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Thirunavukkarasu et al. discuss how standard lifestyle interventions prove ineffective in preventing type 2 diabetes in individuals with isolated impaired fasting glucose, a highly prevalent prediabetes phenotype globally. They propose low-calorie diets as a promising strategy for diabetes prevention in this high-risk population.
Zhang et al. discuss how artificial intelligence (AI) can be used to optimize clinical trial design and potentially boost the success rate of clinical trials. AI has unparalleled potential to leverage real-world data and unlock valuable insights for innovative trial design.
Ivancovsky-Wajcman et al. outline the need for a holistic preventive hepatology approach, involving social nutrition and social prescribing, to address the public health threat of metabolic dysfunction-associated steatotic liver disease (MASLD). They argue that this will facilitate individuals’ engagement in behavioural modifications to treat MASLD.
Macharia et al. discuss a Communications Medicine article on global healthcare accessibility and the impact of the COVID-19 pandemic. They outline strengths in the comprehensive approach taken to studying revealed versus potential spatial accessibility, plus some limitations and wider context with which the results can be interpreted.
Pallett et al. discuss the impact of human conflict on development of antimicrobial resistance. They overview approaches to limit the spread of antimicrobial resistance, using the ongoing conflict in Ukraine as an example of the challenges and opportunities.
Kooman outlines the findings of a Communications Medicine article on deep learning-based detection of chronic kidney disease using ECGs. The author interprets the study’s findings in light of its limitations and outlines key considerations in the clinical implementation of such an approach.
Schattenberg et al. outline discussions from a recent workshop on NAFLD care and advocate for a multidisciplinary approach to managing this complex and multifactorial disease. The authors highlight gaps in current models of care and make recommendations on optimising a multistakeholder approach in steatotic liver diseases.
Bayisenge et al. describe teaching One Health approaches to medical students at the University of Global Health Equity in Rwanda. Wider implementation of this approach should enable a better response to the health challenges of our changing planet.
Dastidar et al. discuss how recent policy measures, and favourable technological and infrastructural landscapes are bolstering India’s ability to implement virtual care. These developments were accelerated by the need for an alternative model of care during the COVID-19 lockdowns and may provide a bridge to Universal Healthcare in India.
Hu et al. describe their experiences running a training course for medical students about applying artificial intelligence to medical practice. They also provide recommendations for future training programs.
Sinaki et al. highlight ethnic disparities in the populations of 12 publicly-available pulse oximetry databases. The authors outline the potential consequences of such disparities on pulse oximetry device and algorithm development.
Wen et al. discuss how implementing a 5G network in hospitals can be used to reduce nosocomial infections. Such systems can reduce the spread of COVID-19.
van Dijk et al. discuss the potential for antimicrobial resistance as a consequence of disinfectant use. The authors advocate for the prudent use of disinfectants in all sectors of society.
Bast et al. discuss the early detection of ovarian cancer in the context of the recent UKCTOCS screening trial. The authors suggest potential reasons why the trial failed to achieve a reduction in mortality and outline next steps in the development of biomarkers and imaging modalities to detect ovarian cancer.
Kurtovic et al. highlight some of the recent advances in the development and clinical evaluation of malaria vaccines. The authors outline key vaccine strategies and clinical trials, and discuss priorities for research into the development of an efficacious malaria vaccine.
Vokinger et al. discuss potential sources of bias in machine learning systems used in medicine. The authors propose solutions to mitigate bias across the different stages of model development, from data collection and preparation to model evaluation and application.
Alwan discusses the lessons learnt over the past year regarding Long COVID, prolonged illness resulting from SARS-CoV-2 infection, and their implications for public health policy and disease management, drawing insight form her own lived experience, research, and advocacy work with Long COVID.
Lazarus et al. outline the barriers slowing down the COVID-19 vaccination campaign in Spain. They issue a call to action for all stakeholders to improve access to vaccines, with a particular emphasis on reaching marginalised populations.
Kundu discusses how artificial intelligence will transform medical practice and doctors’ training. The author explores the changing role of the clinician in the doctor-patient relationship, drawing parallels with the role of the pilot in light of increased automation in aviation.
Kurtzhals et al. mark the centenary of the discovery of insulin by looking back at how this model protein has changed science and medicine. They discuss how lessons learned from insulin over the last one hundred years are shaping the present and future of protein-based therapies for chronic disease.
