HALO AP

Choosing The Right Foundation: Selecting And Deploying An Image Management System For Diagnostic Digital Pathology

18 May 2023 | In this 60-minute webinar, we will discuss considerations when selecting a digital pathology image management system for clinical diagnostics. In the first half of the event, we pose questions and suggest approaches that your group may adopt when evaluating diagnostic digital pathology platforms. A comprehensive Vendor Evaluation Template will be provided to live attendees to assist in vendor evaluations, helping you more effectively identify a platform that meets your current needs and supports your plans for growth. In the second half of the webinar, we will present a live demonstration of the HALO AP® platform, including how to deploy image analysis and AI-based tools from Indica Labs and third parties for predictive or prognostic support.

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Molecular and Digital Pathology Innovators Xyall and Indica Labs Forge Global Collaboration to Transform Precision Oncology Workflows

Albuquerque, USA and Eindhoven, The Netherlands – April 17th, 2023 – Xyall and Indica Labs have entered into a global strategic partnership designed to bridge the gap between histology and molecular pathology. It unites Xyall’s unique automated tissue dissection solutions with Indica Labs’ AI-powered, diagnostic digital pathology platform. 

Molecular and Digital Pathology Innovators Xyall and Indica Labs Forge Global Collaboration to Transform Precision Oncology Workflows Read More »

HALO® User Group Meeting: Expanding the Boundaries of Digital Pathology Through AI and Integrations ​

4 May 2023 | Indica Labs is pleased to announce our Boston HALO® User Group Meeting at Le Méridien Boston Cambridge on May 4 from 1 pm – 6 pm.

HALO® User Group Meeting: Expanding the Boundaries of Digital Pathology Through AI and Integrations ​ Read More »

Press Release: Indica Labs and Hamamatsu Photonics K.K. Announce Collaboration to Provide Optimized Integrated Digital Pathology Workflows

Albuquerque, NM and Hamamatsu City, Japan, – 14th October 2022 – Indica Labs, an industry leader in quantitative digital pathology and image management solutions, and Hamamatsu Photonics K.K., a forerunner in whole slide imaging systems, announced an agreement to maintain long-term interoperability between Indica Labs’ HALO AP® software platform and Hamamatsu’s NanoZoomer family of high-speed, high-resolution scanners.

Press Release: Indica Labs and Hamamatsu Photonics K.K. Announce Collaboration to Provide Optimized Integrated Digital Pathology Workflows Read More »

Press Release: Leica Biosystems Announces Partnership with Indica Labs to Deliver Integrated Digital Pathology Workflow Solutions for Mutual Customers

Vista, CA – Sep 4, 2022, Leica Biosystems, a cancer diagnostics company and a global leader in workflow solutions, and Indica Labs, the industry-leading provider of computational and image management software in digital pathology, today announced a partnership focused on delivering compatible digital pathology workflow solutions.

Press Release: Leica Biosystems Announces Partnership with Indica Labs to Deliver Integrated Digital Pathology Workflow Solutions for Mutual Customers Read More »

Press Release: Indica Labs Announces Collaboration with The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) for the Development of an AI-based Algorithm for the Automated Reporting of Lymph Node Status in Colon Cancer

Albuquerque, NM, and Glasgow, Scotland, – 30 August, 2022 – Indica Labs, an industry leader in quantitative digital pathology and image management solutions, and The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD), announced today an agreement to collaborate on the development of an AI-based digital pathology solution for the detection of cancer within lymph nodes from colorectal surgery cases.

Press Release: Indica Labs Announces Collaboration with The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) for the Development of an AI-based Algorithm for the Automated Reporting of Lymph Node Status in Colon Cancer Read More »

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