Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
In a new UCLA-led study, investigators shed light on the intricate processes underlying cancer evolution and define the optimal algorithms to analyze the genetic makeup of tumors. Understanding the ...
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 ...
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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 ...
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, ...
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 ...
Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of ...
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 ...
Researchers at Washington State University (WSU) in the US have developed an algorithm tailored to improve the accuracy of wearable health devices. The algorithm claims to compensate for missing ...
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