Editorials in 2022

Graph neural networks and transformers taking advantage of contextual information and large unannotated multimodal datasets are redefining what is possible in computational medicine.

Everyone benefits from the filters for rigour, excellence and trust that scholarly journals should provide.

Succinctly convey the study’s context, emphases, implications and limitations.

Research manuscripts and the associated scientific data generated for projects that are funded by federal agencies in the United States will need to be made publicly available immediately on publication.

Designing viral diagnostic tests for point-of-care use involves many trade-offs. Yet ease of use, low cost and accuracy shouldn’t be compromised.

Rejections are unwelcome. We seek to make them easier to understand.

By allowing for the visualization of living tissue faster, at higher contrast or with larger fields of view, imaging modalities widely used in research are making inroads into the detection of disease in the human body.

Better cell sourcing and increasingly fine control over cell differentiation, tissue formation and cell and tissue maturation are pushing forward progress in disease modelling, drug development and regenerative medicine.

Lessons being learned about the utility of COVID-19 diagnostics are informing the design, required real-world performance and deployment needs of technologies for the detection of infectious diseases.

Deliberate practice will, however, get you further.

The growth of citations to published content typically follows an S-shaped curve. We look back at the fairly homogeneous citation-growth patterns — and at the few exceptions to them — for the content that we published in 2017.