due to Coronary Inflammation at Least 10 Years in Advance

DAIC

Caristo Diagnostics Limited has announced the results of a landmark clinical study published in The Lancet that support the ability of Caristo's CaRi-Heart AI technology to quantify coronary artery inflammation and accurately predict cardiac events. The CaRi-Heart technology is in clinical use in the UK, European Union, and Australia.

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HeartBeam Unveils AI Program Designed to Deliver Unprecedented Personalized Cardiac Insights

DAIC

a medical technology company focused on transforming cardiac care through the power of personalized insights, announced significant developments for the use of artificial intelligence (AI) applied to its proprietary vectorelectrocardiography (VECG) technology, including the addition of new leadership and advisory roles.

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Abstract TP140: The Blood Proteome Profiling Identifies Biomarkers Associated With Ischemic Stroke Prognosis

Stroke Journal

Based on machine learning algorithms such as LASSO regression and exhaustive feature selection (EFS), we finally identify some biomarkers (IQGAP2, LYZ, PDGFD, EHD3, CETP, FYB1) are validated as contributors to the ischemic stroke prognosis model through verification of an additional 58 serum samples. AUC range:0.65-0.99).Conclusion:We

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Screening differentially expressed proteins to distinguish thymoma (B1 and B3) from thymic cysts based on tandem mass tag (TMT) technology

Journal of Cardiothoracic Surgery

Predicted biomarkers for identifying thymic cysts and thymoma (THYM) are crucial. The therapeutic approach to thymic cysts remains a subject of controversy. In this research, patients diagnosed with thymic cys.