Traditional histopathology, crucial for disease diagnosis, relies on chemically staining tissue samples to highlight cellular ...

An AI system called iSeg is reshaping radiation oncology by automatically outlining lung tumors in 3D as they shift with each ...

He, L., Zhou, Y., Wang, Q.T., Liu, J. and Ma, J.P. (2025) Two Pathological Patterns in Different Stages of the Same Disease. Journal of Biosciences and Medicines, 13, 189-195. doi: ...

Background Lung cancer screening using low-dose CT (LDCT) was shown to reduce lung cancer mortality by 20% in the National Lung Screening Trial. Methods The pilot UK Lung Cancer Screening (UKLS) is a ...

A deep-learning model called NucSegAI, trained on 2.2 million nuclei and fine-tuned on 30 lung slides, mapped 45.6 million cells on 119 whole-slide histology images.

The test processes whole-slide images of non-small cell lung cancer tissue to provide a quantitative TROP2 score, which Roche says provides a level of precision beyond manual methods.

If you have non-small cell lung cancer, it is important to discuss comprehensive biomarker testing. This looks for a large number of genetic alterations and proteins in all the genes known to be ...

As the lungs try to recover and repair, they form scars. But scar tissue itself can stiffen the lungs and reduce lung capacity, leading to lasting symptoms such as a cough and shortness of breath ...

Computational Pathology and Integrative Genomics Group. The group works to reconstruct two-dimensional or three-dimensional tumour models from images of tumour sections. ... Researchers have developed ...

Conclusions AI solutions offer considerable potential benefits across the MDT, particularly in repetitive or time-consuming tasks based on pathology and radiology images. Effective leveraging of this ...