Turning fragmented clinical data into actionable insight helps clinicians access unified patient information for faster, informed decisions across ...

Abstract: In industrial soft-sensor modeling, the scarcity and imbalance of process data often lead to overfitting and poor generalization of predictive models. To address these challenges, this ...

The National Association of Manufacturers recently reported that 50% of manufacturers plan to integrate AI, machine learning, and Industrial IoT sensor networks in production facilities by 2026.

Good afternoon and thank you for that kind introduction. And thank you to the Silicon Valley Leadership Group and to San Jose State University for having me here. I am looking forward to a great ...

3 Erasmus MC University Medical Center Sophia Children's Hospital, Rotterdam, Netherlands Due to the growing use of high-dimensional data and methodological advances in medical research, ...

Imagine trying to navigate an unfamiliar city with a broken compass. The needle appears steady and reliable, instilling confidence in each turn you take. But unbeknownst to you, every step leads you ...

In today's data-driven world, the confluence of big data, artificial intelligence (AI), and public health emerges as a pivotal juncture poised to reshape healthcare paradigms. This Research Topic ...

In various official documents, the European Union has declared its goal to pursue a “people-centric” digital transformation. While fuzzy in its formulation, this generally entails the defense of ...

Across industries, companies are racing to implement AI. Yet while models get built, dashboards deployed, and pilots launched, enterprise adoption often stalls. Most efforts fail to translate ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...