Editorials

Clinical implementations of machine learning that are accurate, robust and interpretable will eventually gain the trust of healthcare providers and patients.

Cancer therapies that target multiple biological pathways take advantage of synergistic killing, and decrease the risk of relapse.

Modelling diseases of the central and peripheral nervous systems and effectively treating neurological disorders via neuronal manipulation requires far better biomaterials and technology than are currently available.

For cell therapies to transition from promises to products, increased efforts need to be put into the identification of the factors and biological mechanisms that affect safety and efficacy, and into the design of cost-effective methods for the harvesting, expansion, manipulation and purification of the cells.

When designing translationally relevant delivery strategies to overcome the physicochemical and biological barriers to getting therapeutics into the right tissues and cells, building on tried-and-tested concepts often pays off.

Accurate diagnostics need technology — from imaging hardware and image reconstruction to machine learning — to detect markers associated with the cause of disease.

Artificial intelligence may eventually help diagnose eye conditions and the risk of cardiovascular disease, solely from retinal images.

The communication of research findings, in both written and oral forms, would benefit from concepts used in cinematographic storytelling.

The translational achievements, commercialization prospects and eventual clinical and societal impacts of biomedical work accrue over a long time. They should be better captured and publicized.

The optimization and diversification of methods for manipulating the genome will enable new therapeutic solutions.

When reading or writing about biomedical findings, be mindful of factual accuracy and wary of unapparent caveats.

When comparing journals using citation-based metrics, the percentage of highly cited papers is more informative than the average number of citations.

The design of implantable biomaterials with lasting function is rooted in biomolecular and cellular principles.

We encourage our authors to display data points in graphs, and to deposit the data in repositories.

The early detection of cancer demands translatable light-emitting or light-collecting probes with unprecedented levels of sensitivity and specificity.

Advances in materials science and engineering enable ever-smaller and more reliable bioelectronic devices.

The accelerating diagnostic power of deep learning will soon empower physicians.