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The spatial distribution and placement of antigens in nanoparticle-based cancer vaccines can substantially affect antigen processing, cytokine production, the induction of immune memory and tumour growth.
We developed an at-home microsampling approach that measures thousands of metabolites, lipids and proteins in small volumes of blood. Dense multi-omic sampling generates a ‘molecular movie’ that integrates with data from wearables to reveal new insights into the dynamics of human physiology.
Dense multi-omics microsampling for the frequent capture and analysis of thousands of molecules in blood alongside physiological information from wearables facilitates the profiling of lifestyle-associated changes in an individual’s health.
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 Review discusses requirements—in cell sources, functional and safety testing, manufacturing and storage, and clinical-trial design—for the clinical advancement of cell therapies for Parkinson’s disease.
Extracellular vesicles encapsulating mRNA encoding for extracellular-matrix collagen and delivered intradermally via microneedles led to the replacement of collagen in the dermis of mice with photoaged skin.
A machine-learning pipeline that mines the entire space of polypeptide-chain sequences can identify potent antimicrobial peptides by integrating tasks that gradually narrow down the search space.
An extracellular matrix biomaterial delivered into the bloodstream selectively binds to blood vessels in inflamed tissues, such as those caused by myocardial infarction and traumatic brain injury. The biomaterial dampened the inflammatory response and promoted tissue repair and regeneration when tested in rat and pig models of myocardial infarction.
Intravascularly infused extracellular matrix from ventricular myocardium binds to leaky vasculature and induces the regeneration of inflamed heart tissue, as shown in rats and pigs.
This Perspective overviews the sources of prediction uncertainty in machine learning for applications in healthcare, and discusses how to implement suitable prediction-uncertainty metrics.
Antitumour responses mediated by T helper 17 cells can be induced by intratumourally injected hollow nanoparticles displaying the polysaccharide mannan.
Graph neural networks and transformers taking advantage of contextual information and large unannotated multimodal datasets are redefining what is possible in computational medicine.
Each of the 13 protein-coding genes in the mouse mitochondrial genome can be ablated using a library of optimized double-stranded-DNA deaminase-derived cytosine base editors.
Intra-tumourally injected hollow nanoparticles displaying the polysaccharide mannan downregulate the fraction of regulatory T cells in the tumour microenvironment and induce anti-tumour responses mediated by T helper 17 cells.
A deep-learning model that transforms cryosectioned whole-slide tissue images into the style of whole-slide formalin-fixed and paraffin-embedded tissue improves the rates of accurate tumour subtyping.
The targeted delivery of the short-chain fatty acid butyrate to the lower gastrointestinal tract by polymeric nanoscale micelles restores intestinal homeostasis in mouse models of peanut allergy and colitis.
Liposomal nanoparticles incorporating photosensitive lipids and enclosing paramagnetic molecules enable the mapping, via magnetic resonance imaging, of spatial variations of light intensity in illuminated brain tissue in living animals.