Tissue

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News • Groundwork for new treatments

Fibrosis a prognostic biomarker for HER2-negative breast cancer

A new study confirms fibrosis as a prognostic indicator in HER2-negative, the most common breast cancer, and opens the way to antifibrotic drug treatments.

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News • Sticky, yet promising research

3D printing lung tissue from mucus-based bioink

Researchers have created a mucus-based bioink which can be used for 3D printing lung tissue. This advance could one day help study and treat chronic lung conditions.

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News • The role of tissue stiffness

Pancreatic cancer: new approach could reverse chemo resistance

Researchers at Stanford have demonstrated that conditions in the matrix surrounding pancreatic cancer cells impact whether those cells respond to chemotherapy.

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News • Three-dimensional tissue processing

Pathology performs leap into 3D with AI

Adding a new dimension to pathology: Researchers explore new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions for curated prostate cancer specimens.

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News • 6.5 million European funding

Fighting cancer with artificial cells and tissue

Artificial cells to combat cancer: Research groups are working to create synthetic micro-organisms capable of detecting the presence of the disease and delivering anti-cancer therapies.

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News • Tissue analysis tool

'Smart scalpel' to help remove brain tumours

Researchers have developed the 'iKnife', a smart scalpel that is able to recognise healthy tissue from brain tumour in seconds as it cuts, with more than 98% accuracy.

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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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