A new article introduces a science-based operational framework developed by researchers from several universities and the ...

We analyzed 4,427 patients with MDS divided into training and validation cohorts. Deep learning methods were applied to integrate and impute clinical/genomic features. Clustering was performed by ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Real-time and early detection of minute changes in the functioning of the cardiovascular system is crucial for managing critically ill patients, such as newborns and older adults, and can ...

What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...

Wealth and asset managers need to thrive in an increasingly saturated market. Many firms fall into the trap of using generic descriptors like ”long-term,“ ”well-rounded,“ which only add to the ...

Using an expert consensus-based approach, a netball video analysis consensus (NVAC) group of researchers and practitioners was formed to develop a video analysis framework of descriptors and ...

A new internationally peer-reviewed scientific article introduces a science-based operational framework developed with the Danish Biodiversity Council. The framework can help countries assess their ...

A new technical paper, “An Integrated Failure and Threat Mode and Effect Analysis (FTMEA) Framework with Quantified Cross-Domain Correlation Factors for Automotive Semiconductors,” was published by ...