Objectives Rising patient numbers and limited resources are creating a challenging environment for healthcare providers recently. Anaesthesiologists are also increasingly faced with complex situations ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...

One ball on a Plinko board is unpredictable. Drop a thousand and they form a near-perfect bell curve—one of math’s most powerful ideas for 150+ years.

Introduction Dyspnoea is an existentially burdensome symptom in patients with advanced and progressive diseases such as cancer, chronic obstructive pulmonary disease (COPD) and advanced heart failure.

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

BACKGROUND: Forecasts for the future prevalence of cardiovascular disease and stroke are crucial to guide efforts to improve health outcomes across the life course for women. METHODS: Using historical ...

Introduction Cigarette companies have stated their intent to transition from selling cigarettes to selling less harmful products, such as e-cigarettes. We examine trends in US cigarette marketing ...

This study provides important insights into how working memory shapes perceptual decisions, using a dual-task design, continuous mouse tracking, and hierarchical Bayesian modeling. By dissociating ...