Scientists utilised CRISPR technology and deep learning systems to investigate the genes associated with polycystic kidney disease.
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A new high-resolution virtual microscopy technique enables the rapid visualisation of tissue, paving the way for histopathology analysis during surgery.
Scientists have used several machine learning models to predict bacterial gene exchange, which could reveal novel antibiotic targets.
A new label-free technique has been developed for molecularly specific exosome biosensing in diagnostics and biomarker detection.
A new computer-aided tool maps allosteric sites in G protein-coupled receptors to search for allosteric drugs to treat a range of diseases.
The La Jolla Institute for Immunology and Brigham and Women's Hospital will collaborate to develop a pan-coronavirus vaccine.
Scientists have identified potential cancer drugs to treat pulmonary hypertension using experimental and computational approaches.
The metagenomic method, termed SMAGLinker, could improve the accuracy and resolution of microbial characterisation to improve medicine design.
View Drug Target Review's new infographic on the use of AI and informatics within early therapeutic development here.
Organ-on-a-chip models can provide an alternative to cell cultures, animal models and traditional assays. In this article, Dr Désirée Goubert, Thomas Olivier, Luuk de Haan and Dr Lenie van den Broek explore the advantages of organ-on-a-chip technologies and how they can enable the in vitro study of three-dimensional (3D) cell migration in…
Sinopia has been awarded a $3.3 million Fast-Track SBIR grant to fund the study for its small molecule candidate for Parkinson’s disease.
Researchers have used CRISPR and cryogenic electron microscopy to unravel the workings of two receptors involved in diseases such as cancer and COVID-19.
The new CRISPR-based technology called MIC-Drop rapidly identified several genes for heart development and function in zebrafish.
Artificial intelligence was shown to predict the 3D shapes of RNA molecules, which could significantly advance RNA therapeutics.
An artificial intelligence technique can identify which neoantigens are recognised by the immune system, possibly improving cancer prognosis and treatment.