Context-dependent genetic modifiers of neurodegenerative condition revealed through multimodal machine learning ...
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
3don MSN
Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona (UBneuro) has applied advanced artificial intelligence techniques to better ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
The Manila Times on MSN
Artificial intelligence seen as a force multiplier for research, discovery
ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and ...
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
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