LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include severe side effects (such as potentially life threatening pneumonitis [PN]), which can cause the ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each approach’s respective advantages.

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully developed a "self-evolving" edge AI technology that enables real-time learning and ...

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

This figure illustrates the overall framework and loss function design of the proposed Geostrophic-TAU U-Net (GTU-Net) for sea surface height prediction. The upper panel presents the physical ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Developing and Validating an Automatic Support System for Tumor Coding in Pathology Reports in Spanish Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include ...