Abstract: Artificial intelligence (AI) is increasingly leveraged for decision support in complex, high-stakes environments such as medical triage. Training AI models typically relies on aligning with ...

ABSTRACT: Alpine and subalpine belts on continental Europe can be viewed as “islands” of cold-adapted vegetation surrounded by a “sea” of thermophilic species. Carex curvula, a flagship species that ...

Quantori, a leading provider of digital transformation services and technology for the life sciences and healthcare industries, and Expert Systems, a pioneer in next-generation AI solutions, today ...

Objective: To evaluate immune microenvironment markers for predicting sepsis-induced myocardial dysfunction (SIMD) and establish three predictive models—nomogram, decision tree, and gradient boosting ...

While not as mature as its use in other areas, health systems across the U.S. are beginning to adopt predictive analytics tools for labor cost forecasting. Many organizations have automated ...

AI models use data, not luck, to spot the next 100× crypto tokens. By analyzing price trends, wallet flows, and sentiment, crypto prediction tools reveal breakout projects before the crowd. Every bull ...

Background: While predictive models that leverage artificial intelligence (AI) have been proposed to improve clinical outcomes, it is essential to examine the current landscape of their dissemination ...

The next LSU head coach remains a mystery, at least according to the predictive markets. Kalshi Inc., the New York-based event exchange, has posted odds that reflect where money and sentiment align.

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...

After several years as an operations leader for GEICO in Virginia, Phil Offutt was considering an MBA. But when he learned about the M.P.S. in Insurance Management program at Columbia University ...