Pathology

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Supervised learning approach

A new deep learning-based algorithm to predict relapse-free survival in papillary thyroid carcinoma

The tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC). Sebastian Stenman, researcher from the Institute for Molecular Medicine, and the Department of Pathology at the University of Helsinki, Finland, is developing and training a deep learning algorithm using supervised learning to detect and quantify the proportion of tall cells in PTC.

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Sponsored • Art or science?

Advanced staining – Getting the optimal slide

Advanced staining evolved with growing complexity, resulting in many variations and combinations to get the right staining quality. It felt the flexibility brings you total control, but actually what we see is the introduction of multiple variables. This endless tweaking has taken its toll.

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Article • An estimated 800,000 deaths in 2030

Warning of looming global liver disease pandemic

Professor Dina Tiniakos, from the National and Kapodistrian University of Athens, predicts that NASH (Non-alcohol related steatohepatitis) cases will soar worldwide by 2030, with 800,000 liver deaths, costing health economies billions of dollars.

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Article • WSI, AI and more

New digital frontiers for nephrology

Digital technology solutions create new opportunities in diagnosis and assessment of renal conditions. With whole slide imaging (WSI), improved workflow and better visualization, such technology already yields a ROI for hospitals and laboratories.

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News • Coronavirus imaging

Brightest ever X-ray shows lung damage from Covid-19

The damage caused by Covid-19 to the lungs’ smallest blood vessels has been intricately captured using high-energy X-rays emitted by a special type of particle accelerator. Scientists used a new imaging technology called Hierarchical Phase-Contrast Tomography (HiP-CT), to scan donated human organs, including lungs from a Covid-19 donor.

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Article • Mass spectrometry goes handheld

A pen to pin down the fringes of cancer

Mass spectrometry – a powerful tool for analysing the molecular composition of a tissue sample – is invaluable during cancer surgery. However, mass spectrometers are complex and unwieldy, and certainly a poor fit for an operating room (OR). To create a bridge between the lab and OR, Professor Livia S Eberlin, from Baylor College of Medicine, has developed a very special ‘pen’.

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