Fall/Winter of 2020 | Indica Labs is excited to continue our HALO® Masterclass Webinar Series this autumn. Each masterclass webinar will offer a deep dive into a specific module or capability within our HALO, HALO AI, HALO Link or HALO AP platforms, presented by our expert team of application scientists who train and support our customer base worldwide.
HALO® MASTERCLASS WEBINAR SERIES Read More »
8-11 June 2020 | In lieu of our scheduled onsite user group meetings, Indica Labs is pleased to announce our 2020 US Virtual HALO User Group Meeting. To make participation easier for our US audience, we will break down the user groups into four one-hour webinars over three days starting at 9 AM PDT/12 PM EDT.
19-21 May 2020 | In lieu of our scheduled onsite user group meetings, Indica Labs is pleased to announce our 2020 European Virtual HALO User Group Meeting. To make participation more convenient for our European audience, we are breaking the user group into three one-hour webinars over three days, 19-21st May, starting at 11 AM GMT each day.
Virtual European User Group Meeting Read More »
23 April 2020 | In this free webinar, attendees will learn about how AI-guided technologies can be used to quantify digital pathology images. Presenters will discuss different deployment models for AI in pathology and how to identify projects that will benefit from AI. Four practical-use cases for AI in drug discovery and safety assessment will also be presented.
Summer of 2020 Indica Labs is excited to introduce our new HALO® Masterclass Webinar Series. Each masterclass webinar will offer a deep dive into a specific module or capability within our HALO, HALO AI, HALO Link or HALO AP platforms, presented by our expert team of application scientists who train and support our customer base worldwide.
HALO® IMAGE ANALYSIS MASTERCLASS WEBINAR SERIES 2020 Read More »
4 March 2020 | In this webinar, researchers and pathologists from the University of New Mexico will discuss their recently published study using the HALO AI deep learning convolutional neural network to detect and classify different types of gastric injury.
Using Deep Learning to Recognize Common Patterns of Injury in Gastric Pathology Read More »
24 April 2019 | By helping scientists make data-driven decisions faster and more efficiently, artificial intelligence (AI) is revolutionizing drug discovery and development. Pathology is no exception and the Pathology Sciences team at AstraZeneca in Cambridge UK is leading the charge. Here, neural networks are being deployed to search digital slides for specific tissue classes, features and pathologies that are not easily quantified using traditional image analysis or are too time-consuming for pathologists to quantify by eye.
