Tissue

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News • RENACER repository

Brain cancer tissue samples to gain new insights

A paper published in Trends in Cancer explains the advantages of RENACER, the world’s first repository of brain metastases live samples, created by researchers at CNIO.

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News • Deep learning refinement

Colorectal cancer: AI tool improves diagnostic accuracy

Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.

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News • Fluorescence lifetime imaging

New technique for distinguishing tumour from normal tissue

A team of researchers has developed a visualisation tool that combines high-speed cameras and fluorescent injection to distinguish tumour tissue from normal tissue across cancer types.

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News • Biomarker-based predictions

AI drives precision oncology for colorectal cancer

For the first time, researchers show that AI-based predictions can deliver comparable results to clinical tests on biopsies of patients with colorectal cancer (CRC).

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News • PFAS as risk factor

Researchers explore link between ‘forever chemicals’ and breast cancer

Can per- and polyfluoroalkyl substances (PFAS) increase the risk of breast cancer? A new study by US researchers examines the effects of the so-called “forever chemicals”.

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News • Tissue identification

Mass spectrometry pen put to good use in thyroid surgery

In thyroid removal surgery, reliable discrimination between different tissues is crucial. US surgeons have evaluated how a new handheld device using mass spectrometry can assist them.

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News • Enabling neuronal tissue growth

A hydrogel to heal the brain

Synthetic hydrogels were shown to provide an effective scaffold for neuronal tissue growth in areas of brain damage, providing a possible approach for brain tissue reconstruction.

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Article • Visceral imaging

Endosonography: AI takes on the “supreme discipline”

Endosonography poses unique challenges for medical professionals, because two demanding disciplines have to be mastered at the same time. The use of artificial intelligence (AI) could help speed up the notoriously slow learning curve of the procedure, says Prof Dr Christoph F. Dietrich. At the Visceral Medicine Congress in Hamburg, the expert explained how AI can help endosonography achieve…

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