AI ethics on Tuesday, 20 January 2026

Digital media, including television, the internet, social media, video games, and interactive assistants, form the digital ecosystem. When this digital ecosystem is designed with children's unique developmental needs in mind, it can support learning and well-being. In contrast, digital ecosystems that prioritize engagement and commercialization often encourage prolonged use, which in turn can displace healthy behaviors (eg, movement behaviors, sleep), and contribute to negative outcomes. This po

Purpose: The purpose of this research case study is to argue that the structured path of devotion and virtues outlined in the Twelfth Chapter of the Bhagavad Gita provide a universal framework for cultivating ethical individuals. It aims to demonstrate how this framework serves as a powerful tool for addressing modern societal challenges such as polarization and ethical apathy. Ultimately, the study seeks to guide the development of a conscious, compassionate, and harmonious global society throu

ABSTRACT As an emerging branch of clinical medicine, microbiota medicine has attracted worldwide attention from clinicians, medical educators, patient communities, and industry. However, this developing field still lacks consensus on its fundamental principles as well as guidelines for clinical and educational practice. An expert panel was convened by the journal Microbiota Medicine Research at the 2025 CHINAGUT Conference to develop the principles and practice guidelines of microbiota medicine

Introduction: The European Health Data Space (EHDS), the European Union's new regulatory framework for health data use and reuse, will have important implications for citizens across the Union. While the regulation aims to empower citizens in the primary use of their health data-such as by giving them access to their electronic health records-their role in the secondary use of health data remains less clearly defined. Methods: To explore this, we interviewed health data experts across 23 Europea

Sepsis is a major global health crisis where early recognition and effective management remain significant challenges for healthcare systems. As part of the Lausanne University Hospital sepsis quality of care program, we developed and validated an Artificial Intelligence (AI)-powered Sepsis Learning Health System (SLHS) to enhance sepsis care. The SLHS combines a standardized clinical pathway with HERACLES, an AI algorithm that retrospectively classifies patient data into confirmed, possible, or