First captured image of antigen-bound T-cell receptor at near-atomic resolution
Using cryo-electron microscopy, researchers have captured the structure of a membrane-bound T-cell receptor complex with bound antigen.
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Using cryo-electron microscopy, researchers have captured the structure of a membrane-bound T-cell receptor complex with bound antigen.
The AI algorithm was able to predict the presence and the location of nuclei in more than 8,000 cells.
Researchers have developed a machine learning method to quantitatively analyse and compare microscopy images of proteins.
12 August 2022 | By
A new technique could relieve pain for individuals with various chronic and neurological conditions.
In a new study, researchers have found that light can be used to naturally balance a cell’s mitochondria.
Researchers analysed the expression of long non-coding RNAs in samples from patients and tumour cell lines, identifying a group of genes with augmented expression in pancreatic cancer.
Researchers used mice to develop a mathematical algorithm of a heart attack.
Dr Richard Goodwin, Head of Imaging & AI, Clinical Pharmacology & Safety Sciences at AstraZeneca, explores the latest innovation in early therapeutic development – spatial biology.
In this section, Dr Peter O’Toole, University of York, examines innovation in the field of microscopy for drug discovery and development research, while in an exclusive Q&A, Dr Michael Grange, Rosalind Franklin Institute, discusses the advantages of utilising cryo-electron tomography imaging.
Researchers have implemented structural colour printing in microfluidic fabrication which creates new pathways for medical diagnostics and miniaturised sensors.
New machine learning models could propose new molecules that have specific properties which could fight certain diseases, doing in minutes what might take humans months to achieve manually.
A research centre based at the University of Kansas has been awarded $6.6 million to create lab-on-a-chip technology for medical tests.
Researchers have developed a new bioinformatics pipeline that could help investigate the mechanism underlying the development of autoimmune diseases following SARS-CoV-2 infection.
Sartorius has launched a proprietary fluidic-free instrument platform for real-time, label-free analysis of biomolecular interactions.
Scientists have developed a deep learning-based model trained on drug-induced gene expression signatures to predict drug-drug interactions.