“In the best-case scenario, when you adopt these new techniques, even on the same old data, it’s kind of like putting on ...

Background: Bladder cancer (BLCA) continues to be a significant cause of cancer mortality in the urinary tract, with therapeutic resistance representing a major barrier to improving patient outcomes.

1 Department of Neurology Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China 2 College of Medicine, Medical University of South Carolina, Charleston, SC, ...

The impacts of social media algorithms are manifold: Algorithmically powered newsfeeds on social media threaten to destabilize countries and governments around the world, deeply impact mental health, ...

Inferring the cell-type composition of bulk samples can provide biological insight. While bulk transcriptomics data has been extensively used for this purpose, the use of proteomics data has remained ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Charge state deconvolution is essential for efficient and effective protein mass ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...

Social media algorithms are reshaping the landscape of journalism, presenting both challenges and opportunities for the future of news. This article explores the multifaceted impact of these ...

According to a study published in Advanced Photonics, researchers at Zhejiang University in China, led by Prof. Delong Zhang, have developed a new approach that represents a significant advancement in ...

The increasing use of tissue clearing techniques underscores the urgent need for cost-effective and simplified deep imaging methods. While traditional inverted confocal microscopes excel in ...