A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Lone Star's Vigorous AI addresses this by enabling systems to weigh multiple perspectives simultaneously, optimizing decisions based on context, cost, benefit, and risk. "Lone Star continues to focus ...

Artificial intelligence is rapidly transforming how scientists study and protect the environment, shifting the field from ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

Heart failure risk prediction improves when gut-derived biomarkers are added to traditional models, revealing residual risk ...

A Berkeley-trained quantitative researcher who developed quantitative approaches to align internal credit assessments with ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to ...

Researchers developed a method to predict olive oil composition directly from olives, identifying key compounds with high ...