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 ...
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Deep AI training gets more stable by predicting its own errors
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.
With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...
Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography
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 ...
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, ...
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 ...
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
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, ...
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 ...
Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography
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 ...
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