Virtual biomarkers: an emerging high throughput research tool

Yair Rivenson

doi:10.1117/12.2673868

5 October 2023 Virtual biomarkers: an emerging high throughput research tool

Yair Rivenson

Author Affiliations +

Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC1265506 (2023) https://doi.org/10.1117/12.2673868
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

Pathology underlies every facet of healthcare, influencing greater than 70% of all medical decisions, every phase of pre-clinical and clinical drug development, every tumor repository and biobank, and an ever-increasing majority of standard and companion diagnostics for precision cancer care. However, such studies, whether performed traditionally via visual microscopy or via newer Artificial Intelligence (AI) enhanced image analyses, are all limited by the number of markers – typically immunologic – which can be performed on dwindling, aging samples that must also be preserved for downstream multiomics analysis. In this talk, we’ll demonstrate how we intend on altering the centuries old practice of histopathology with a digitized process to in a non-destructive fashion, enabled by a machine-learning-based virtual staining technology, that enables fully digital, virtual multiplex tissue platform to substantially improve the quality and quantity of pathology samples by protecting sample integrity, minimizing pre-analytic degradation of target analytes, and revolutionizing storage and processing of cancer-relevant biospecimens. We’ll also discuss additional benefits of the technology, such as lab sustainability, and digital outputs could be seamlessly integrated into downstream AI image analysis software, thereby providing total characterization of cellular processes within minutes.

Conference Presentation

Citation Download Citation

Yair Rivenson "Virtual biomarkers: an emerging high throughput research tool", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC1265506 (5 October 2023); https://doi.org/10.1117/12.2673868

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE