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Local ancestry inference method could improve accuracy of genetic testing and patient diagnoses

Researchers at Texas Children's Neurological Research Institute (NRI) and Baylor College of Medicine have developed a powerful new tool within the Genome Aggregation Database (gnomAD) to sharpen the ...
Baylor College of Medicine

Researchers develop new tool to improve accuracy of genetic testing

Researchers at Baylor College of Medicine and the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital (Duncan NRI) have created a new way to measure genetic variants in the ...
EurekAlert!

Texas Children’s researchers create groundbreaking tool to improve accuracy of genetic testing

HOUSTON (Oct. 6, 2025) – Researchers at Texas Children’s Neurological Research Institute (NRI) and Baylor College of Medicine have developed a powerful new tool within the Genome Aggregation Database ...
HUB

Novel machine learning method can improve genetic risk assessments for non-white populations

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...
News Medical

New algorithm could improve the search for genetic cause of hereditary diseases

So far, it has not been possible to explain the causes of around half of all rare hereditary diseases. A Munich research team has developed an algorithm that predicts the effects of genetic mutations ...
Science Daily

Cutting-edge algorithm improves intracranial EEG accuracy to improve future patient care

A research team evaluated the reliability of human experts in comparison to an automated algorithm in assessing the quality of intracranial electroencephalography (iEEG) data. Published in the Journal ...