Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the gears of recommendation algorithms spin under the hood. These systems sort ...

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.

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 ...

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 ...

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 ...

This is a shared framework for conducting analyses and assessments of risks to information integrity. This approach sets a standard that can be tailored to the needs of specific contexts or teams yet ...

A data-driven environmental planning framework strengthens climate governance through quality control standards, interdisciplinary expertise, and predictive emission modeling. By integrating ...