The origin of many diseases begins at the cellular level and involves multiple molecular interactions. However, previous methods have struggled to accurately observe changes in individual cells.
Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...
An award of up to $25 million Cancer Grand Challenges will help UC San Diego researchers and international collaborators reveal the molecular origins of cancer; Findings could yield new avenues for ...
According to Li-Qun Gu, DNA is an extremely compact, stable package of information. Natural DNA strands encode the biological blueprints of all life on Earth but ...
Scientists Uncover Shared Molecular Dependency Across Human Coronaviruses, From SARS To The Common Cold In A Nutshell Coronaviruses trigger the body’s own stress responses to chemically reprogram ...
From NATO phonetic to the Greek alphabet, plus historic military codes, Morse Symbols, and other tricky letter systems, there’s something for everyone in this quiz. We’ve created a 26-question ...
Researchers from the Center for Addiction and Mental Health (CAMH) and the Institute of Neurophysiology at Uniklinik RWTH Aachen in Germany have deciphered the molecular signature of so-called ...
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Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...
AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely a mystery. By Carl Zimmer In 2024, two scientists from Google DeepMind ...
Biotech startup CrisprBits uses CRISPR-based techniques to change the shape of diagnostics by decoding genetic sequencing It has devised diagnostic kits that are lower on costs, have higher precision, ...