Harnessing AI technology for IVF embryo selection
A US study used an AI algorithm to determine chromosomal numbers in IVF embryos.
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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.
In this ebook are articles on how artificial intelligence can be used to identify drug candidates, data-lead screening models and autonomous strategies for molecular discovery.
This ebook details Euretos’ approach to predicting novel gene-disease associations including a case study on Multiple Sclerosis GWAS and drug targets.
A new Drug Target Review issue is now ready to download! This issue features articles which explore how artificial intelligence can enhance screening and ways to find new hits through simultaneous orthogonal screens. Also included are articles on CRISPR, immuno-oncology and RSV vaccines.
Imaging the structure and function of the nervous system at a cellular level – challenges and considerations.
Swedish researchers have designed synthetic DNA that controls a cells’ protein production using AI.
Researchers have streamlined the traditionally slow process of enzyme engineering. This work might help researchers tailor the suitability of enzymes for custom purposes.
Researchers have used AI to design microneedle patches that restore hair in balding mice.
A new AI model can accelerate drug discovery by accurately predicting human response to novel drug compounds.
Trinity College Dublin has developed a new technique that accurately determines the state of macrophages.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.