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Medical screening is a strategy used to identify the possible presence of an as-yet-undiagnosed disease in individuals without signs or symptoms.
Dr Isaac Karimi and his team explain how compounds to treat COVID-19 could be found in Kurdish ethnomedicine, selecting some plants for computational drug discovery.
17 December 2020 | By Living Systems Institute, University of Exeter
Watch our on-demand webinar where we explore new methods to improve data quality from high-throughput screens. You'll learn about solutions for common problems in drug-target discovery and our keynote speaker will also look at case studies where new approaches to screening have identified high-quality candidate drugs for proliferative diseases.
Researchers engineered the Disque Platform, a high-fidelity culture system, to enable them to screen drugs able to promote β cell proliferation.
Scientists have created a drug discovery platform that enables the discovery and optimisation of RNA-targeting compounds.
Scientists have trained a computer algorithm to identify differences in cancer cell lines based on microscopic images, preventing the misclassification of cells.
Study shows that haematoxylin can selectively kill cancers with a mutated form of the calreticulin gene (CALR), common in a group of bone marrow cancers called myeloproliferative neoplasms (MPNs).
The use of genetic testing has had a positive impact on patient care, bringing abundant opportunities for diagnosis or predictions of future diagnoses. Pushpanathan Muthuirulan explains how the application of genetic screening can help to customise healthcare for individuals based on their unique genetic makeup.
Researchers at Ingenza and the University of Plymouth are using a machine learning and high‑throughput screening approach to discover novel antimicrobial therapies. In this article, Nikki Withers spoke to one of the researchers, Jack Kay, to hear about the current threat posed by antimicrobial resistance and how he hopes their…
The novel probes, known as positive controls, could make it easier to validate rapid, point-of-care diagnostic tests for COVID-19 across the globe.
Bioanalytical systems have rapidly developed over the past 10 years for lead selection during cell-line development. The advanced technologies for the timely and cost-effective screening of antibodies or vaccines involve consideration of quantitation, kinetics and other critical quality attributes (CQA).
By combining machine learning and T-cell engineering researchers were able to develop cell therapies that can selectively and effectively target and destroy solid tumours.
COVID-19 is known to infect the lungs; however, the dynamics of viral infection and replication are poorly understood. Alongside the Liverpool School of Tropical Medicine, Professor Lyle Armstrong and colleagues have been working to develop a human lung epithelium model of SARS-CoV-2 infection and replication. In this article, he describes…
Researchers have shown that 70 percent of Alzheimer’s patients have high levels of proteins associated with dysfunction in the endosomal trafficking system in their spinal fluid.
A new study shows that methacycline, a commonly used antibiotic, can reduce the neurological damage caused by Zika virus infections in mice.
Rodent studies show that using antibodies with different targets and modes of action in combination is more effective at preventing and treating COVID-19.
