Pathology

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News • Technology transition

Netherlands Cancer Institute switches to new digital pathology platform

The Netherlands Cancer Institute (NKI) will deploy a diagnostic platform from digital and computational pathology solutions provider Proscia, the company announced.

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News • Neurodegeneration assessment

New blood test differentiates Alzheimer’s disease from other dementias

A new blood test that can track and follow the neurodegeneration in Alzheimer's disease - and exclude other dementias.

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News • Specialized immune cells

γδ T cells carry potential for new cancer immunotherapies

Dutch scientists have discovered how specialized immune cells can detect and remove cancers that are ‘invisible’ to the conventional defense mechanisms of the immune system.

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News • Patient-derived whole-tumor cell culture model

Breast cancer: New method finds the right therapy

Swedish researchers have developed a method that should be able to predict whether a patient with breast cancer will benefit from a particular treatment or not.

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News • Application in pathology

Endometrial cancer diagnostics: AI gives new insights

New research shows the power of artificial intelligence (AI) applied to endometrial carcinoma microscopy images. This could improve diagnosis and treatment of uterine cancer.

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News • Novel approach in pathology

Laser microbiopsy: a minimally invasive method to extract tissue samples

In a recent study, a US research team developed a revolutionary laser-based approach to perform microbiopsies. Their novel method could make biopsies faster, more cost-effective, and less harmful to…

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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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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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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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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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