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Incorporating membrane-destabilizing zwitterionic lipids into commercially available LNPs boosts mRNA expression in antigen-presenting cells within lymph nodes, enhancing cytotoxic T cell activation, and dampens reactogenicity in mice.
An engager with a predictable ability to overcome the tumoural immunosuppressive environment by promoting myeloid–tumour cell and tumour cell–T cell interactions.
A trispecific T cell engager has been developed to redirect bystander T cells, overcoming immunosuppression and enhancing antitumour immunity across multiple solid tumour types, alongside a machine learning-based tool to predict its efficacy.
A hidden Markov model that uses probabilistic retrospective inference allows for up to one month of unsupervised recalibration in an online cursor-based intracortical brain–machine interface.
A tumour-selective chemical method enables the precise assembly of therapeutic molecules directly inside tumours, leading to selective clearance of pathogenic proteins or potent T cell activation and strong tumour regression in mice while avoiding harmful systemic side effects. This approach provides a versatile strategy for controlled proximity-mediated cancer treatments.
A tumour-enriched amino acid mimic uncages a chemical tag that triggers selective in vivo ligation, enabling precise assembly of proteolysis-targeting chimeras and immune nanoparticles for targeted cancer therapy.
Mendelian randomization is used to evaluate genetic associations between multi-organ imaging traits and clinical outcomes, showing genetic links between organ systems in a variety of diseases.
An integrated surface-enhanced Raman scattering navigation instrument allows the intraoperative classification of malignant-grade prostate tumours by simultaneously assessing tissue acidity and prostate-specific antigen enzymatic activity.
A key aspect of biomedical advancement is improving over the state of the art. We provide guidance on our expectations for benchmarking at Nature Biomedical Engineering and encourage authors to think ahead about including crucial comparative experiments.
Tagging tumour cells with microbial antigens using a tumour-specific replicating virus activates memory T cells for treating solid tumours in mouse models.
This Review discusses how continuous monitoring technologies can enable early symptom detection, disease recurrence tracking and treatment response assessment, and how these technologies are being integrated into clinical practice.
A multimodal pretrained transformer uses 154,274 pairs of chest CT scans and their corresponding reports and is applied to diverse clinical tasks with multimodal data.
scTranslator is a large-scale generative model that translates single-cell transcriptomic data to proteomic data and can assess the impact of gene perturbation on protein levels.
An engineered microenvironment for blood vessel organoid development facilitates vascular reconstruction and stimulates neurogenesis in ischaemic brain regions of mice after stroke.