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A humanized biomaterial microenvironment that mimics the pre-metastatic niche captures disseminated tumour cells and recapitulates metastatic progression after implantation in xenografted mice.
Coating continuous glucose-monitoring sensors with zwitterionic polymer reduces early inflammatory responses and signal noise after sensor implantation in live animals, and improves the performance of the sensors without the need for additional recalibration.
Minimally invasive intravascular electrodes chronically implanted via the superior sagittal sinus can stimulate the motor cortex of sheep, and elicit muscular activity.
A tissue-engineered scale model of the human ventricle made of nanofibrous scaffolds and human-stem-cell-derived cardiomyocytes enables the modelling of arrhythmia.
Co-cultures of muscle cells and optogenetic motor neurons derived from patient-specific human stem cells make a physiologically relevant model of amyotrophic lateral sclerosis.
A machine-learning algorithm reliably predicts Cas9-edited genotypes arising from the repair of DNA double-strand breaks in mouse cells and human cells.
The coupling of blood platelets bearing anti-programmed cell death protein 1 antibodies to haematopoietic stem cells enables delivery of checkpoint-blockade therapy to bone marrow to promote T-cell-mediated control of leukaemia in mice.
Widespread editing of the mutated DMD gene by CRISPR–Cas9, systemically delivered via an adeno-associated virus, restores dystrophin expression in a canine model of Duchenne muscular dystrophy.
Transplanting allogeneic pancreatic islets intraperitoneally by first encapsulating the islets within an alginate-based formulation results in reduced fibrosis and capsule clumping, and thus in improved islet survival.
This Perspective discusses the importance of proper study design in preclinical studies in nanomedicine and cell therapy to improve reproducibility and the likelihood of clinical translation.
Computational modelling, informed by data from 3D volumetric imaging of transparent and intact whole-tumour samples, predicts blood flow and the spatial distribution of drug uptake in tumours.
A deep-learning algorithm enables the real-time video-based recognition of polyps during colonoscopy, with sensitivities and specificities surpassing 90%.
A computational model of the heart that finds the optimal ablation sites to treat infarct-related ventricular tachycardia eliminates the need for invasive electrical mapping.
A holographic approach relying on small-molecule chromogens enables a rapid and inexpensive test for the accurate classification of aggressive lymphoma at the point of care.
A clinical study shows the feasibility and safety of the intratumoral release of an anticancer drug encapsulated in thermosensitive liposomes by heating the patient’s tumour via focused ultrasound.
A lunchbox-sized device for nucleic acid quantification that can be powered by sunlight, a flame or electricity enables the diagnosis of disease in settings with unreliable power supply.
