This paper defends an ‘opt-out’ scheme for organ procurement, by distinguishing this system from ‘presumed consent’ (which the author regards as an erroneous justification of it). It, first, stresses ...

Fuambai Sia Nyoko Ahmadu, Dina Bader, Janice Boddy, Mamasa Camara, Natasha Carver, Rosie Duivenbode, Brian D Earp, Birgitta Essén, Ellen Gruenbaum, Saida Hodžić, Sara Johnsdotter, Saffron Karlsen, ...

Digital phenotyping is a novel approach to assessing individual health conditions by collecting and analysing data generated through interactions with digital devices. Although digital phenotyping is ...

Ryan and Savulescu recently offered an ethical analysis of the use of semaglutide-based weight-loss drugs such as Ozempic. In this response, we continue the discussion and argue that their framework ...

The integration of artificial intelligence (AI) into pharmaceutical practices raises critical ethical concerns, including algorithmic bias, data commodification and global health inequities. While ...

The forthcoming Enhanced Games , scheduled for May 2026 in Las Vegas, mark a disruptive moment in the history of competitive sports. By institutionalising the use of performance-enhancing drugs under ...

We respond to Gillon’s critique of our data-driven analysis of the history of Journal of Medical Ethics ( JME ), in which we used a topic model to trace intellectual trends in the journal’s first 50 ...

Published recently in this journal, Arima1 argues that the following belief—that physicians do not usually intend diminished consciousness while giving drugs intended to reduce other symptoms such as ...

In their timely and compelling article, Quiñones and Puzio argue that digital twins (DTs) hold potential for empowering trans healthcare by enabling more personalised and inclusive forms of care.1 ...

Stem cell-based embryo models (SCBEMs) offer new ways for studying early human development while circumventing ethical challenges associated with natural embryos. Traditionally, SCBEMs are categorised ...

Warnings that large language models (LLMs) could ‘dehumanise’ medical decision-making often rest on an asymmetrical comparison: the idealised, attentive healthcare provider versus a clumsy, ...