New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

CURE SYNGAP1, a 501(c)(3) organization, is proud to announce the award of a $25,000 grant to Dr. Àlex Bayés Puig, Group ...

Joint calibration to the Standard & Poor’s 500 (SPX) and Chicago Board Options Exchange (CBOE) Volatility Index (VIX) market data can be computationally burdensome, especially when the standard course ...

While Palo Alto Networks fell amid the rotation away from tech, the smart money is driving optimism in the options market for ...

Abstract: The article introduces multidimensional Bayesian networks (MBNs), an advanced extension of traditional Bayesian networks (BNs) and object-oriented BNs (OOBNs). OOBNs effectively modularize ...

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial Patients with NSCLC completed ...