Guidelines for Validating Whole Slide Imaging for Diagnostic Purposes
Posted 25th May 2021 by Nicholas Noakes
Andrew Evans, speaking at the Digital Pathology & AI Congress USA, described new guidelines he helped to draft for validating whole-slide-imaging for diagnostic purposes. First published in 2013 the guidelines were designed to address the fundamental question, “what needs to be done to validate a whole slide imaging for diagnostic use?”. The review producing the new guidelines was published in May 2021.
Using the abYsis database for drug discovery
Posted 30th April 2021 by Nicholas Noakes
Professor Andrew Martin, UCL, speaking at the 4th Global Pharma R&D AI, Data Science and Informatics Summit, described using the abYsis database and workbench for drug discovery. He showed how it is possible to explore an annotate antibody sequence and structure, including comparisons with observed residue distributions. The database can also aid with humanization by making sequences more human and library design.
Training AI to predict outcomes for cancer patients
Posted 30th March 2021 by Nicholas Noakes
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.
Multiplex Super-Selective PCR Assays for the Detection and Quantitation of Rare Somatic Mutations
Posted 22nd February 2021 by Nicholas Noakes
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.
AI use in clinical diagnosis
Posted 19th February 2021 by Nicholas Noakes
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.
Machine learning advances diagnostics and prognostics
Posted 10th February 2021 by Nicholas Noakes
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.
Vaginal Microbiota Management and Impact on Women’s Health
Posted 9th February 2021 by Nicholas Noakes
Speaking at the 7th Microbiome & Probiotics Business Collaboration Forum, Liisa Lehtoranta explored the future possible directions for vaginal microbiome research.
Telepathology for second opinion teleconsultation
Posted 2nd February 2021 by Nicholas Noakes
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.
