Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...
How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...
Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
Abstract: Utilizing remote sensing technology to accurately and efficiently extract paddy rice planting area is crucial for ensuring food security. In southern Jiangsu, cloudy and rainy weather ...
Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...
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