In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Gene editing technologies—such as those used in agriculture and de-extinction projects—can be repurposed to offer what an ...

Scientists challenging conventional beliefs around the genetic risk factors for Alzheimer’s have discovered a genetic link ...

Today, genomics is saving countless lives and even entire species, thanks in large part to a commitment to collaborative and ...

Genetic algorithms can automate data preparation, feature selection, and hyperparameter tuning in machine learning. Learn to build efficient, end-to-end ML pipelines with this step-by-step guide.

This study aimed to predict tumor response to nivolumab anti–PD-1 antibody treatment for advanced RCC by integrating genetic and clinical data using machine learning (ML).

This research roundup explores the role of sugar molecules in brain degeneration, a machine learning algorithm to detect diseases and a generative AI tool that can generate original genetic code.

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help ...

We present an artificial intelligence-guided approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs a genetic algorithm (GA) that ...

University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.