Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

“Bad,” or LDL, cholesterol is a major risk factor for heart disease and most people are screened for it as part of their yearly physicals. There’s another marker in the blood that may be a better ...

Abstract: Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide, and early identification is crucial to improve the patient’s prognosis. Traditional diagnostic methods for ...

ctDNA testing post-surgery identifies high-risk stage 3 colon cancer patients more accurately than traditional staging methods. Detectable ctDNA correlates with a four- to six-fold increased risk of ...

MammaPrint and BluePrint testing identify HR+/HER2- breast cancer patients who benefit from anthracycline-based chemotherapy. The FLEX Study showed MammaPrint High Risk 2 and BluePrint Luminal B ...

Enterprises have been piloting and testing different AI tools for the past few years to figure out what their adoption strategy will look like. Investors think that period of experimentation is coming ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

Francesco Chirico receives funding from Australian Research Council (ARC) Discovery Grant, and from Macquarie Business School. He is affiliated with Macquarie University, Macquarie Business School ...