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A framework for integrating continuous therapeutic monitoring and the development of AI for clinical care may improve patient and health-system outcomes by tightening feedback loops between patient health, clinical interactions and the development of AI models.
Allometric tissue-scale stresses at an implant’s surface trigger pathological foreign-body responses, mediated by the activation of mechanoresponsive myeloid cells, that increase exponentially with body size.
In breast cancer metastasized to bone, the mineralization of collagen regulates integrin-mediated mechanosignalling, inducing a less proliferative phenotype in breast cancer cells.
We revealed that the RNA-targeting activity of the Cas13 family of nucleases allows them to directly target endogenous RNA in mammalian cells. Such activity limits the usage of lentiviral Cas13 systems, and suggests a need for caution when applying Cas13-based systems.
The physical phenotypes of malignant cells in tissue biopsies can be rapidly characterized at high throughput via deformability cytometry after singularizing the cells into a suspension by using a tissue grinder.
An integrated array of sensors can be seamlessly incorporated into a generic earphone, for the simultaneous monitoring of electrophysiological and electrochemical signals.
During radiotherapy, an X-ray dosimeter in the gastrointestinal tract allows for the real-time monitoring of the absolute absorbed radiation dose alongside changes in pH and temperature, as shown in rabbits.
Metrics of cardiovascular health, such as vascular resistance and cardiac output, can be monitored via synchronized sensors for electrocardiography and multispectral photoplethysmography that are placed on the chest and peripherally.
This Perspective discusses progress in the development of robotic capsules for oral drug delivery and the challenges of realizing sophisticated multifunctional robotic pills that can function as closed-loop systems.
Disrupting the CD47–SIRPα checkpoint in tumour macrophages and delivering a tumour-opsonizing monoclonal antibody maximizes the macrophages’ cooperative phagocytic potency.
We functionally assessed clinically observed mutations of the BRCA2 gene and analysed structure–function relationships of variants of the gene by using high-throughput CRISPR-mediated mutagenesis and pooled screening in locally haploid human pluripotent stem cells and in fibroblasts differentiated from them.
We developed OxoScan-MS, a mass spectrometric acquisition technology for high-throughput quantification of glycopeptides. When applied to plasma of patients with COVID-19, OxoScan-MS revealed differential glycosylation in disease-relevant proteins. This approach offers potential for large-scale applications, moving beyond traditional protein abundance measurements to explore glycosylated protein biomarkers.
Fusing the anti-inflammatory enzyme indoleamine 2,3-dioxygenase to the tissue-anchoring protein galectin-3 ameliorates inflammation at the injection site while avoiding systemic immune suppression, as shown in multiple rodent models of inflammation.
Demultiplexing PET–MRI data of solid tumours using machine learning allows the spatial characterization of intratumour tissue heterogeneity in mice and humans. Predicted maps of tissue subtypes within the tumour could aid in conducting image-guided biopsies and provide valuable insights linking the outcome of cancer therapies with phenotypic heterogeneity.
The algorithmic detection of cancer-associated variants can be accelerated by leveraging machine-learning classifiers to filter out reads matched to pan-genome k-mer sets.
Amphiphilic peptides can aid the delivery of CRISPR ribonucleoproteins into primary human lymphocytes at low toxicity, boosting editing yields with respect to the use of electroporation.
