High-throughput sequencing, single-cell technologies, and large-scale population studies have transformed genetics and genomics into data-intensive ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Social media algorithms change fast, and this article shares what works now with insights from leading experts. It offers simple steps on native content, consistent cadence, and genuine discussion ...

With his computer plugged into a projector at the front of the room, Hudson Blankner, a freshman in Gabe Johnson’s Computational Foundations 1 class, displayed his final project: a trio of classic ...

There are few hard and fast rules in the study of life, but perhaps the closest we get is the central dogma of molecular biology: DNA is transcribed to RNA, which gets translated into proteins. The ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

Uncovering complex disease patterns from large-scale, heterogeneous health data remains a significant challenge. Traditional statistical methods and conventional machine learning algorithms often ...

Crypto thrives on cutting-edge technology, but quantum computing could challenge the cryptographic foundations that keep Bitcoin secure. As quantum advancements accelerate, concerns about risks to ...

A report from a code analysis vendor compares the details behind genAI rollouts between the two verticals, revealing that 61% of retail genAI code repositories show active development, compared to 22% ...