virtual biomarkers: an emerging high-throughput research tool | Webinars

Thu Aug 11 2022 1:00 PM EDT


Pathology underpins every facet of healthcare, influencing more than 70% of all medical decisions. It is used in every phase of preclinical and clinical drug development, in every tumor repository and biobank, and in a growing majority of standard and companion diagnostics for precision cancer care. However, such studies, whether performed traditionally by visual microscopy or by new image analyzes enhanced by artificial intelligence (AI), are limited by the number of markers that can be performed on shrinking samples and aging. These samples should also be retained for downstream multiomics analysis.

Yair Rivenson demonstrates how the age-old practice of histopathology can be changed using a digitized process in a non-destructive manner. The process is enabled by virtual staining technology based on machine learning that enables fully digital and virtual multiplex tissue platforms to dramatically improve the quality and quantity of a pathological sample. This is accomplished by protecting sample integrity, minimizing pre-analytical degradation of target analytes, and revolutionizing the storage and processing of cancer-relevant biospecimens.

Rivenson also discusses additional benefits of the technology. These benefits include laboratory durability and digital outputs that can be seamlessly integrated into downstream AI image analysis software, providing full characterization of cellular processes in minutes.

Who should attend:

Researchers and engineers working in pathology who are interested in recent advances in the field. Professionals working with AI in the fields of biophotonics. Individuals interested in test and measurement, imaging, microscopy and spectroscopy, in areas such as cancer research, histopathology, medicine and pharmacy.

About the presenter:

Yair Rivenson, Ph.D., is CEO and co-founder of Pictor Labs. Prior to taking an active role in Pictor Labs, he was an Assistant Professor and Research Fellow in the Department of Electrical and Computer Engineering at UCLA. There Rivenson developed the core technologies that would become the foundation of Pictor. He transitioned to his professorship after three years of postdoctoral work in Professor Aydogan Ozcan’s lab at UCLA.

Rivenson’s intellectual property portfolio includes one issued and 11 pending patents, over 65 co-authored journal publications and over 110 peer-reviewed conference presentations. His achievements have been recognized by senior members of IEEE and Optica, as well as the UCLA Chancellor’s Award for Postdoctoral Students. Rivenson is editor of the IEEE Photonic Log.

Research & TechnologyMicroscopyartificial intelligenceBiophotonicscancermedicalpharmaceutical

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