Bioactivity information of one million molecules compiled
Using deep machine learning, researchers have completed the activity profiles, from chemistry to clinical level, for one million molecules.
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Using deep machine learning, researchers have completed the activity profiles, from chemistry to clinical level, for one million molecules.
While researchers conduct their studies, constraints such as time can impact their work. Dr Ian Holland from the University of Edinburgh spoke with Drug Target Review’s Deputy Editor Victoria Rees to explain how lab automation can offer a solution to these challenges and enhance output for scientists.
With a return to the workplace on the horizon for an increasing number of scientists, Richard Goodwin considers how COVID-19 will impact the ways research is conducted. One outcome he posits is the acceleration of the digital transformation that was already occurring in pharmaceutical R&D.
Scientists have used imaging methods and machine learning to understand cellular metabolism at the single-cell level.
Despite many companies considering digital transformation a top priority, research shows that 70% of digital transformation initiatives fail. In this ebook, we explore why and how the right approach can see your organisation succeed.
AI algorithms, light-field microscopy and light-sheet microscopy have been combined by researchers to image biological processes in 3D.
The latest ebook from Sartorius takes an in-depth look at the technologies and techniques that have been integral to developing the antibody discovery workflow, featuring a host of expert articles, interviews and application notes.
A new artificial intelligence (AI) method has been created to uncover which proteins enable bacteria to infect human intestines.
An AI software called ZeroCostDL4Mic has been developed by researchers to enable other scientists to analyse images from microscopy studies.
Researchers have developed an artificial intelligence to identify the best potential antibody drug from groups of up to a few thousand.
14 April 2021 | By Fluidigm
Watch our free on-demand webinar to learn more about using Imaging Mass Cytometry™ (IMC™) to measure over 40 protein targets with subcellular resolution.
Dr Sam Liver, Manager of the High-Throughput Molecular Discovery Laboratory at the Rosalind Franklin Institute, explains how lab automation in the form of machine learning and high‑throughput experimentation (HTE) can be implemented to enhance productivity in autonomous molecular discovery.
An assay that combines 3D disease models and automated AI-based fibrosis quantification could accelerate NASH drug discovery.
A novel artificial intelligence (AI) technique called ProteinGAN has shown success at studying well known proteins to develop new ones.
The isolation of microbial DNA is a key prerequisite for determining the microbiome profile of each body habitat.