By analysing huge amounts of biological data, the use of machine learning accelerates the identification of critical control ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve ...

In a study published in Science on Feb. 21, Stanford Medicine researchers outlined their creation of a machine learning model ... The researchers created a new algorithm “Mal-ID” which uses ...

By integrating artificial intelligence, real-time analytics, and robotic-assisted procedures, digital health platforms are ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing.

Gene mutations in acute myeloid leukemia (AML) cells can guide treatment options, and machine learning can rapidly guess the ...

In today’s rapidly evolving technological landscape, the application of intelligent systems is profoundly altering various sectors, with healthcare emerging as a primary beneficiary. Solutions powered ...

Artificial Intelligence (AI) has revolutionized countless industries, and healthcare is no exception. Among the most ...

Then, they use this dataset to train a machine learning algorithm that learns to predict a substance’s chemical identity from its spectrum. Sophisticated algorithms whose inner workings can be ...

A strength of this study, Quinlan said, was the approach they took to training their machine learning model to recognize the different genetic signatures ... "We used an algorithm that takes ...

Approximately 1 in 15 children are born with a rare genetic condition ... with EpiSign demonstrates how advanced AI and machine learning techniques can accelerate innovation in healthcare ...