Danielle Guerrero

Press Release: OracleBio integrates Indica Labs HALO AI to enhance Digital Pathology Software Capabilities

July 9, 2020 | by Hannah Thomson
OracleBio continues to enhance its digital pathology software capabilities by integrating Indica Labs HALO AI into its image analysis workflow. This latest step in OracleBio’s development will enable the quantitative digital pathology services provider to meet increasing demand from Pharmaceutical clients globally.

The deep learning add-on, produced by Indica Labs, comes with six distinct neural networks for classification and segmentation of tissue and nuclei, as well as a python plugin for integration of custom neural networks. The AI module fully integrates with OracleBio’s existing HALO® platform and HALO Link system, providing clients with real-time instant access to study images.

The integration of HALO AI will help OracleBio to:

• Deliver data faster: Deep learning has been shown to expedite digital pathology workflows, for example by reducing the amount of time required for manual annotations. The HALO AI module will be run on OracleBio’s AWS Cloud Server, allowing for multiple users analysing simultaneously on high powered GPUs in the cloud, which will further improve OracleBio’s turnaround time.

• Conduct more complex analysis: The HALO AI module will help OracleBio to address more challenging image analysis studies for example, by automated detection of kidney glomeruli and phenotyping of nuclei in H&E-stained tissues.

• Improve accuracy and reproducibility: Deep learning algorithms continually improve and get more precise with every additional training iteration.

Steven Hashagen, Chief Executive Officer at Indica Labs, commented:
‘HALO AI has been a gamechanger for high-throughput analysis customers like OracleBio who need solutions that improve both working efficiency and accuracy. As one of our most productive and long-standing HALO customers, we are pleased to see OracleBio expanding their technical capabilities once again with the addition of HALO AI.’

Lorcan Sherry, Chief Scientific Officer at OracleBio, commented:
‘OracleBio strives to be at the forefront of Digital Pathology and is committed to providing high quality services using the most advanced and sophisticated software. This recent expansion of our services to include Indica’s AI module will allow us to further improve our service offering and we are very excited by the benefits this will bring to our clients.’

OracleBio’s AI-powered digital pathology services are available now. To find out more or arrange an initial consultation, please contact OracleBio.

About Indica Labs
Indica Labs is the world’s leading provider of computational pathology software and services. Our flagship HALO® image analysis platform enables fast, quantitative evaluation of tissues using a broad range of artificial intelligence (AI) and computer vision algorithms. HALO Link and HALO AP™ facilitate remote image analysis, collaboration and management. Through a combination of precision, scalability, and usability our software solutions enable pharmaceutical companies, diagnostic labs, research organizations, and Indica’s own contract pharma services team to advance tissue-based research, clinical trials, and diagnostics. For more information, please visit https://indicalab.com or contact info@indicalab.com.

About OracleBio
OracleBio is a leading provider of quantitative digital pathology services to support pre-clinical and clinical Pharmaceutical R&D. Using industry leading image analysis software platforms, the company delivers accurate and detailed quantification of single and multiplex IHC, IF and ISH marker staining allowing for improved decision making within R&D.

Press Release: OracleBio integrates Indica Labs HALO AI to enhance Digital Pathology Software Capabilities Read More »

WEBINAR: IT’S ALL ABOUT LOCATION: NOVEL PROGNOSTIC MODELS DERIVED FROM SPATIAL ANALYSIS OF THE TUMOR-IMMUNE INTERFACE

29 July 2020 | 8:00 PDT | 11:00 EDT | 16:00 BST – Biological interactions between functionally distinct immune and tumor cell populations can either promote or inhibit tumor growth. In this 75-minute webinar, we will hear from two research teams who have identified novel prognostic signatures using different spatial analysis and machine learning approaches to measure tumor-immune cell interactions within the tumor immune microenvironment (TIME).

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Immunogradient Indicators for Antitumor Response Assessment by Automated Tumor-Stroma Interface Zone Detection

Allan Rasmusson, et al, The American Journal of Pathology, 2020
An international consortium of researchers characterized lung tissue from patients with COVID-19 using transcriptomic, histologic, and cellular analyses. Nienhold and colleagues report two phenotypes associated with lethal COVID-19 disease. One showed high levels of interferon stimulated genes in the lungs as well as limited lung damage and high levels of cytokines and viral loads. The second phenotype included severe lung damage with low levels of interferon stimulated genes, low viral loads, and high levels of CD8+ T cells and macrophages. As patients with the first phenotype die sooner, this highlights the need for biomarkers to classify COVID-19 patients and potentially guide treatment. HALO AI was trained using annotations from a pathologist to identify lung tissue and the resulting output was confirmed by pathology review. HALO was also used for quantification of immunohistochemistry analysis of CD3, CD4, CD8, CD20, CD68, CD123, CD163, and PD1.

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Deployment of HALO AP at Neogenomics – Next Generation Digital Pathology Software for the Modern Anatomic Pathology Lab

16 June 2020 | In this webinar, Indica Labs’ HALO AP Product Manager, Eric Runde, will discuss these capabilities and the nationwide deployment of HALO AP for quantitative IHC testing for breast cancer and colorectal cancer panels at NeoGenomics. Dr. Sally Agersborg, Medical Director at NeoGenomics, will discuss considerations when selecting an image analysis platform and approaches to validation of image analysis for a multi-site laboratory.

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Press Release: Indica Labs, Octo and Axle work with NIH to launch a global COVID-19 digital pathology repository

Albuquerque, NM and Reston, VA– May 21, 2020 – Indica Labs, a leading provider of computational pathology software, and Octo, a premiere information technology systems provider to the U.S. Federal Government, are pleased to announce the online COVID Digital Pathology Repository (COVID-DPR), a virtual collection of high resolution microscopic COVID-related human tissue images hosted at the National Institutes of Health.

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Virtual US User Group Meeting Presentation: A Digital Pathology Repository for COVID, An Evolving Need

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.

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Virtual European User Group Meeting

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. 

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Integration Between Artificial Intelligence and Digital Pathology at AstraZeneca – Broadcast 1, Upcoming Webinar Hosted by Xtalks

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.

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