Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations governing complex and chaotic systems directly from data. The technology, ...

AI test predicts breast cancer recurrence in hours, not weeks, across 3,500 patients

In recent years, notable advances have been made in diagnosing and treating breast cancer. However, its recurrence continues ...
IEEE

Connecting Different Approaches for Cell Cycle Modeling: Learning Ordinary Differential Equations from Individual-Based Models

Abstract: We investigate the feasibility of deriving surrogate ordinary differential equations (ODEs) from individual-based models (IBMs) simulated in the PhysiCell platform. As a preliminary ...
GitHub

Lakehouse Industry Data Models

MVM ≈ 45% of ECM by table count, but retains 50% of attributes and 70% of FK relationships — confirming the MVM keeps the most join-heavy entities while shedding low-traffic reference tables. Install ...
Frontiers

Prognostic model for three-year postoperative local recurrence in cutaneous squamous cell carcinoma: a Chinese multicenter cohort study

Cutaneous squamous cell carcinoma (cSCC) carries a risk of postoperative local recurrence, with nearly 90% of events occurring within 3 years; however, prognostic tools tailored to Asian populations ...
IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...