Researchers at the Johns Hopkins Kimmel Cancer Center used machine learning techniques to detect mutational signatures in cancer patients. Their algorithm outperformed the current standard of analysis and revealed new mutational ...
Mar 30, 2021
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Russian scientists have proposed a new algorithm for automatic decoding and interpreting the decoder weights, which can be used both in brain-computer interfaces and in fundamental research. The results of the study were ...
Mar 23, 2021
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A computer algorithm based on a biological process could be used to detect breast cancer more effectively, according to new research published in the International Journal of Innovative Computing and Applications. A team ...
Mar 17, 2021
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Researchers at Geisinger have found that a computer algorithm developed using echocardiogram videos of the heart can predict mortality within a year.
Feb 8, 2021
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Scientists in Japan's brain science project have used machine intelligence to improve the accuracy and reliability of a powerful brain-mapping technique, a new study reports. Their development, published on December 18 in ...
Dec 18, 2020
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A computational method that combines clinicodemographic variables with deep learning of pre-treatment histology images could predict response to immune checkpoint blockade among patients with advanced melanoma, according ...
Nov 18, 2020
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Vanderbilt and VUMC researchers have created a technique that corrects distortions in MRI images, which helps researchers and radiologists to better interpret brain scans.
Nov 11, 2020
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A team of researchers at the University of Minnesota recently developed and validated an artificial intelligence algorithm that can evaluate chest X-rays to diagnose possible cases of COVID-19. Working together with M Health ...
Oct 1, 2020
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Researchers at EMBL's European Bioinformatics Institute (EMBL-EBI), the Wellcome Sanger Institute, Addenbrooke's Hospital in Cambridge, UK, and collaborators have developed an artificial intelligence (AI) algorithm that uses ...
Jul 28, 2020
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A multi-institutional group of researchers led by Harvard Medical School and the Novartis Institutes for BioMedical Research has created an open-source machine learning tool that identifies proteins associated with drug side ...
Jun 18, 2020
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