Elsevier,
Patterns, Volume 4, Issue 7, 2023, 100790, ISSN 2666-3899,
This Perspective explores the sources of bias in medical machine learning, and how these can contribute to unequal performance, for example for women. The authors discuss methods for mitigating bias, hopefully leading to more equitable use of machine learning in healthcare.
Elsevier,
The Lancet, Volume 402, 1 July 2023
This Health Policy paper supports SDG 3, 15, and 16 by highlighting how climate change and other human-induced environmental changes, such as loss of biodiversity and air pollution, disproportionately affect the health of minoritised people globally.
Elsevier,
Kidney International, Volume 104, July 2023
Water is a dwindling natural resource, and potable water is wrongly considered an unlimited resource. This review seeks to support policymakers in making informed decisions about water use, avoiding wasting, and finding solutions that may be planet friendly and patient friendly in dialysis, especially in hemodialysis treatments.