Mount Sinai experts to present new analysis on AI models that could predict congenital heart defects and placenta accreta spectrum at the 2026 SMFM Annual Pregnancy Meeting

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of electrocardiogram (ECG) non-linear features and different topological medical features (heart rate, anthropometry, blood, glucose, and lipid profile, and heart rate variability) to discriminate between different Framingham Cardiovascular Risk Scale status groups in adult obesity using machine learning.

During American Heart Month 2026, the National Fraternal Order of Police joins the American Heart Association in urging Americans everywhere to be the help until help arrives and learn how to respond in a medical emergency such as cardiac arrest – when providing help like cardiopulmonary resuscitation (CPR) can be the difference between life and death.

A new Northwestern Medicine study has personalized overnight fasting by aligning it with individuals’ circadian sleep-wake rhythm — an important regulator of cardiovascular and metabolic function — without changing their caloric intake. 

The study found that among middle-age and older adults who are at higher risk for cardiometabolic disease, extending the participants’ overnight fast by about two hours, dimming the lights and not eating for three hours prior to bedtime improved measures of cardiovascular and metabolic health during sleep, as well as during the daytime. 

“Timing our fasting window to work with the body’s natural wake-sleep rhythms can improve the coordination between the heart, metabolism and sleep, all of which work together to protect cardiovascular health,” first author Dr. Daniela Grimaldi said.

A study, published in Circulation Research, identifies cardiac fibroblasts and resident macrophages as essential contributors to the characteristic electrical activity that maintains this arrhythmia

A longitudinal study of samples from patients with severe trauma has revealed several markers and outcome patterns that can be used to categorize patients and predict their clinical course, according to new work. The findings suggest that stratifying patients by these protein and metabolic markers could lead to more personalized therapeutic plans, potentially leading to better outcomes. Trauma and blood loss from severe injuries are still leading causes of death worldwide, and treatment is often difficult. Even patients who experience the same type of injuries can display a wide range of responses to the injury and may also vary in later complications. One common complication is thromboinflammation, a combination of inflammation and thrombosis that is a major driver of mortality in patients recovering from trauma. However, thromboinflammation and its diverse presentations are still somewhat of a mystery to researchers. Seeking insight, Mitchell Cohen and colleagues gathered longitudinal samples from 97 healthy controls and 118 patients with trauma who were involved in a clinical trial. Performing comprehensive multiomic analyses, the team searched for connections between the levels of various proteins and metabolites in the blood of patients at presentation and over the course of their hospital stay. Their search revealed that patients could be grouped into one of several thromboinflammation “endotypes” according to these markers. By following the trajectories of the endotypes over time, they could better predict associations with patient outcomes. For example, patients who had unusually high activity of proteasomes – protein complexes that break down molecular refuse – or of molecules called superoxides had an elevated risk of heart and lung failure. Cohen et al. also confirmed their endotypes could predict outcomes when applied early after injury in a validation cohort. “Trauma endotyping by trajectory could dynamically guide and therefore improve outcomes of patients with trauma by enabling personalized care,” the team writes.