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NotifAI-OS (notification artificial intelligence for opportunistic screening) is a conceptual deep learning-based framework that performs automated multi-target analysis of computed tomography examinations through quantitative tissue density and volumetric measurements to enable comprehensive disease screening during routine computed tomography examinations.
We take a look at how scientific articles have evolved over time and envision possible changes to how research findings are communicated in the age of digital media and artificial intelligence.
Engineer and scientist who contributed to the manipulation of single DNA molecules using electric fields, single-cell fusion and innovative integrated electronic microfluidics.
We introduce the Nature Biomedical Engineering editorial team, including our new Chief Editor, and consider what is to come as we move into our tenth year of publishing.
Medical digital twins hold promises for advancing personalized medicine. With the rapid growth of multi-organ and multi-omics biomedical data, artificial intelligence can drive more holistic and integrated medical digital twins for human ageing and disease.
Decentralized yet coordinated networks of specialized artificial intelligence agents, multi-agent systems for healthcare (MASH), that excel in performing tasks in an assistive or autonomous manner within specific clinical and operational domains are likely to become the next paradigm in medical artificial intelligence.
Antigen design and optimization for broader yet targeted immune stimulation, and targeted antigen delivery, are reshaping vaccine development for infectious diseases and cancer.
Advances in base editing and prime editing, coupled with optimized delivery strategies, are enhancing the efficiency, safety and versatility of genome editing for the treatment of a widening range of genetic diseases.
Cas9-based ribonucleoproteins engineered via directed evolution and encapsulated in optimized lipid nanoparticles improve genome-editing efficacies in the livers and lungs of mice.
High-throughput screening led to the identification of artesunate as an antifibrotic agent that targets the glycoprotein myeloid differentiation factor 2 in the infarcted heart.
Naming brain–computer interfaces according to their intended application will assist stakeholders in the evaluation of the benefits and risks of neurotechnologies.
