A popular college football predictive algorithm has Michigan State struggling again this season ...

Some studies have developed machine learning (ML) models for the prediction of pneumonitis following immunotherapy and radiotherapy for patients with lung cancer (LC). However, the prediction accuracy ...

Assigning a prognosis for a disease or predicting therapy outcomes is a key step in clinical decision-making and precision medicine. It enables the differentiation between non-responding and ...

Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

Business leaders today are navigating an era of complex uncertainty, where risk moves faster than traditional oversight can keep up. From global supply chain volatility to internal compliance ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed ...

For the AI industry, this represents more than the launch of a project — it signals the first time predictive capability enters the global market in an ecosystemized, networked, and value-driven form.

Researchers around the world share results from a novel model that can provide tailored predictions of how individual patients respond to different therapies. Multiple myeloma remains challenging to ...

Camrelizumab combined with rivoceranib and TACE in the perioperative treatment of hepatocellular carcinoma: A randomized, open-label multicenter trial. This is an ASCO Meeting Abstract from the 2025 ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

Questar analyzed a large mixed-class fleet and discovered it was wasting as much as $30 in fuel per vehicle, per day, because of mechanically degraded aftertreatment systems.