Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, personalizing treatment plans, and streamlining administrative tasks. At our current stage in technology, AI applications range from predictive analytics and medical imaging to virtual health assistants and drug discovery. Writing about AI in our blog is essential to highlight its transformative impact, address ethical considerations, and guide healthcare professionals in leveraging AI effectively.
Artificial Intelligence
Netron is an open-source multi-platform visualizer and editor for artificial intelligence models. It supports many extensions for deep learning, machine learning and neural network models. Netron is using Electron/ NodeJS and it has a binary application release for Windows, Linux and macOS. Netron is popular among data scientists, The project&
News
A group of scientists from EPFL (École polytechnique fédérale de Lausanne) in Switzerland have developed a deep-learning based motion-capture software that uses multiple camera views to model the movements of a fly (Drosophila melanogaster) in three dimensions. The ultimate aim is to use this knowledge to design fly-like robots. In
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
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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
Analytics
DataMelt, or DMelt, is a free software for numeric computation, mathematics, statistics, symbolic calculations, data analysis and data visualization. The program can be used in many areas, such as natural sciences, engineering, modelling and analysis of financial markets. It combines the simplicity of scripting languages, such as Python, Ruby, Groovy
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
Pathology
Orbit is an open source software package built to empower whole slide images (Virtual slides) processing/analysis with powerful AI models for researchers and pathologists. Orbit is an advanced whole-slide image viewer with advanced image analysis algorithms, built-in machine learning models for tissue quantification, script editor to write, edit models
Open-source
Voice assistants or personal voice assistants are programs using natural language processing (NLP) and speech synthesis to perform certain tasks on the user command. Currently, they have been a major part of our smartphones, computers for the past few years, If you are an iPhone user certainly you are using