This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

The study underscores the importance of door-in-door-out time as a metric associated with patient outcomes, one expert says.

Recently, a collaborative effort among research centers in the United States and Europe resulted in the development of ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

A Guardian investigation into the U.S. overdose slowdown found that national declines masked sharp local disparities. Here's how the reporting team got the story.

The article reviews benefit-sharing efforts in South African genomics research, highlighting lessons from varied community settings and urging flexible, sustainable models that prioritize engagement, ...

We assessed how germline Y haplogroups and somatic loss of the Y chromosome (LOY) associate with risk of disease in East Asian and European populations. LOY increases the risk of type 2 diabetes in ...

Learn how using historical data, instead of standard deviation, offers a more accurate assessment of stock volatility and risk management strategies.

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

The EU general data protection regulation (GDPR) is the strongest privacy and security law in the world. This regulation updated and modernised the principles of the 1995 data protection directive. It ...