Estimating the cell type composition in a tissue sample using bulk data is a major challenge in cancer research. To address this, researchers at Oregon Health & Science University (OHSU) have ...

A team of scientists has developed a new AI software tool called 'BANKSY' that automatically recognizes the cell types present in a tissue, such as muscle cells, nerve cells and fat cells. Going a ...

Tissue dissociation and homogenization are excellent candidates for automation in LC-MS workflows, helping scientists achieve consistent and reproducible protein analysis. Scientists use liquid ...

Empa researchers have developed a new 3D tissue analysis for thyroid tumors. This special X-ray technique uses artificial intelligence to enable faster and more precise diagnoses. In the future, this ...

Primary tissues are fixed by the magnetic microneedle scaffold and cut into small pieces by a slicing device, which are imparted with magnetic responsiveness because of the encapsulated microneedle ...

Researchers developed a new computational method to analyze complex tissue data that could transform our current understanding of diseases and how we treat them. Researchers at the University of ...

Researchers combined gigapixel microscopy with explainable AI to analyze pancreatic tissue from living donors. The system accurately classified type 2 diabetes and identified structural changes linked ...

The objective of the Tissue Resources Core is to collect, prepare and distribute high-quality human tissue samples (including solid tissues, blood and other biospecimens) to researchers located on the ...

Discover strategies to overcome sample preparation challenges in clinical proteomics, optimizing workflows for researchers.