Tissue Phenomics Blog

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Topics:  image analysis, Immunotherapy, immuno-oncology, tissue phenomics, real world evidence

Three reasons image analysis should be incorporated into your immunotherapy real-world evidence development strategy

Jan 9, 2017 5:00:00 AM

Clinical trials are extremely important to assess the safety and effectiveness of a new therapy or of a currently-available therapy in a new indication. However, there are a few drawbacks to clinical trials, such as:

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Topics:  personalized medicine, big data, tissue phenomics, oncology, digital pathology, colorectal cancer

Towards Personalised Pathology Through Tissue Phenomics®

Sep 14, 2016 3:00:00 AM

Path to personalised medicine

Pathology is one of the main driving forces behind personalised or precision medicine. In fact it has always striven towards the accurate diagnosis and prognosis of a patient’s disease through the observation of tissue architecture under the microscope. Through the application of international staging guidelines, such as the Tissue, Node, Metastasis (TNM) system in the majority of cancers, pathologists are very good at predicting prognosis at the population scale but not so good at predicting a prognosis for the individual patient. For example, if a patient presents with stage II colorectal cancer (CRC) they are predicted to have 20-30% chance of succumbing to their disease. However, it is currently difficult to accurately identify if an individual patient will be within that 20-30% group.

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Topics:  image analysis, personalized medicine, tissue phenomics, data mining

Five Major Benefits of Tissue Phenomics®

Aug 8, 2016 3:00:00 AM

Seeing is believing – this is an important aspect of Tissue Phenomics, where cellular structures in tissue slides taken from patients are investigated in real space. Observing directly what type of structures form and what kind of interactions take place is in general of much higher value than concluding indirectly from other type of data. I experienced this factor very clearly thirty years ago when people speculated about the atomic structure on the surfaces of matter from indirect measurement. When we could, however, image atomic structures directly, it became obvious that most of those speculations were wrong. This is the reason why even for a genetic disease like cancer, genetic information could not push histology aside. Observing the structures and the interactions in tissue slides on the cell level enables insights into the disease of a specific person that is decisive and cannot be created otherwise. Tissue Phenomics builds upon histological information and pathologists’ knowledge and is by no means about replacing it. The mission is rather to gain an even deeper insight into biological processes detectable in cell structures for the enablement of new and successful treatments of patients and their specific diseases. In the beginning there was the question how far one can get with the Tissue Phenomics approach, or more concretely, how far can we go beyond what the experts already know today? What can be achieved when the computer investigates all kind of cell patterns in tissue and correlate them with biological and medical relevance and meaning, represented e.g. by clinical outcome? Today we know better.

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Topics:  symposium, tissue phenomics, Definiens

Definiens' International Symposium for Tissue Phenomics® - A Summary

May 25, 2016 7:30:00 PM

The International Symposium for Tissue Phenomics in Boston, focused on advancements in (immuno)-oncology research. Several recent achievements fuel the hope to turn cancer into a curable disease such as:

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Topics:  image analysis, tissue phenomics, digital pathology

Review: Pathology Visions 2015

Dec 18, 2015 7:30:00 AM

This year’s Pathology Visions Conference was held at the Westin Waterfront in Boston, MA, USA from October 11 to 13. In three parallel tracks, a broad range of topics related to digital pathology was covered. Approximately 270 attendees had the choice between cutting-edge presentations and workshops focusing on clinical applications, education and research, and image analysis.

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