News
The increasing prevalence of antibiotic-resistant bacteria is a growing problem around the world. Every year, millions of people are infected with drug-resistant pathogens, and a lot of people die from pneumonia or bloodstream infections. In recent years, researchers have been working to make use of genome sequencing to identify antibiotic-resistant
News
IBM Research lab in Zurich Open-Sourced three AI Projects to help accelerate cancer research. The first project named PaccMann (Prediction of anticancer compound sensitivity with Multi-modal attention-based neural networks), is a multimodal deep learning solution that uses data from disparate sources to help predict how cells in diseased tissue will
News
Radiation Therapy is a widely used treatment modality for many types of cancer, but it has potential adverse effects to healthy surrounding organs. So, accurately identifying all Organs at Risk (OARs) is a very important step in Radiation Therapy Planning. However, manually doing so is time consuming and error-prone. A
Machine Learning
WEKA (Waikato Environment for Knowledge Analysis) is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. It also supports Deep Learning. It is written in Java and developed at the University of Waikato, New Zealand.
Pathology
Cytomine is a web-based open source solution, aiming to empower whole-slide image processing, & analysis with machine learning algorithms. It's built to ease collaboration among researchers. Cytomine is built by a group of researchers from Montefiore Institute (University of Liège, Belgium) who are developing machine learning algorithms and