Drug Target Review – Issue 2 2023
A new Drug Target Review issue is now ready to download! This issue features articles on cell and gene therapy, imaging and screening.
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A new Drug Target Review issue is now ready to download! This issue features articles on cell and gene therapy, imaging and screening.
The decisions you make about your biologics candidates early in the pipeline ultimately affect their success as therapeutics. Combine sizing and stability information to develop successful biologics.
Researchers from the University of Illinois have identified a new class of ribosomally synthesised and post-translationally modified peptides (RiPPs) named "daptides" that have haemolytic activity.
In this article, Drug Target Review's Ria Kakkad and Izzy Wood explore the results of the latest research on lab automation techniques and technologies designed to accelerate drug discovery.
A new Drug Target Review is now ready to download! This issue features articles which explore antibodies, vaccines and assays.
Tune into this podcast to hear experts discussing scaling up 3D organoids!
An AI strategy developed by US scientists could accelerate the development of new antibody drugs.
Technology is infamous for falling into a hype cycle, with its peaks and valleys of exaggerated expectations and disillusionment — AI-driven drug discovery is no exception. In this article, Aaron Daugherty, Vice President Discovery at Aria Pharmaceuticals, highlights how the industry can use AI to transform research.
Swedish researchers unveiled a new cancer protein profile database compiled from artificial intelligence and machine learning.
Research by University of Arkansas scientists into the binding affinity of potential drugs could help reduce the cost and time associated with developing new drugs.
Discover how Catalent can help you achieve efficiencies and develop a robust, reproducible manufacturing plan for late-stage and commercial launch.
Combining AI with cutting-edge flow cytometry and massive sequencing technologies, researchers describe CAR T cell characteristics that determine their therapeutic capacity for the first time.
Finnish researchers have developed AI based neural network to detect an early knee osteoarthritis from x-ray images, that can save the patient from unnecessary examinations, treatments and even knee joint replacement surgery.
Read about the current state of the industry, challenges associated with potency assays and measuring product potency throughout the manufacturing process.
US researchers, using new machine learning techniques have developed a virtual molecular library of “words” that encode commands to kill cancer cells.