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Leveraging AI-Driven Care to Significantly Reduce Heart Failure Readmissions: The Linea Model

Linea integrates generative AI and high-touch virtual nursing to proactively manage heart failure patients, achieving a 50% reduction in hospital readmissions within 90 days, substantially lowering costs and improving patient outcomes.

Section: AIOct 3, 2025

Anaemia as a Predictor of Iron Dysregulation and Modulator of Empagliflozin Response in Heart Failure with Reduced Ejection Fraction: Insights from the EMPATROPISM-FE Trial

In patients with heart failure and reduced ejection fraction, anaemia predicts iron homeostasis disruption and influences response to empagliflozin, which increases myocardial iron and improves cardiac function and exercise capacity.

heart failure

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Leveraging AI-Driven Care to Significantly Reduce Heart Failure Readmissions: The Linea Model

Anaemia as a Predictor of Iron Dysregulation and Modulator of Empagliflozin Response in Heart Failure with Reduced Ejection Fraction: Insights from the EMPATROPISM-FE Trial

Impact of Structural Cardiac Abnormalities on the Efficacy and Safety of Sacubitril/Valsartan in Patients with Mildly Reduced or Preserved Ejection Fraction and Worsening Heart Failure: Insights from the PARAGLIDE-HF Trial

Enhancing Muscle Microvascular Function in Heart Failure: The Role of Acute BH4 Administration

Examining the Link Between Obesity and Kidney Outcomes in Heart Failure with Preserved Ejection Fraction

Evaluating Erythrocytosis Incidence and Thromboembolic Risk in HFrEF Patients Treated with SGLT2 Inhibitors

Dapagliflozin and Spironolactone: A Promising Combination for Heart Failure with Preserved Ejection Fraction

Evaluating the Heart Failure Risk in Type 2 Diabetes: Insights from 1.6 Million People in England

Heart Failure Risk with Pregabalin vs Gabapentin: New Evidence for Chronic Pain Management in Older Adults