Pathology

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Automation

Tissue-Tek Genie Advanced Staining System – Sakura Finetek

The Tissue-Tek Genie Advanced Staining System is the first and only fully automated, true random access stainer for immunohistochemistry (IHC) and in situ hybridisation (ISH); allowing any IHC or ISH…

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Sponsored • TissueTek Genie System

Advanced staining can be beautifully simple when we standardise it

Imagine, one single standardising solution, enabling uncompromisingly fast results and providing you with the exact same predictable turnaround time.

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News • CSCC study finds distinct subgroups

Cervical cancer: major new clue to understanding aggressiveness

Scientists have discovered that cervical cancer can be divided into 2 distinct molecular subgroups – one far more aggressive than the other – as part of the largest ‘omics’ study of its kind.

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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…

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CNN applications in pathology

‘Deep learning can predict survival directly from histology in clear cell renal cell carcinoma’

Renal cell carcinoma is among the fifteen most common cancers worldwide. Dr Titus Brinker, from the German Cancer Research Center (DKFZ), looked at whether a convolutional neural network (CNN) can…

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Article • Patient care

Molecular Tumour Board for better decision-making

As more genomic alterations become targets for therapy, health institutions and hospitals are creating specialist Molecular Tumour Boards to support better decision-making for patient care. This…

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Article • AI provides prognostic information

Next-generation deep learning models predict cancer survival

Deaths from cancer are currently estimated at 10 million each year worldwide. Conventional cancer staging systems aim to categorize patients into different groups with distinct outcomes. ‘However, even within a specific stage, there is often substantial variation in patient outcomes,’ Markus Plass, academic researcher from the Medical University of Graz, Austria, explained to Healthcare in…

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Malignant tumour management

’Our machine learning model achieved 88.9% accuracy in predicting the sarcoma-specific survival rate’

Clinical management of soft tissue sarcoma is particularly challenging. Dr Sebastian Foersch, researcher at the Institute of Pathology at the University Medical Center in Mainz, Germany, has used a deep learning model for diagnosis and prognosis prediction of soft tissue sarcoma using conventional histopathology slides.

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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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