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New machine learning models could propose new molecules that have specific properties which could fight certain diseases, doing in minutes what might take humans months to achieve manually.
Researchers have identified distinct differences among the cells comprising a tissue in the retina, findings that could help develop precise therapies for retinal diseases.
Scientists have developed a deep learning-based model trained on drug-induced gene expression signatures to predict drug-drug interactions.
The COVID-19 pandemic has placed a spotlight on the discovery and development of biotherapeutics, for both the treatment and prevention of diseases. In this article, industry experts discuss the emerging trends they see in biotherapeutic development and how they predict the field will evolve in the near future.
In this ebook, you can find articles on the development of novel assays and technology - download now for free!
Improving processes in the lab can enable researchers to spend their time on other tasks and increase the accuracy of their findings, including when imaging. In this Q&A, Dr Hari Shroff from the US National Institutes of Health (NIH) discusses his recent study, published in Nature where confocal microscopy was…
This article explores the current state of artificial intelligence (AI) in drug discovery and development, discussing the obstacles holding back wider adoption. Dr Mark Eller, Senior Vice President of Research and Development at Aria Pharmaceuticals, makes the case that to succeed, AI must be integrated as a partner alongside core…
In this issue are articles on the development of mRNA vaccines against latent viruses, how memory B cell antibody-based treatments can help to fight cancer and the potential of AI in drug discovery. Also included are pieces on biotherapeutics, immuno-oncology and assays.
Sino Biological, Inc. has announced a new contract research services partnership with Ainnocence, Inc.
Scientists have created a pipeline for identifying, prioritising and evaluating potential tumour antigens for personalised cancer vaccines.
Sanofi and Exscientia will develop up to 15 novel drug candidates by leveraging the latter's AI discovery and optimisation platform.
A research team based at Skoltech in Russia has developed an artificial intelligence-driven solution for highly accurate detection of efficacious binding sites to expedite drug discovery.
Accelerate your drug discovery workflows efficiently and cost-effectively with lab automation solutions from Beckman Coulter Life Sciences.
In this Q&A, Professor Ross King from the University of Cambridge, UK, discusses how a new machine learning approach could aid drug discovery and development. The method learns from multiple problems and improves performance while it learns.
Learn about the high-content analysis system that provides high-quality three-dimensional imaging for enhanced live cell analysis.
