As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...
When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine ...
In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...
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The future of automation: Machine learning–driven hepatocyte and organoid counting
DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...
The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...
Artificial-intelligence programs, like the humans who develop and train them, are far from perfect. Whether it’s machine-learning software that analyzes medical images or a generative chatbot, such as ...
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
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