The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
IEEE

Nonlinear Prestack Inversion Method for Fluid Factor Using the Reflectivity Method and PID-Based Search Algorithm

Abstract: Fluid factors play an important role in reservoir fluid identification. Current fluid factor inversion methods rely on the exact Zoeppritz equations and their approximations, which neglect ...
GitHub

Efficient tree-based nonlinear anchor regression and classification for Python.

article{londschien2025, title={Domain Generalization and Adaptation in Intensive Care with Anchor Regression}, author={Londschien, Malte, Burger, Manuel, R{\"a}tsch ...
IEEE

Effective Buried Nonlinear Target Detection Under Faulty Antenna Conditions Using Extended DORT Approach

Abstract: For the detection of buried targets in a dielectric medium, the decomposition of time-reversal operator (DORT) using a multistatic system has been effective in separating multiple targets ...
Frontiers

Editorial: Recent advances in flame retardant polymeric materials and composites

Polymeric materials and their composites have been extensively utilized in critical engineering sectors including construction, transportation, and electronics, etc. However, the safety performance of ...
Forbes

Using Nonlinear Branching Conversations In AI-Enabled Mental Health Chats

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...