A Google DeepMind invention that uses artificial intelligence (AI) to predict how DNA mutations behave could have a ...

Researchers have changed the way to look at DNA. They show that DNA is much more than a linear sequence of building blocks; it has a 3D structure that influences the variation of human genome-wide ...

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.

Once disregarded as “junk DNA,” scientists now know that this molecular dark matter is crucial for determining gene activity ...

Google DeepMind's new model deciphers how hidden DNA changes drive disease, predicting gene regulation effects with high ...

A new AI model by Google DeepMind can decipher DNA and predict mutations, opening new doors for disease research. View on ...

The model suggests that negative KRAS findings are believable when the maximum of APC and TP53 frequencies is at least 8% (corresponding posterior probability of false negative <5%). Validation ...

Tsukuba, Japan—Studying the role of mitochondria—the specialized structures within cells responsible for energy production—in metabolic diseases has been difficult because of a lack of animal models ...

Cancer genomes are the result of diverse mutation processes that have often accumulated over decades. Scientists have analyzed the molecular evolution of tumors after exposure to mutagenic chemicals.

Studying the role of mitochondria—the specialized structures within cells responsible for energy production—in metabolic diseases has been difficult because of a lack of animal models with the ...