Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
A suite of TadA-derived cytosine base editors was optimized to improve efficiency, reduce sequence bias, expand PAM compatibility and minimize artefacts, enabling precise genetic interrogation of variants of uncertain significance (VUS) in zebrafish.
A disc device integrating chromatography, centripetal liquid transfer and bead-based vesicle capture enables extracellular vesicle isolation and labelling, achieving high accuracy in cancer detection and tumour classification.
Limited human data, needed to train artificial intelligence (AI) models, has constrained the development of hyperspectral imaging (HSI) for surgical applications. We developed xeno-learning, an AI method that harnesses shared biological responses found across species, allowing experimental data from animals to be used in training AI models for HSI applications in humans.
A soft robotic probe enables continuous in utero monitoring of fetal physiological parameters, including heart rate, blood oxygen saturation, temperature and electrocardiogram data, during open or fetoscopic surgery to provide real-time information on fetal condition and distress.
Xeno-learning uses preclinical data from one species to boost the performance of neural networks applied to another species when exploring physiological responses.
In vitro models using tissue-specific progenitors recapitulate the lumen with gland-like structures and functional characteristics of the human stomach epithelium in a patient-specific disease model.
It is an exciting time for biomedical engineering, with advances rapidly reshaping the forefront of translational research and medicine. Here we highlight some areas and technologies that we are particularly excited about for the coming years.
AI is a powerful tool for facilitating data science programming in biomedicine. This study benchmarks the performance of existing tools and introduces a reliable AI agent copilot.
A platform using matched patient-derived lung tumouroids and healthy lung organoids enables accurate examination of patient responses to CAR T therapy and offers a faithful framework for improved CAR T design.
A self-powered symbiotic transcatheter pacemaker that regenerates energy via electromagnetic induction from the cardiac motion demonstrates a month-long operation in a porcine model of arrhythmia and surpasses the critical energy condition for lifelong service.
Fast panoramic rotational ultrasound tomography and photoacoustic tomography are integrated for hybrid rotational ultrasound and photoacoustic tomography, for three-dimensional dual-contrast imaging of soft tissue and vasculature across the human body.
Intracortical microstimulation can elicit artificial sensations in persons who have lost sensation due to neurological injury or disease. This Review discusses intracortical microstimulation mechanisms, explores emerging approaches and notes challenges to current technologies.
Sonomate is a digital assistant for ultrasound examinations, supporting users through feedback, anatomical recognition and interactive question answering.
Intermittent hypobaric pressure extends the lifespan and rescues the osteoporosis phenotype in aged mice by activating the ion channel transmembrane protein 59 (TMEM59) and eliminating senescent cells via lysosome-dependent cell death.