Using machine learning, OmicsTweezer merges diverse data by using deep learning combined with optimal transport.

Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is crucial for understanding diseases such as cancer.

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

How do children and parents think about children's health – and how can artificial intelligence (AI) analyze their attitudes?

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

New module addresses multi-billion-dollar data quality challenge in life sciences by automating data cleansing, standardization, and transformation for AI readiness Built for scale, security, and ...

Tevogen.AI’s model drastically reduces target analysis and has the potential to generate billions in cost savings across the healthcare system by streamlining early-stage drug discovery, reducing wet ...

Researchers from the University of Campinas (Campinas, Brazil) and the Waters Research Center (Budapest, Hungary) introduced ...