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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.
The PSMA Protein is a new therapeutic hot target. In this article, learn about its growing role in the fight against prostate cancer and beyond.
Tune into this podcast to hear experts discuss imaging and analysing data from organoids!
To help people with opioid addiction, US researchers are turning to AI to create and optimise potential new drugs.
In this article Drug Target Review's Izzy Wood highlights three of the latest findings using lab automation techniques and technologies that aid scientists.
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.
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.
A US study used an AI algorithm to determine chromosomal numbers in IVF embryos.
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.
Using a natural language-inspired technique, researchers at the University of Central Florida, US, developed an interpretable and generalisable drug target interaction model that achieves 97 percent accuracy in identifying drug candidates for a broad variety of target proteins. Here, Dr Ozlem Ozmen Garibay and Aida Tayebi, who worked on the…
Today’s drug screening methods use one or two types of data. However, disease biology is not replicable by simple screening models because diseases are complex and heterogenous. However, advanced screening methods that process dozens of data sources at one time have uncovered novel hits that have been overlooked across the…
US researchers, using new machine learning techniques have developed a virtual molecular library of “words” that encode commands to kill cancer cells.
