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Life Science

Training AI to predict outcomes for cancer patients

Predicting the outcome of cancer can help the clinical decision-making process related to a patient’s treatment. The potential for Artificial Intelligence (AI) to support this was a key facet of the final keynote speech to the online 7th Digital Pathology and AI Congress: Europe, by Johan Lundin, Research Director at the Institute for Molecular Medicine Finland (FIMM) at the University of Helsinki and Professor of Medical Technology at Karolinska Institutet.

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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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AI use in clinical diagnosis

Deep learning tool predicts tumour expression from whole slide images

A deep learning model to predict RNA-Seq expression of tumours from whole slide images was among the industry innovations outlined at the 7th Digital Pathology and AI Congress for Europe. Created by French-American start-up Owkin, the detail of how the company’s HE2RNA model provides virtual spatialization of gene expression was detailed to online delegates by senior translational scientist Alberto Romagnoni who highlighted its use in clinical diagnosis. During his presentation, delegates heard how Owkin has collaborated with doctors, hospitals and academic institutions to develop the tool.

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Machine learning advances diagnostics and prognostics

Computerized image analysis can predict cancer outcomes

The advent of digital pathology is offering a unique opportunity to develop computerized image analysis methods to diagnose disease and predict outcomes for cancer patients from histopathology tissue sections. Such advances can help predict the risk of recurrence, disease aggressiveness and long-term survival, according to a leading expert in the field, Professor Anant Madabhushi from Case Western Reserve University in Ohio.

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Vaginal Microbiota Management and Impact on Women’s Health

Speaking at the 7th Microbiome & Probiotics Business Collaboration Forum, Liisa Lehtoranta explored the future possible directions for vaginal microbiome research.

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Telepathology for second opinion teleconsultation

Speaking at the 2020 Digital Pathology Congress Liron Pantanowiz reviewed why he thought telepathology is the number one application for digital imaging. In this blog, we report what he had to say about telepathology for second opinion teleconsultation.

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Telepathology in the acute care setting

Speaking at the 2020 Digital Pathology Congress Liron Pantanowiz reviewed why he thought telepathology is still one of the key applications for digital imaging. In this blog, we report what he had to say about telepathology in an acute care setting and the importance of validation.

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Talking T cells

This article is republished with kind permission from BioVox.

BioVox got to speak with Prof. David Masopust, the man who discovered resident memory T cells. His seminal breakthrough opened up a new branch of T cell biology and catapulted the field forwards. Masopust shares his thoughts on the enormous untapped potential of T cells in new treatments and vaccines.

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