Tech Xplore on MSN

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 ...
Chromatography Online

AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide Retention Times

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, ...
ucdavis.edu

Computational Model Uses Language Theory to Predict DNA Shapes That Underlie Gene Expression and Disease

R-loops are structures that form when a strand of RNA (red) forms a stable structure with double-stranded DNA, causing one strand of the DNA to form a loop. R-loops are associated with gene ...
ascopubs.org

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

Foundation AI model uses MRI data to predict multiple brain disorders

Artificial intelligence (AI) systems are computational models that can learn to identify patterns in data, make accurate predictions or generate content (e.g., texts, images, videos or sound ...

(CNW) genOway: Revolutionizing the Prediction of Antibody Therapies in Humans with Unique Mouse Model

Antibody therapies work in part by binding to Fc receptors, proteins found on immune cells that control key immune functions such as antibody-mediated cell killing and inflammation. Since these ...