Researchers analyzed 4,390 genes included across 27 NBSeq programs, identifying key factors influencing gene inclusion. While the number of genes analyzed by each program ranged from 134 to 4,299 ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

With machine learning (ML), that’s how. Advancements in ML technology now enable organizations to efficiently process unstructured data and improve quality assurance efforts. With a data ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

For its study, the research team set out to determine if a machine-learning statistical model could use health characteristics stored in electronic health records -- providing patient data such as ...

Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy The method could accelerate the development of more effective adeno-associated viruses (AAVs) ...