A team of physicists has developed a groundbreaking method for detecting congestive heart failure with greater ease and precision than previously thought possible. This multidisciplinary study, ...

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...

A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has developed a new computational method that can efficiently determine the crystal structures of multiphase ...

Meshfree methods have emerged as a powerful alternative to traditional finite element approaches by eliminating the reliance on fixed meshes for domain discretisation. These techniques, which include ...

Researchers have built a series of AI-driven and computational tools that scan microbial genomes to detect bacterial defense ...

Computational methods are now a cornerstone in the study of fluid flow, heat transfer and mass transfer phenomena, underpinning modern simulations that inform both fundamental research and engineering ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

A new computational method can identify how cause-and-effect relationships ebb and flow over time in dynamic real-life systems such as the brain. The method was reported today in a Reviewed Preprint ...

Since the completion of the Human Genome Project, single linear reference genomes (such as GRCh38) have served as the foundation for biomedical research. However, the genetic backgrounds of human ...

Researchers from MIT’s Department of Biology have developed a new computational method called FragFold, which shows promise for advancing biological research and therapeutic applications. The newly ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...