Definiens is the leader in automated image analysis for life sciences and digital pathology. Our mission is to enable researchers and pathologists to discover and deliver new ways to impact science and healthcare by harnessing the power of our unique Cognition Network Technology®. We are headquartered in Munich, Germany with a North American office in Carlsbad, California.
Definiens has introduced its Tissue Studio 2.0, the latest version of the companys image analysis software for digital pathology and biomarker translational research
Definiens has launched version 2.0 of its LymphExpert software, a software application that assists radiology professionals in the identification, analysis and evaluation of lymph nodes in CT images over time
Definiens has introduced Definiens Tissue Studio, a digital pathology image analysis software package for translational biomarker research
Definiens has released a computer-aided detection (CAD) application that allows radiologists to identify and analyse lymph nodes volumetrically and compare them over time.
Definiens has released the latest version of its image analysis application Definiens TissueMap 3.0.
Definiens has released a multi-dimensional image analysis platform called Definiens XD.
Definiens has released Definiens TissueMap 2.0 for oncology research. The image analysis software application provides detailed, automated morphometric quantification of biomarkers of nuclei or cell bodies in epithelial tumours or xenografts.
Definiens has released the Definiens Enterprise Image Intelligence Suite 7. The latest version of the powerful image analysis platform provides life science organisations with improved data management capabilities.
In January 2020 the American Diabetes Association released a new set of clinical standards that, for the first time, included the use of an FDA-approved autonomous artificial intelligence (AI) platform for detecting diabetic retinopathy in people with diabetes.
At the end of February physIQ and the US Department of Veteran’s Affairs published data from a clinical trial demonstrating the use of physIQ’s machine-learning algorithm to predict when an individual patient with previously diagnosed heart failure will likely require a readmission to hospital.
Cloud research tools provide a platform for new avenues of scientific research by providing fast access to bare-metal resources.
New processors and GPU technology continue to demand more power than the previous generations, combining this with increasingly dense architectures requires cooling solutions such as liquid or immersion cooling.
Tate Cantrell, CTO, Verne Global, comments on the cost of the AI computing revolution
European researchers are working on a new programming environment for exascale computing that aims to make using these systems more efficient and programmers more productive.
