This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

The global federated learning market size was US$ 108.8 million in 2021. The global federated learning market is expected to grow to US$ 251.1 million by 2030 by growing at a compound annual growth ...

Subsequently, ten machine learning (ML) algorithms (AB, DT, ET, GNB, KNN, LR, MLP, RF, SVC, and XGBoost) were applied to selected key genes to classify cancer and normal samples. Upon evaluating model ...

BullFrog AI Holdings, Inc. (NASDAQ: BFRG; BFRGW) ("BullFrog AI" or the "Company"), a technology-enabled drug development company using artificial intelligence (AI) and machine learning to enable the ...

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

Editorial on the Research Topic Applications of AI, machine learning, computational medicine, and bioinformatics in respiratory pharmacology Alvin Toffler, in his wave theory, has described three ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session " Predicting the Future using Azure Machine Learning, ...

Hub genes in IC/BPS patients were identified through the application of three distinct machine-learning algorithms. Additionally, the inflammatory status and immune landscape of IC/BPS patients were ...

Learn what skills and qualifications are essential for a data scientist in the biotech industry, and how to assess them in your candidates.