Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research ...

The recurring problems with AI Overviews stem from a design flaw in how the system works. As we reported in May 2024, Google ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...

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

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...

This paper summarizes insights from an April 2024 convening by the Yale School of Public Health—The Role of Data in Public Health Equity and Innovation—with intersectoral stakeholders from academia, ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Abstract: In view of the high computational complexity and noise sensitivity of traditional algorithms in the current field of medical image segmentation, this paper proposes a deep medical image ...