This episode is brought to you by Visiopharm. Multiplex tissue staining can generate large amounts of data to help identify distinct information about particular cells in tissue.  Immuno-oncology is a field where it is common practice to use multiplexing, in particular for cell phenotyping in tissue. Phenotyping is the ability to classify every individual cell in the tissue based on the biomarker panel used. The panels are designed to identify cells of different lineages as well as cell activation states within each lineage, which is of utmost importance for the personalized therapeutic a ..read more

Founded in 2011 by this episode’s guest, Lorcan Sherry, along with co-founder John Waller, OracleBio entered the digital pathology market with a unique value proposition – to be a contract research organization for tissue image analysis and help other organizations in their biomarker discovery work.  Fast forward 10 years and they evolved from a small service provider into a Good Clinical Practice (GCP) compliant organization supporting clinical trials, but still within the same paradigm of providing tissue image analysis services. Originally using one software package (Definiens), they d ..read more

This episode is brought to you by Visiopharm. After experimenting with multidimensional, multimarker, and multicolor single-cell imaging modalities during his postdoc at Beth Israel Deaconess Medical Center in Boston, looking at 2D images of tissue stained just with hematoxylin and eosin (H&E) seemed to him a bit simplistic…and then he was tasked with doing tissue image analysis (IA). When relying just on H&E, IA can be a very challenging task. So, to both simplify it and extract more information from the tissue, multiplex staining can be implemented.   In this three-part episode ..read more

This episode is brought to you by Visiopharm Artificial Intelligence is starting to cross from pathology research into pathology clinical practice. With several AI-based algorithms approved for clinical use in Europe and many more in the making, it is clear that rather sooner than later it will be an integral part of practicing pathology. Does everyone practicing pathology have to keep up with this new trend? Those who wish not to and are close to retirement probably not, but everyone else probably yes. AI will become one of the pathologist’s everyday tools and the use of this tool should be t ..read more

If you are working with immunohistochemistry (IHC) you know how challenging it can sometimes be to optimize all the steps in the process to obtain a high-quality stain. It often takes testing different antibodies, antibody concentrations, antigen retrieval methods, and incubation times. What if there was a way to produce an IHC stain virtually, without antibodies or even the need to step into the lab? Today’s episode’s guest is Victor Dillard, the commercial operation director of Owkin. Owkin is a company leveraging artificial intelligence and machine learning for medical image analysis and ..read more

This episode is brought to you by Visiopharm Machine learning is not a new technology, but it started to revolutionize pathology relatively recently. The ideal combination of untapped, abundant pathology data necessary to leverage machine learning and the relevance of pathology applications has drawn scientists to this field and caused an artificial intelligence (AI) explosion. Within just two years from 2018 to 2020 AI-based tissue image analysis went from “cutting edge technology” to “mainstream”. The deep learning explosion started with the Camelyon challenge which served as a proof of conc ..read more

This episode’s guest, Andrew Janowczyk, is a computer scientist who has been active in the field of digital pathology since 2008. Before turning to the field of digital pathology he worked across the globe and across industries. He was a salmon fisherman in Alaska. In Austria at the United Nations (UN) International Atomic Energy (IAE) Agency, he significantly contributed to the work that won the UN IAEA a Nobel Peace Prize. He taught English in China. He helped build an oil facility in the Nigerian jungle and lived in Nigeria for a while. Then he lived in Germany… A close family member diag ..read more

Today’s guest, Chaith Kondragunta, started working on neural network applications as an engineer back in the days when the computing power to fully utilize them was not available yet. This research field had to wait for the technology to catch up with the theoretical concepts. When this was achieved, Chaith harnessed deep learning for data analytics in the financial sector, but always knew, that to make a real difference it should be implemented in health care and medical sciences. This opportunity came in 2018 when he became the CEO of Aira Matrix – an image analysis company applying deep le ..read more

As a computer scientist, he knew that to make a real impact with image analysis there were only two areas: military and life sciences. Sylvain Berlemont, the founder of Keen Eye chose life sciences and never looked back. He started consulting for the industry during his biomedical image analysis research work in academia and he quickly saw that regardless of the applications, the questions asked and the problems to be solved were very similar. Patterns started to emerge and the next logical step was to form a service company and offer solutions to those problems. The service company later turn ..read more

Smartphone, smartwatch, smart TV…internet of things (IoT) and artificial intelligence of things (AIoT) is ubiquitous. But did it already make it into any of the digital pathology devices? Oh yes! There is a smart whole slide scanner out there. In this episode, I am talking with Don Van Dyke, the chief business officer of Bionovation Biotech. Bionovation holds a patent to a potentially revolutionary scanning technology powered by AI. Due to the ability of the scanner to predict the 3D architecture of the scanned tissue in the Z-axis the device is able to dynamically adjust camera focus exactly ..read more