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Tag: oncology

Circulating biomarkers in melanoma immunotherapy

Genevieve Boland, speaking at the Research & Technology Series, described the translational research conducted at her laboratory. Using tumour and blood samples from patients before treatment, at meaningful clinical changes, progression, and post-mortem she, and her team are trying to understand the biology of Melanoma to treat patients better.

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Multiplex Super-Selective PCR Assays for the Detection and Quantitation of Rare Somatic Mutations

Professor Fred Kramer spoke at the recent Research & Technology Series exploring Flow Cytometry / qPCR & Digital PCR / Liquid Biopsies. During his presentation, he explained how Super Selective primers enable the simultaneous identification and quantitation of rare somatic mutations in routine multiplex PCR assays, while virtually eliminating signals from abundant closely related wild-type sequences.

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Multiplex and high fidelity: the potential of qPCR

Ahead of the qPCR & Digital PCR Congress, we sat down with David Zhang to talk about his work with PCR as a diagnostic platform.

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How to translate biomarker discoveries into clinical applications

Extracellular vesicles provide an exciting opportunity as a modality for non-invasive biomarkers, which may enable them to be used as biomarkers for tumour metastasis.  

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ctDNA and AI are the way forward in early cancer detection and metastatic treatment

We spoke with Dr David Guttery about his pioneering work using circulating tumour DNA to enable early detection, monitoring and therapeutic decision making for better patient outcomes in gynaecological cancers.

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imCMS: The door to simple, cheap, reliable bio-stratification

Bringing molecular and digital pathology closer together through a more integrative approach can lead to clear advantages for diagnostic and research workflows.

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Developing computationally derived imaging biomarkers for maximum clinical impact

Professor Anant Madabhushi is a world-recognised, award-winning leader in computerized imaging research and translational applications, with over 160 peer-reviewed journal publications and close to 100 patents issued or pending. He is a keynote speaker at the 6th Digital Pathology & AI Congress: USA. He explains here why having patents is not enough…

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Developing Deep Learning Models for Pathology Analysis

Ahead of the 6th Digital Pathology & AI Congress: USA, Dr Saeed Hassanpour introduces us to the subject of his presentation: the opportunities and challenges in developing deep learning based tools for histology.

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