Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.

Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense promise. Nevertheless, significant challenges must be addressed to avoid harm, promote the well-being of individuals and societies, and ensure ethically sound and socially just technology development. Innovative approaches like Embedded Ethics, which refers to integrating ethics and social science into technology development based on interdisciplinary collaboration, are emerging to address issues of bias, transparency, misrepresentation, and more.

Mechanical force matters in early T cell activation.

Mechanical force has repeatedly been highlighted to be involved in T cell activation. However, the biological significance of mechanical force for T cell receptor signaling remains under active consideration. Here, guided by theoretical analysis, we provide a perspective on how mechanical forces between a T cell and an antigen-presenting cell can influence the bond of a single T cell receptor major histocompatibility complex during early T cell activation.

Quantifying biomolecular organisation in membranes with brightness-transit statistics.

Cells crucially rely on the interactions of biomolecules at their plasma membrane to maintain homeostasis. Yet, a methodology to systematically quantify biomolecular organisation, measuring diffusion dynamics and oligomerisation, represents an unmet need. Here, we introduce the brightness-transit statistics (BTS) method based on fluorescence fluctuation spectroscopy and combine information from brightness and transit times to elucidate biomolecular diffusion and oligomerisation in both cell-free in vitro and in vitro systems incorporating living cells.

Digital endpoints in clinical trials: emerging themes from a multi-stakeholder Knowledge Exchange event.

Background: Digital technologies, such as wearable devices and smartphone applications (apps), can enable the decentralisation of clinical trials by measuring endpoints in people's chosen locations rather than in traditional clinical settings. Digital endpoints can allow high-frequency and sensitive measurements of health outcomes compared to visit-based endpoints which provide an episodic snapshot of a person's health. However, there are underexplored challenges in this emerging space that require interdisciplinary and cross-sector collaboration.

The interrelation of scientific, ethical, and translational challenges for precision medicine with multimodal biomarkers - A qualitative expert interview study in dermatology research.

This qualitative study examines the impact of scientific, ethical, and translational challenges of precision medicine for atopic dermatitis and psoriasis. The study explores how these challenges affect biomarker research for inflammatory skin diseases as identified by stakeholders, including patient board representatives, pharmaceutical industry partners, and postdoctoral and senior researchers from multiple disciplines in biomarker research. We recruited participating experts both within and associated with the international Biomarkers in Atopic Dermatitis and Psoriasis (BIOMAP) consortium to ensure representation of the different organizational units of the consortium.