Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

The study uncovers obesity's genetic links to chronic diseases, offering insights into multimorbidity and the potential for ...

Generative artificial intelligence (GenAI) is now a reality in higher education, with students and professors integrating chatbots into teaching, learning and assessment. But this isn't just a ...

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...

Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...

Columnist Michael Le Page delves into a catalogue of hundreds of potentially beneficial gene mutations and variants that is ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it takes for cells to behave in desired ways—for example, getting them to produce ...

Dengue remains a significant and critical global health concern, especially in resource-constrained and remote regions, where traditional IgG/IgM-based testing is often delayed or not conducted ...

Introduction: Effective energy management for optimizing energy and speed allocation for athletes in road cycling individual time trials is crucial due to the race’s long distances. Existing ...