Editorials

Leverage curiosity, open-mindedness and the deliberate seeking of feedback.

Leveraging or improving established technology for clinical imaging to extract additional physiological information can enhance the quality of the subsequent assessments and widen the technology’s uses.

Established reasoning behind yearly changes in impact factors is mostly flawed.

The development of machine-learning systems for safer, robust and fairer outcomes should leverage fine-tuning, generalization, explainability and metrics of uncertainty.

The continuing optimization of the safety and applicability of CRISPR for ex vivo genome editing will broaden the prospects of cell therapies.

Bionic hands exemplify the challenges of developing neuroprostheses that can be embodied.

New strategies for enhancing the sensitivity and resolution of contrast in magnetic resonance imaging will broaden its applicability.

The consequences of their use will be far reaching.

At first glance, some research articles published in the journal may appear to lack substantial novelty.

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.