Researchers Show That a Machine Learning Model Can Improve Mortality Risk Prediction for Cardiac Surgery Patients

A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a significant performance advantage over current population-derived models.

New Data Shows 85% Reduction in One-Year Mortality for Medicare Heart Failure Patients With BVA-Guided Care

New data validate the benefits of the BVA-100 blood volume measurement test for Medicare heart failure patients. Data were presented at the Heart Failure Society of America (HFSA) Annual Scientific Meeting (ASM) 2022 – which brought together the world’s leading experts in heart failure.

When Catastrophe Strikes, ‘Think Aorta’

Vascular and cardiac surgeons in the Smidt Heart Institute at Cedars-Sinai know all too well the danger that looms when a patient experiences a tear in their heart’s main artery, called an aortic dissection. The condition, however, is often mistaken by patients—and even some physicians and nurses—for a heart attack, which can delay diagnosis and subsequent lifesaving surgery.

Second COVID-19 Wave in Europe Less Lethal Than First Wave

As Europe experienced its enormous second wave of the COVID-19 disease, researchers noticed the mortality rate was much lower than during the first wave. This inspired some to study and quantify the mortality rate on a country-by-country basis to determine how much the rate decreased. In Chaos, they introduce methods to study the progression of COVID-19 cases to deaths during the pandemic’s different waves; their methods involve applied mathematics, specifically nonlinear dynamics, and time series analysis.