Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Objectives This study aimed to investigate the association of the triglyceride-glucose (TyG) index with the risk of acute myocardial infarction (AMI) and all-cause mortality in patients with coronary ...

Abstract: In this paper, radial-force shaping using the logistic function is proposed for acoustic noise reduction in switched reluctance motors. The proposed radial-force shaping regulates the radial ...

Before his company’s epic bankruptcy, Ryan Kavanaugh pitched Hollywood that he could predict box office winners with his “Monte Carlo” algorithm. We all know how that turned out, but that hasn’t ...

Can A.I. be used to track and predict hurricanes in the upcoming tropical storm season? We speak with Bryan Norcross, FOX Weather meteorologist and hurricane specialist, about how this new tool is ...

Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available ...

Steffen Schmitz-Valckenberg, MD, discusses how optical coherence tomography-based models may enable rapid, noninvasive assessment of functional loss in GA at Angiogenesis 2026. In this Q&A ...

The leaf area index (LAI) dynamics in sugar beet follow a double sigmoidal curve, modeled as the subtraction of two sigmoid functions. In this study, we examined the accuracy of 15 different sigmoid ...

Figure 1: LASSO feature ranking and SHAP explanatory for Cases 1, 2, and 3 feature selection models. A positive SHAP value indicates a positive impact on prediction, leading the model to predict 1 ...

Wolff said a presidential pardon can be bought, as long as the price is right: "There are no free pardons here," he said, explaining that wealthy and high-profile offenders need to "know people who ...

Every Monday morning, leaders across industries open their inboxes to a deluge of Requests for Proposal (RFPs). Some are worth chasing; others are high-effort, low-return distractions. The challenge ...

Logistic Regression is a machine learning algorithm used in binary classification tasks. In this article, I’ll dive deep into the cost function that is used for logistic regression and also how ...