Bench-to-Bedside Transition of Novel HALO® Assays into Clinical Trials with HALO AP®

Life Sciences, Clinical Trials, Biomarkers,
  • Friday, December 10, 2021 | 11am EST (NA) / 4pm GMT (UK) / 5pm CET (EU-Central)
  • 60 min

Transitioning novel assays underpinned by quantitative image analysis to a clinical environment may seem a daunting task. Whereas research and discovery image analysis workflows are more flexible and open, clinical image analysis assays must be locked down.

The HALO AP® platform can help to bridge this gap. In this 1-hour webinar, featured speakers will demonstrate end-to-end how to develop a quantitative assay in HALO® and transition it into clinical trials using HALO AP.

Join this webinar to learn how to:

  • Create an image analysis algorithm in HALO and HALO AI
  • Use the Custom Assay Builder of HALO AP to create a stepwise, guided assay workflow
  • Import HALO and HALO AI algorithms into custom assays
  • Sign and lock custom quantitative assays to prevent tampering
  • Use the case review and collaboration tools within HALO AP for management of clinical trials
  • Monitor clinical trial status using the HALO AP clinical trial dashboard

Speakers

http://Stephanie%20Jerman,%20Indica%20Labs

Stephanie Jerman, PhD, Sr. Imaging Scientist, Indica Labs

Stephanie has a background in cellular and molecular biology, receiving her PhD in Biomedical Sciences in the Pathology Department at the University of New Mexico. She then went on to complete Postdoctoral programs in the Genetics Department at Yale University and the Immunology Department at the University of New Mexico. During this time, Stephanie became well versed in immunohistochemistry, immunofluorescence, microscopy, and image analysis techniques. She joined Indica Labs in 2018 as an Imaging Scientist where she is responsible for collaborating with different customers on digital image analysis projects to extract meaningful data from a variety of tissue and sample types.

Message Presenter
http://Katie%20McKinley

Katie McKinley, Director, Clinical Applications - Europe & Americas, Indica Labs

Katie is responsible for the commercial growth of HALO AP, Indica Labs’ first analysis software designed specifically for clinical workflows. Working closely with clinical laboratories, she applies her experience of the clinical market, and pathology workflow optimization to support institutions as they transition away from glass. Katie has held a variety customer facing roles over the years, entering the digital pathology industry in 2009.

Message Presenter

Who Should Attend?

This webinar is of interest to pathologists, researchers, and clinicians in a wide variety of settings, including:

  • Academic medical centers, institutes and hospitals performing clinical trials
  • Translational research labs developing unique prognostic or predictive assays requiring multi-site validation
  • Pharmaceutical companies with interest in companion biomarkers for clinical trials
  • CROs responsible for outsourced immunohistochemistry and image analysis for clinical trials
  • CLIA labs developing LDTs who wish to make these tests more widely available to subscribing pathologists

What You Will Learn

Join this webinar to learn how to:

  • Create an image analysis algorithm in HALO and HALO AI
  • Use the Custom Assay Builder of HALO AP to create a stepwise, guided assay workflow
  • Import HALO and HALO AI algorithms into custom assays
  • Sign and lock custom quantitative assays to prevent tampering
  • Use the case review and collaboration tools within HALO AP for management of clinical trials
  • Monitor clinical trial status using the HALO AP clinical trial dashboard

Xtalks Partner

Indica Labs

Indica Labs software solutions provide fast, quantitative evaluation of whole slide tissues using HALO® and HALO AITM for image analysis and HALO LinkTM and HALO AP® to manage images, data, and facilitate collaboration. With unmatched ease-of-use and scalability, pharmaceutical, healthcare, and research organizations worldwide are using HALO for high-throughput, whole-slide image quantification in areas such as oncology, immuno-oncology, neuroscience, ophthalmology, metabolism, and toxicological pathology.

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