Arctoris

Arctoris is a #drugdiscovery CRO combining laboratory automation and data science to enable better drug discovery decision making

[Arctoris @arctoris]

@AlexanderStraub Thank you for the shout out, @AlexanderStraub! We are really proud of the collaboration with @IBMResearch to advance closed-loop #drugdiscovery.

[Chemical Industry Journal @ChemicalJournal]

A collaboration between @IBMResearch and @arctoris is investigating the application of AI and automation to accelerate closed loop #drugdiscovery https://t.co/BrEazOKM2k

[Arctoris @arctoris]

We wish you a merry and bright holiday season! We hope that the next year will be happy and prosperous! See you in 2022! ✨

[Arctoris @arctoris]

To model drug-protein interactions we need 3D information, that can be hard to model. Now there is a #deeplearning model that predicts the molecule 3D shape using its 2D structure! @MIT https://t.co/t4C4Ing1GH

[Arctoris @arctoris]

Thanks for the spotlight feature @TheMilnerInst!

[Milner Therapeutics Institute @TheMilnerInst]

Our December newsletter has just hit the virtual stands and you can read it online at the link below!

Spotlights on @arctoris & @Cyclica, events, opportunities, and more!

https://t.co/DS41V3t8O1

#MilnerNews

[Arctoris @arctoris]

How can #AI contribute to #oncology? One way is to help design and identify drugs in AI-powered #drugdiscovery. Find out more about this topic in a review article by Claudio Luchini & co-authors (@UniVerona) ➡️ https://t.co/x1GQpBtyWg

[Arctoris @arctoris]

It was a really dynamic quarter in #AI #drugdiscovery! At Arctoris, our Intelligence team just started drafting the next Issue of the Arctoris Report. Sign up today to get our Q4 2021 issue in January next year! 👉 https://t.co/D627EtAxX7

[Arctoris @arctoris]

It’s huge news in the #AI #drugdiscovery ecosystem! @BenevolentAI is part of the biggest European SPAC deal with Odyssey! Congratulations to @joannashields & BenevolentAI the team. https://t.co/E8swGpTGXT

[Arctoris @arctoris]

#Alzheimers is a complex disease. @DrLiHueiTsai argues in @BostonGlobe that only involving a diverse set of actors (researchers, doctors & data scientists) in treatment discovery, can help to find efficacious medicines. https://t.co/sSS7G2m8X1

[Arctoris @arctoris]

What are the 6 trends in #drugdiscovery when it comes to #AI? From promoting #data-driven approaches to the latest investments in the area @journosooz gives a great summary in her @business article: https://t.co/lRb7nIsIFX

[Arctoris @arctoris]

Using genetics data has been shown to double the success of rates for new drugs in clinical trials! That’s why @GSK & @UniofOxford are jointly establishing an Institute dedicated to merging advanced genetics technologies with #AI for #drugdiscovery! https://t.co/Z7sQkFuodJ

[Arctoris @arctoris]

How to create a perfect drug combination that can treat #cancer? #AI can help! Read more about a #deepleanring model developed by Qingpeng Zhang’s team at @CityUHongKong in an article in @OUPAcademic ➡️ https://t.co/ZaoKrMPHf9

[Arctoris @arctoris]

What methods can be used to turn binding assays #highthroughput in #drugdiscovery? Dan Thomas, our Head of Discovery Biology will talk about different techniques that can be used in a @promegauk seminar. Register: https://t.co/5aU7CyH2QL

📅Dec-8, 13:00 GMP

[Arctoris @arctoris]

Progressing to the First-in-Human stage of clinical testing is an important milestone in the #drugdiscovery & development pipeline. But is even more impressive when the drug was identified using #AI!

Big congratulations to @biogerontology & the @InSilicoMeds team!

[Insilico Medicine @InSilicoMeds]

Today @InSilicoMeds is thrilled to announce our most important news to date - our antifibrotic program has now progressed to the First-in-Human stage! https://t.co/bSwrhDCWEE

[Chemical Industry Journal @ChemicalJournal]

A collaboration between @IBMResearch and @arctoris is investigating the application of AI and automation to accelerate closed loop #drugdiscovery https://t.co/BrEazOLjRS

[Arctoris @arctoris]

Discovering effective drugs starts with identifying promising molecules. But, this can be a lengthy process. Now, #AI can help make this process more efficient. And it’s great to see collaborations such as @Microsoft & @Novartis https://t.co/68aig3unaH

[PromegaUK @promegauk]

Join us for our next free webinar, 1.00pm (GMT) on Wednesday 8 December 2021 - Development of an Intracellular Quantitative Assay to Measure Compound Binding Kinetics

Register at https://t.co/b7nKHFcfWv

Your presenters are Daniel Thomas and Charles Lay

#LabChat #LabWork

[AISciNet @AISciNet]

Register for our 10th #AI3SDAutumn Seminar on Molecules & Data. https://t.co/H59Rr3h65U Speakers: @SuperScienceGrl of
@Syngenta, @BZdrazil of @univienna & @ESchymanski of @uni_lu! @profechem @SamiKanza @arctoris #MachineLearning #Molecules #Data #ArtificialIntelligence #AI #ML

[Arctoris @arctoris]

Often #data collected with different methods can be hard to combine. But #AI can perform this hard task, and use such data to form predictions in #cellbiology that can have #drugdiscovery applications! @TreyIdeker & @Prof_Lundberg co-led the study https://t.co/jfE2tLhlUU

[AISciNet @AISciNet]

2nd in #AI3SDAutumn: #Molecules #Graphs & Networks is @yuanyingfang23 of @HeriotWattUni: The hyperparameter optimisation of graph neural networks for molecular property prediction! Join us: https://t.co/kcaH6Iiv65 @profechem @SamiKanza @arctoris #AI #ArtificialIntelligence #ML