Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

A new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep. The research, which has been ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...

Quasars acting as strong gravitational lenses are among the rarest finds in astronomy. Out of nearly 300,000 quasars ...

Aranyak Goswami, an assistant professor of computational biology, will talk Wednesday about decoding the gut-brain connection to neuropsychiatric disorders such as depression, autism and schizophrenia ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...