Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Abbreviations: Carbo or cis, carboplatin or cisplatin; Cyclo, cyclophosphamide; Doxo, doxorubicin; ER, estrogen receptor; Her (per), pertuzumab; Her (TRAS ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.