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A deep learning model trained on raw pixel data in hundreds of thousands of echocardiographic videos for the prediction of one-year all-cause mortality outperforms clinical scores and improves predictions by cardiologists.
Input–output models can predict multiregional brain network dynamics in response to temporally varying patterns of ongoing direct electrical stimulation, with variabilities in prediction accuracy explained by at-rest functional connectivity.
A neuroprosthetic interface comprising a muscle actuator coupled to a natively pedicled skin flap in a cuff-like architecture elicits graded contact and vibratory afferent signals analogous to those elicited by mechanical stimulation of intact skin.
The adsorption of coagulation factors on microspheres placed within extracorporeal blood-purification devices allows for transient blood thinning and faster recovery of haemostasis.
Cytidine base editors delivered to the liver of mice with phenylketonuria via adeno-associated viruses or lipid nanoparticles do not lead to detectable off-target edits in the RNA and DNA of hepatocytes.
A microneedle patch that samples and quantifies target protein biomarkers in interstitial fluid allows for longitudinal monitoring of the levels of a range of disease-relevant biomarkers, as shown in live mice.
Human mesenchymal stem cells can be mechanically and pharmacologically conditioned to enhance vascular regeneration in vivo, as shown in mice with hindlimb ischaemia.
Mimicking the molecular architecture of channel-forming membrane proteins of a target microbe can be used to design host defence peptides that specifically target a particular pathogen, as shown here for Mycobacterium tuberculosis.
Lentiviruses co-packaging SpCas9 mRNA and an expression cassette encoding for a guide RNA targeting the Vegfa gene prevent mice from developing wet age-related macular degeneration induced by Vegfa. [Summary amended to correct the description of the packaged cargo.]
A mathematical model of the time course of tumour responses to immunotherapy predicts tumour burden and treatment sensitivity across cancer types and drug combinations.
A bead-based fluorescence sandwich immunoassay implemented in a custom microfluidic chip can continuously measure glucose and insulin with picomolar sensitivity and sub-second resolution.
The stiffness of the extracellular matrix of gastric tumours reversibly regulates DNA methylation of the promoter region of the oncogenic Yes-associated protein.
A portable device integrating reverse transcription, fast thermocycling and in situ fluorescence detection accurately detects SARS-CoV-2 RNA in patient samples in 17 min.
Patches of transdermal core–shell microneedles, fabricated via additive manufacturing of polymer shells with varying degradability kinetics, enable the preprogrammed burst release of vaccine payloads over a period of a few days to more than a month.
A portable prototype scanner for brain MRI that uses a compact and lightweight permanent rare-earth magnet with a built-in readout field gradient generates clinically relevant images of the brain, as shown in adult volunteers.
An open resource comprising chest computed tomography images and 130 clinical features of 1,521 patients with pneumonia, including COVID-19 pneumonia, facilitates the prediction of morbidity and mortality outcomes via deep learning.
Analysis of physiological and activity data from consumer smartwatches enables real-time detection, often before symptom onset, of COVID-19, as well as other respiratory illnesses and stress inducers.
The systemic administration of erythrocytes with chemokine-encapsulating nanoparticles non-covalently anchored to their surface results in local and systemic tumour suppression in mouse models of lung metastasis.