Unequal access to reprogenetic cognitive enhancement due to consistently high costs

By Alexis Heng Boon Chin and Sayyed Mohamed Muhsin. A survey study by Haining et al. reported a significantly higher approval rating of human cognitive enhancement with reprogenetic technologies such as polygenic embryo screening and germline gene editing among Singaporean versus American respondents. The intensely competitive educational landscape in East Asian Confucian societies such as Singapore is […]

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Developing a practical resource to improve the ethical standing of gene therapy trials

By Rosie Munday, Hugh Davies and Stephanie Jones with Oxford “A” Health Research Authority Research Ethics Committee Oxford “A” NHS REC is one of the four UK Research Ethics Committees flagged to review gene therapy proposals. Following the philosopher Mary Warnock’s sage advice “I do not believe you can make moral judgements unless, as far […]

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Medical assistance in dying—is there a case for including persons with mental illness?

By Nicholas Delva, Anees Bahji Over the last couple of decades, medical assistance in dying (MAiD) has become legal in a few developed countries. Developments in this area have been primarily driven by patients, with general support from the population. Governments have been cautious in the development of legislation, which is not surprising given that […]

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The carbon emissions of prescribing practices

By Cristina Richie. Health care has a carbon footprint, which contributes to climate change and climate change health hazards, like severe weather, flooding, tornadoes, drought, and anxiety. Carbon emissions come from health care structures and health care activities. Health care structures like hospitals and clinics rely on high-carbon use building materials, heat and cooling, water […]

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Call for papers: Operationalising Fairness in Medical Algorithms

From the BMJ Health & Care Informatics: This special issue aims to bring together the growing community of healthcare practitioners, social scientists, policymakers, engineers and computer scientists to design and discuss practical solutions to address algorithmic fairness and accountability. We are inviting papers that explore ways to reduce machine bias in healthcare or create algorithms that […]

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