AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

DUBAI – In a solid executive action that is in accordance with the UAE's National Strategy for Artificial Intelligence 2031, ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

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 ...

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...

Introduction: Familial hypercholesterolemia (FH) is a group of monogenic disorders causing high LDL levels and early cardiovascular diseases (CVD). Objectives: We present a PCP-initiated FH screening ...

Conditional genetics and single-embryo RNA-seq show that SETDB1 extinguishes the transient, retroelement-driven transcriptional programs of the totipotent two-cell state to facilitate the exit from ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Mitochondria possess their own mRNA translation system, mediated by specialized mitoribosomes. Dysregulation of mitochondrial translation disrupts metabolic homeostasis and is linked to various ...

Marvel Comics' May 2026 Full Solicits.... Armageddon, X-Men, Death Spiral, oh yes, and the All-New All-Spectacular Spider-Man/Superman ...

This article takes a deep dive into the history of proteomics from the conception of the term “proteome” up to modern-day advances in bioinformatics and single-cell protein analysis.