Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...

Background: Breast cancer (BC) remains a significant threat to human health, with substantial variations in prognosis and treatment responses. Intra-tumor heterogeneity (ITH) presents a critical ...

aDepartment of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, Uppsala, Sweden bUnit of Clinical Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, ...

aDepartment of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China bWestlake Center for Intelligent ...

Introduction: In occupational epidemiology, accurately quantifying exposure-response relationships is crucial. Methods: We introduce a threshold Cox model that includes a change point term to identify ...

Abstract: This research examines various language models for generating python code that automates complex data manipulation tasks in Excel files, assessing models based on accuracy, speed, and ...

Abstract: This study investigates the dependence between the timing of cataract surgeries in both eyes using a copula-based bivariate Cox regression model. A total of 520 patients with bilateral ...

A powerful new AI predicts how over 1,000 diseases may unfold across a person’s life, opening doors for precision prevention, policy planning, and bias-aware healthcare innovation. Study: Learning the ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer During a median follow-up ...