Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...

For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

There are no established treatment options for patients with meningioma recurring after surgery and radiotherapy.

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

While generative AI has helped unlock creativity, agentic AI is now unlocking autonomy. However, the real transformation lies not in the technology, but in how enterprises design for it. As ...