Engineers have developed a new way to monitor how tiny lab-grown human heart tissues beat—by effectively "listening" to the ...

Corn tissue tests taken at tassel to silking give growers a snapshot of crop health and help plan nutrient applications for ...

Researchers at the Terasaki Institute for Biomedical Innovation have developed an injectable hydrogel, a water-based gel ...

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed ...

MIRP is a python package for quantitative analysis of medical images. It focuses on processing images for integration with radiomics workflows. These workflows either use quantitative features ...

Build your specialist knowledge of human tissue repair after injury and in disease on our globally recognised MSc. You will be taught by UCL's leading scientists and clinicians, study integrated ...

Tool-level co-evolution & the full agent stack — workflow / entrance / summary agents, customizable tool factories across pathology, radiology, and spatial omics, pixel-level active learning, and ...

Hematoxylin and eosin (H&E) staining has been widely used as a fundamental and essential tool for diagnosing diseases and understanding biological phenomena by observing cellular arrangements and ...

Recording technologies for rodents have seen huge advances in the last decade, allowing users to sample thousands of neurons simultaneously from multiple brain regions. This has prompted the need for ...

There has been recent immense interest in the use of machine learning techniques in the prediction and screening of atrial fibrillation, a common rhythm disorder present with significant clinical ...

The optical clearing of biological tissue samples enables anatomical and molecular imaging across scales, from high-resolution microscopy to whole animals. A range of approaches for both ...

Predicting the expected outcome of patients diagnosed with cancer is a critical step in treatment. Advances in genomic and imaging technologies provide physicians with vast amounts of data, yet ...