An advanced medical report generation method, based on AI technology, has been shown to accurately read lung CT images and help diagnose COVID-19 cases.
Nanostructured layers boast countless potential properties — but how can the most suitable one be identified without any long-term experiments?
Optical engineers and biochemists have developed a bio-optics device that enables biologists to create 3D views of clots on a microscopic scale as the clots form.
Sydney start-ups DetectED-X and LENS Immersive have each launched tools designed to take the pressure off clinicians and hospitals that have been inundated with COVID-19.
Machine learning software called TEXLab forecasts the survival rates and response to various treatments for each individual patient.
Bitplane Imaris 9.5 is a software solution for correlative microscopy, enabling the possibility of opening multiple 2D, 3D or 4D datasets of differing spatial and temporal resolutions in the same scene.
Researchers have managed to make intact human organs transparent, and subsequently used microscopic imaging to reveal the underlying complex structures of these organs at the cellular level.
AI has identified features relevant to cancer prognosis that were not previously noted by pathologists, leading to a higher accuracy of prostate cancer recurrence.
Patients with neurological disorders, who may have impaired movement, could in future have their conditions assessed remotely rather than needing to meet with a doctor face to face.
Imaging the brain's activity in various states is important to get a more accurate picture of how depression manifests in a particular patient.
Thermo Scientific Avizo2D is an AI-powered automated imaging and analysis software designed to help materials and life science researchers acquire fast statistics from their electron microscopy (EM) images without extensive image processing expertise.
Bitplane's Imaris 9.3 is a software solution for correlative microscopy, enabling the possibility of opening multiple 2D, 3D or 4D datasets of differing spatial and temporal resolutions in the same scene.
Faced with increasing demand for histopathology services in a vast but sparsely populated area in Australia, Sullivan Nicolaides Pathology was looking to increase its workflow efficiency.
An international challenge compared the diagnostic skills of 511 physicians with 139 computer algorithms from 77 different machine learnings labs.
German researchers are currently involved in an interdisciplinary and multi-institutional project aimed at making automated diagnoses from a software program more transparent.