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This focus issue highlights the accelerating power of machine learning (Editorial) in diagnosing rare disease (Article, News & Views), classifying brain tumours (Article, News & Views), and categorizing the activity of spinal motor neurons (Article, News & Views).
The cover illustrates the concept of a cloud-based multihospital collaboration platform powered by artificial intelligence (Article, News & Views).
Platelets delivering the immunotherapeutic antibody anti-PD-L1 to the site of surgically removed tumours reduce cancer recurrence and metastatic spread in mice.
Stimulated Raman spectroscopy combined with machine learning generates histological images for the rapid diagnosis and classification of brain tumours.
Drawing from recent successes in cancer immunotherapy, this Perspective discusses that effective cancer-nanomedicine therapies can be designed to prime antitumour immunity far from the site of disease.
By targeting the surgical bed and circulating tumour cells, platelets conjugated with an antibody against an immune checkpoint protein prevent tumour recurrence and metastasis following resection of the primary tumour.
An artificial intelligence agent integrated with a cloud-based platform for multihospital collaboration performs equally as well as ophthalmologists in the diagnosis of congenital cataracts in a series of online tests and a multihospital clinical trial.
A man/machine interface based on the activity of spinal motor neurons reinnervating the muscles of a missing limb in amputees enables the generation of neural signals for potential prosthetic control.
By taking advantage of stimulated Raman spectroscopy and fibre-laser technology, virtual histology images can be obtained in real time in the operating room, with diagnostic quality comparable with that achieved via conventional histopathology.
A scanning fibre endoscope, combining reflectance and laser-induced fluorescence emission of intrinsic fluorescent constituents in vascular tissue, provides real-time structural, biochemical and biological images of human atherosclerotic plaques.
A light-scattering method implemented by using fibre-optic technology that can be directly incorporated into standard vascular-access devices allows for real-time monitoring of blood coagulability in the operating room.