Learn how hyper-personalization in retail works, why IT leaders must build real-time, data-driven systems, and how to implement scalable architectures with measurable outcomes.

ABSTRACT: Background: Propensity score methods have become a cornerstone of modern causal inference, enabling researchers to approximate the conditions of randomized experiments in observational ...

ABSTRACT: This study provides comprehensive evidence on wage differentials between native-born workers and immigrants in the United States using advanced econometric techniques and rich microdata from ...

A panelist discusses how a large propensity score–matched analysis of 1300 patients aged 60-75 found similar all-cause mortality between intensive chemotherapy and azacitidine plus venetoclax, but ...

Analysis of readmission rates, length of stay and mortality among bone marrow transplant and CAR-T patients in a rural state. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...

Introduction Telemedicine use has risen significantly since the COVID-19 pandemic. Evidence suggests that the quality of care in telemedicine could be as good as in-person care, but this is likely ...

Angelina Jolie has taken on several iconic roles over the years, including Maleficent, Lara Croft, and more recently, Thena in Eternals. Her latest challenge comes from taking on the role of Maria ...

Benign prostatic hyperplasia (BPH) is a highly prevalent condition that impacts nearly 80% of men over the age of 70, leading to lower urinary tract symptoms (LUTS) and significantly affecting their ...

Abstract: Existing machine learning methods for retail product sales forecasting often rely on their own time series data and tend to ignore the correlation between the target retail product and other ...