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 ...

To address critical research challenges in heavy-ion collisions at Fermi-energy regimes—specifically targeting the nuclear equation of state (nEoS), Femtoscopic interferometry of light nuclei, and ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

Impact of High-Quality Goals-of-Care Discussions on Oncologist Productivity The framework was developed following Evidence and Value: Impact on Decision-Making methodology, and literature was reviewed ...

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 ...

This article and associated images are based on a poster originally authored by Matthew Chung, William Guesdon, Kai Lawson-McDowall and Matthew Alderdice and presented at ELRIG Drug Discovery 2025 in ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

Following the setting of agreed assessment objectives, an analytical framework for the assessment must be defined. An analytical framework provides a structured approach to gathering and interpreting ...

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 ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...