Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.
Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Background PD-1 blockade has emerged as a promising approach for functional cure of chronic hepatitis B (CHB). Objective This study aimed to evaluate the safety profile of anti-PD-1 antibody (αPD-1), ...
The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering ...
Delayed consultation represents a major barrier to effective stroke management in Pointe-Noire. It is associated with ...
The objective of this study was to identify and evaluate the variables responsible for contributing to possible natural and/or human contamination in groundwater of the semiarid region of the state of ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
Researchers have identified specific coupled patterns of brain activity and gene expression that help explain impulsive ...
Castle Biosciences, Inc. (Nasdaq: CSTL), a company improving health through innovative tests that guide patient care, today ...
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