The first entirely AI-developed drug candidate, DSP-1181, entered Phase I clinical trials in Japan earlier this year, having been discovered […]
Knowledge graphs are critical to many industries today, with big tech giants such as Google and Facebook driving their recent […]
Machine learning pioneer, Stanford University Computer Science Professor, and serial entrepreneur Daphne Koller (co-founder of Insitro and Coursera) was interviewed […]
A recent study has explored the concept of a modern and collaborative approach to data-driven drug development called Translational Precision […]
A large observational study carried out by researchers at the University of Iowa, has suggested that a drug used to […]
Despite an increase in investment into R&D from biopharma companies, only 5-10% of drugs that enter early-stage clinical trials ever […]
Researchers from Columbia University have demonstrated that a transcriptome reversal drug discovery technique, originally developed for cancer, can be applied […]
Join us for our latest 3-part webinar series, Biodata and AI in Drug Discovery, to uncover how experts organise data […]
With drug discovery being an expensive process and genetic-based drugs being more likely to succeed, the level of investment in […]
Researchers from the Laboratory of Computational Systems Biotechnology at EPFL, Switzerland, have developed a database – NICEdrug.ch – that could […]