Drug repurposing is an effective strategy to identify new uses for existing drugs. Ohio State University researchers have now created […]
Researchers have developed a deep learning network architecture that achieves fully automated radiologist-level segmentation of breast tumours in MRI. Segmentation […]
Researchers have used flow cytometry and deep learning to characterise red blood cell lesions in order to objectively predict blood […]
A recent study has explored the role of deep learning as a tool for rapid mutational screening in melanoma. Detecting […]
A team of researchers have developed and validated a deep learning algorithm for detecting coronary artery disease (CAD) based on […]
As genomic sequencing becomes more routine, handling the sheer volume of data being produced is causing major issues. We must […]
Genetic and epigenetic changes underpin the development of a plethora of biological conditions that can be acquired over the course […]
Early and accurate diagnosis of Alzheimer’s remains the most effective way of reducing the burden of the disease, which is […]
Researchers have proposed a new mechanism – DeepCE – driven by deep learning, that provides a robust predictive model for […]
A recent study, published as a preprint in bioRxiv, presents a new machine learning framework – MethylationToActivity. This framework uses […]
