Researchers have developed a technique that uses machine learning to determine whether a single cell is healthy or cancerous by analysing its pH.
The crappifier takes high-quality images and computationally degrades them, so that they look something like the lowest low-resolution images available.
Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of paediatric brain tumours.
Researchers have found two new mammogram-based measures for breast cancer risk, which could improve the screening process and make it less stressful for women.
Using machine learning, researchers have identified distinct patterns of coordinated activity between different parts of the brain in people with major depressive disorder.
Researchers used field data to 'train' a machine-learning model to detect gamba grass from high-resolution, multispectral satellite imagery.
Image recognition AI has the potential to revolutionise medical diagnostics, yet its current value proposition remains below the expectations of most radiologists.
NeuroInfo software from MBF Bioscience is used for automatically aligning serial sections and mapping brain volumes and cell counts to a standardised reference space.
The human eye is not good at measuring something quantitatively. Despite this, many cell culture processes today still rely on visual observation.
South Korean researchers have developed a deep learning-based artificial intelligence (AI) algorithm that can accurately classify cutaneous skin disorders.
A new algorithm for brain imaging data analysis enables the precise and quantitative mapping of complex neural circuits onto a standardised 3D reference atlas.
Engineers have developed technology that should help industry identify and export high-quality graphene cheaper, faster and more accurately than current methods.
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.