Scientific Research Publishing

Construction of a Risk Prediction Model for Diabetic Nephropathy Based on the Urinary Microalbumin-to-Creatinine Ratio and Blood Markers ()

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 ...
CURE

Real-World ADC Data Support Use in More Diverse Patients

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

Risk Score Demonstrates Strong Predictive Ability in Hematogenous Spinal Osteomyelitis

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

Confluent Intelligence Expands Real-Time Business Data To Enterprise AI

Confluent Intelligence Expands Real-Time Business Data To Enterprise AI. Support for the Agent2Agent protocol helps connect AI agents anywhere in real time so they can collaborate at enterprise scale ...
The New York Times

Meta Unveils New A.I. Model, Its First From the Superintelligence Lab

The model, Muse Spark, performed better than Meta’s previous A.I. models but lags rivals on coding ability. By Eli Tan Reporting from San Francisco Meta on Wednesday unveiled a new flagship artificial ...
eLife

The Multivariate SEM-PGS Model: Using Polygenic Scores to Investigate Cross-Trait Genetic Nurture and Assortative Mating

This valuable study introduces a model to help researchers understand how multivariate processes affect observed relationships in genetic data. The authors provide a tool to estimate model parameters.
Scientific Research Publishing

Joe, H. (1997) Multivariate Models and Multivariate Dependence Concepts. CRC Press.

ABSTRACT: The global financial landscape is increasingly becoming interconnected, with financial markets exhibiting complex interdependencies. This increases the possibility of market risk spreading ...
IEEE

Multivariate Models for Photovoltaic Power Forecasting with Non-climatic Exogenous Variables

Abstract: Forecasting electricity generation from renewable resources is crucial for the efficient planning and operation of power systems. The development of forecasting models based on local ...