technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Frontiers

Applications of machine learning algorithms to detect digital addiction: a meta-analysis

Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...
IEEE

Hierarchical Clustering Weighted Gaussian Process Regression Low-Fidelity Model and Application in Airfoil Drag Coefficients Prediction

Abstract: Multi-fidelity modeling is a common approach for predicting the drag coefficient of airfoil, offering high accuracy and low computational cost. Low-fidelity data are acquired by simplifying ...
The Lancet

Long-term oncological outcomes following algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection: a post-hoc ...

aDepartment of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St Antonius Hospital Nieuwegein, Utrecht University, Utrecht, Netherlands bDepartment of Medical Oncology, ...
IEEE

AI-Powered Robotic Ultrasound: Electronic Hardware, Algorithms, and Applications

Abstract: Robotic ultrasound powered by Artificial Intelligence (AI) represents a groundbreaking and transformative innovation in the field of medical imaging. By seamlessly automating probe movement ...