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Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
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