We combined a machine learning algorithm with knowledge gleaned from hundreds of biological experiments to develop a technique that allows biomedical researchers to figure out the functions of the ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...

—Researchers recently identified 2 distinct genetic subgroups in follicular lymphoma, shedding light on the factors influencing its transformation to diffuse large B-cell lymphoma. What are the ...

A new research paper titled "Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas: next-generation sequencing and machine learning for full tumor exome analysis" has been ...

BUFFALO, NY- February 14, 2024 – A new research paper was published in Oncotarget's Volume 15 on February 5, 2024, entitled, “Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...