Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...
Scientists are exploring how DNA’s physical structure can store vast amounts of data and encode secure information.
Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...
When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and ...
Since the computer age began, storing and securing escalating data volumes has been a headache. But that problem could potentially be solved using DNA.
What if cattle were selected not only for their productivity, but also for their resistance to disease? A study conducted by ...
Future AI-guided genomic analysis offers the potential to further optimize gene constructs, expression profiles, and performance traits, accelerating the development of next-generation materials.
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
In his Nobel Prize acceptance speech in 1980, genomics pioneer Fred Sanger described science as “a voyage of discovery into unknown lands, seeking not for new territory but for new knowledge.” It’s ...
Google DeepMind, the artificial intelligence subsidiary of Alphabet, has made another leap in its efforts to illuminate human biology: progress toward using AI to interpret the many still-mysterious c ...
News Medical on MSN
Computational method clarifies microbial signals in tumor sequencing
When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and fungi – microorganisms that, if actually present in tumor tissues, could influence how ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results