This Review discusses the characteristics of neural probes that are most likely to facilitate the clinical translation of invasive neural interfaces, the abiotic and biotic factors that contribute to their failure and emerging neural-interface architectures.

This Perspective argues that dermal interstitial fluid cannot be generally considered a diagnostically useful proxy for blood, yet that it can offer advantageous utility for the monitoring of therapeutic drugs and of the status of the immune system.

This Perspective overviews the sources of prediction uncertainty in machine learning for applications in healthcare, and discusses how to implement suitable prediction-uncertainty metrics.

This Review highlights technological advances in exoskeleton technology from the past two decades, and challenges and opportunities in the exoskeleton-assisted rehabilitation of gait.

A nanoparticle integrating a fusion protein of apolipoprotein A1 and interleukin-4 and that targets myeloid-cell-rich haematopoietic organs resolves immunoparalysis in ex vivo and in vivo models of sepsis.

T cells with a chimaeric antigen receptor specific for fluorescein isothiocyanate can be directed against solid tumours via the intratumoural administration of a fluorescein isothiocyanate-conjugated amphiphile that inserts itself in cell membranes.

A representation-learning strategy for machine-learning models applied to medical-imaging tasks improves model robustness and training efficiency and mitigates suboptimal out-of-distribution performance.

Intratumoural heterogeneity can be characterized spatially in patients with liver metastases from colorectal cancer via phenotype-specific multi-view learning models trained with PET–MRI data from mice with subcutaneous colon tumours.

An assay leveraging the target-specific splinted ligation of DNA probes to generate expression cassettes for the cell-free synthesis of reporter proteins accurately detects nucleic acids at ambient temperature.

A high-throughput method leveraging peptide-encoding mRNA barcodes for the in vivo screening of libraries of nanoparticle formulations allows for the rapid optimization of a lipid nanoparticle for the delivery of mRNA to the liver.

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.