In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...

The kidney is one of the body's most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven ...

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

Glycolysis (M4) protein levels were increased after LVAD implantation in BTT. In heart failure, the myocardial energy ...

The identification of 20 causal plasma proteins for prostate cancer represents a critical step toward addressing the need for improved diagnostic specificity and reveals promising new targets for ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .