Regulatory authorities emphasize integrated control strategies, but CAR-T specification setting requires balancing data rigor with regulatory flexibility.

A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a crucial task in data ...

Among these, diabetes and hypertension stand out as significant contributors to the nation’s health burden. Nearly 1 in 3 ...

Here's how emerging encryption innovations can help organizations reduce risk, strengthen compliance and prepare for next-gen ...

Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...