Machine learning

Kristen Hopson, Vice President of Preclinical Discovery and Development at Generate Biomedicines, and Yue Liu, Associate Director, HTS at Generate Biomedicines, reflect on the impact of artificial intelligence (AI), machine learning (ML), cloud computing, and advances in laboratory automation and high-throughput screening (HTS) on life science research. Proteins are the basic building blocks and engines of […]

Ahead of this year’s SLAS2023 conference in San Diego (which takes place 25 February – 1 March) DDW’s Megan Thomas narrates articles from the DDW SLAS2023 supplement as part of the DDW Events podcast series. This is episode four, How machine learning and lab automation are changing the future of protein therapeutics. In this article, […]

DDW is hosting an exclusive free event, Connected chemistry: How to choose the most promising drug candidates from your hit list. It will be supported by Torx Software. It will take place on March 8, 2023 3PM GMT. Register here for free. AI and machine learning (AI/ML) methods offer an alluring way to expedite the […]

DDW is hosting an exclusive free event, Connected chemistry: How to choose the most promising drug candidates from your hit list. It will be supported by Torx Software. It will take place on March 8, 2023 3PM GMT. Register here for free. AI and machine learning (AI/ML) methods offer an alluring way to expedite the […]

DDW is hosting an exclusive free event, Connected chemistry: How to choose the most promising drug candidates from your hit list. It will be supported by Torx Software. It will take place on March 8, 2023 3PM GMT. Register here for free. AI and machine learning (AI/ML) methods offer an alluring way to expedite the […]

DDW is hosting an exclusive free event, Connected chemistry: How to choose the most promising drug candidates from your hit list. It will be supported by Torx Software. It will take place on March 8, 2023 3PM GMT. Register here for free. AI and machine learning (AI/ML) methods offer an alluring way to expedite the […]

AI and machine learning (AI/ML) methods offer an alluring way to expedite the drug discovery process by delivering a large number of possible new candidates for any given therapeutic area. However, insight from medicinal chemists is still necessary to triage and prioritise the most promising molecules for synthesis, and progress these through the Design-Make-Test-Analyse (DMTA) […]

Atomic AI, a biotechnology company fusing machine learning with structural biology to unlock RNA drug discovery, launched today with a $35 million Series A round.  The financing was led by Playground Global, with participation from 8VC, Factory HQ, Greylock, NotBoring, AME Cloud Ventures, and renowned angel investors including GitHub ex-CEO Nat Friedman, Doug Mohr, Curai […]

Aqemia has raised €30 million in a Series A funding round to further support its mission to massively scale drug discovery through a first-in-class technological platform combining quantum-inspired physics and machine learning.  The financing was led by Eurazeo and Bpifrance through its Large Venture fund, with the participation of Elaia – its historic investor.   Aqemia’s […]

This paid-for advertorial by Benchling appeared in the DDW ebook – AI in drug discovery: How technology is driving innovation. By Ashoka Rajendra, Head of Development & Manufacturing Products at Benchling Artificial Intelligence (AI) is emblematic of the new era of modern biotech — data-driven, collaborative and ultimately, faster than ever. From discovery, to lead […]