Researchers at the Carl R. Woese Institute for Genomic Biology are a step closer to realizing this goal by integrating machine learning-based analysis into point-of-care biosensing technologies. The ...

Woese Institute for Genomic Biology are a step closer to realizing this goal by integrating machine learning-based analysis into point-of-care biosensing technologies. The new method, ...

Machine Learning Approach for Rapid, Accurate Point-of-Care Prediction of M-Spike Values in Multiple Myeloma. JCO Clin Cancer Inform 7 , e2300078 (2023). DOI: 10.1200/CCI.23.00078 ...

With data collected during routine care, machine learning could be used to identify likely diagnoses ... prescribed at the point of care with what a ... exists in repositories such as GitHub.

Chinese cloud vendor releases "core codes" of its Alink platform on GitHub, uploading a range of algorithm libraries that support processes for machine learning tasks, such as online product ...

Github has grown to more than 40 million developers and its growth is getting a big boost from data science, artificial intelligence and machine learning repositories. In its annual Octoverse ...

GitHub assembled a list of the most popular languages used for machine learning that it hosts on its site—some of which may surprise you. This ebook offers a concise overview of the top 10 ...

A machine learning tool to rapidly monitor disease status in patients with multiple myelomaPURPOSEThe gold standard for monitoring response status in patients with multiple myeloma (MM) is serum and ...