Based on this, this study retrospectively analyzes the clinical testing data of patients with diabetic nephropathy and those with simple diabetes mellitus to investigate the predictive value of ...

Real-world data show ADCs benefit more diverse, older and pretreated patients, helping guide care and build confidence beyond ...

Poster findings presented at AAPM PainConnect 2026 showed that age, comorbidities, and preantibiotic use predicted outcomes in hematogenous spinal osteomyelitis.

This study aimed to evaluate if clinical outcomes of MG after thymoma resection were associated with the presence of ectopic ...

Researchers used GBD data, MR, and a hospital-based survey to investigate the potential relationship between fruit intake and lung cancer risk.

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

This week highlights advances in food authenticity research, AI applications in analytical chemistry, REIMS for pork classification, improved GC×GC sensitivity, and greener SFC workflows.

Abstract: Functional data have been gaining increasing popularity in the field of time series analysis. However, so far modeling heterogeneous multivariate functional time series remains a research ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The extensive diversity of tea, resulting from varietal traits and manufacturing ...

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...