These are the technology trends that are poised to shape the year ahead – and no, it’s all not all about artificial ...

On-site at the ‘SF Future Sketch Workshop’ by Dong-A Science and the Korea Institute of Science and Technology (KIST) ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Background Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality with limited therapeutic options. Despite ...

To avoid becoming a commodities industry, combinatorial chemistry companies are broadening their technology base. Since Nature Biotechnology published the first-ever map of the combinatorial chemistry ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas ...

With more than 50 million redeemed miles under her belt, Becky Pokora is a rewards travel expert. She's been writing about credit cards and reward travel since 2011 with articles on Forbes Advisor, ...

Combinatorial libraries are collections of chemical compounds, small molecules or macromolecules such as proteins, synthesized by combinatorial chemistry, in which multiple different combinations of ...

Antiretroviral therapy (ART) involves a combination of drugs to treat HIV by preventing viral replication, restoring immune function, reducing HIV-related complications, and lowering the risk of ...

Abstract: Terminal network reliability problems appear in many real-life applications, such as transportation grids, social and computer networks, communication systems, etc. In this paper, we focus ...

Abstract: Combinatorial optimization problems (COPs) are essential in various applications, including data clustering, supply chain management, and communication networks. Many real-world COPs are non ...

Combinatorial optimization is the process of searching for maxima (or minima) of an objective function F whose domain is a discrete but large configuration space (as opposed to an N-dimensional ...