Metabolic and regulatory networks may be expanded by coupling high-throughput phenotyping and gene expression data with the predictions of a computational model. (Reprinted with permission, Nature, ...

Andrea Califano, PhD, professor of chemical and systems biology at Columbia University, encourages an artificial intelligence (AI) approach to cancer immunotherapy, where AI models predict the genes ...

Understanding complex biological pathways, such as gene-gene interactions and gene regulatory networks, is crucial for exploring disease mechanisms and advancing drug development. However, manual ...

Traditional methods for identifying therapeutic gene targets, crucial for personalized medicine, are expensive and time-consuming. While artificial intelligence (AI), particularly deep learning ...

Scientists at The University of Texas at Austin have developed a revolutionary gene-editing method using bacterial retrons ...

Researchers at Fujita Health University and the Tokyo Metropolitan Institute of Medical Science have uncovered a previously overlooked form of brain abnormality linked to anxiety: excessive maturation ...

The Target Malaria UK modeling team at Imperial College London has published their latest study in Nature Communications, titled "The potential of gene drives in malaria vector species to control ...

Researchers have developed a model that uses gene activity to predict when Somei Yoshino cherry tree buds awake from dormancy. Their findings could not only help improve the accuracy of flowering ...

Heart failure has historically been irreversible, but the outcome of a new study suggests that could someday change. At the University of Utah, scientists used a new gene therapy that was shown to ...

Starting in his early teens, Deshawn "DJ" Chow wasn't sure he'd ever be able to live a normal life. Crushing pain episodes brought on by his sickle cell disease were getting progressively worse. "It's ...