In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

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 ...

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 ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

Evaluation of deep learning tools underscores strengths, limitations and opportunities for next‑generation hybrid modeling.

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.

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, ...

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 ...

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 ...