More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care.

Unlock the secrets of overfitting and underfitting in machine learning. Learn how to optimize model performance and avoid common pitfalls.

What Can Cause Overfitting? In some ways, overfitting stems from issues with how the original data model was built, creating gaps in the machine’s understanding. This can happen for many reasons — ...

To solve this, the team developed PhyloFrame, a machine-learning tool that uses artificial intelligence to account for ancestral diversity in genetic data. The goal is to improve how diseases are ...

Overfitting in Machine Learning Overfitting is also a factor in machine learning. It might emerge when a machine has been taught to scan for specific data one way, but when the same process is ...