Category: Drug Discovery

an automated warehouse

Automation That Delivers Seamless Data Handling for Scientific Discovery

Posted on by Brian O'Sullivan

Imagine a lab environment where automation generates raw data, processes it, and outputs exactly what you need so that you can focus your efforts on science. The system can actually make decisions in real-time and continuously refine experiments. Today, the inherent complexity in these types of systems can be streamlined and software can come to the rescue, freeing the scientist from mundane repetitive tasks.  Simplifying the laboratory experience has been a goal for TetraScience and HighRes Biosolutions, and the latest […]

HRB & TETRASCIENCE

Cloud-based Data Management with Lab Automation: HighRes Biosolutions Cellario + TetraScience

Posted on by Brian O'Sullivan

Integration between HighRes Biosolutions’ Cellario lab automation software and the TetraScience Platform provides cloud-based data management and unlocks data science   Authors: Kai Wang, Delivery Team Lead, TetraScience Spin Wang, CEO and Co-Founder, TetraScience Ira Hoffman, CEO, HighRes Biosolutions HighRes Biosolutions Cellario lab automation system with the TetraScience Data Integration Platform to optimize data management […]

Points to Consider When Planning for Lab Automation Projects

Posted on by Brian O'Sullivan

It’s that time of year when your leadership team will start performing 2020 budget planning.  You may be considering a liquid handler for your team or you may be thinking bigger and want a robotic solution.  Whichever solution is the best fit for you, we suggest you consider all aspects as you do not want […]

Large Molecule Research: Higher Targeting Efficiencies Still Leave Room for Automation

Posted on by Morgan Kiss

The rise of biopharmaceuticals has evolved research paradigms and continues to displace use of traditional small molecule therapies in the market. Biologics are forecast to account for more than half of the Top 100 selling drugs by 2022, up from roughly one-third in 2012. Driving these therapies to market has required significant investment in upfront […]

Machine Learning and Drug Discovery

Posted on by Peter Harris

Yesterday, Recursion Pharmaceuticals announced that the Food and Drug Administration had cleared their investigational new drug application for a Phase 1 clinical trial in the treatment of cerebral cavernous malformation (CCM). While this is certainly good news for treating this rare genetic disease, it is also an important milestone in the use of machine learning […]

AI and Drug Discovery

Posted on by Peter Harris

AI WILL EMPOWER DRUG DISCOVERY, BUT NOT THROUGH IN SILICA EXPERIMENTATION Artificial intelligence, or “AI” for short, has been the topic of sweeping news coverage of late. In the life sciences arena, much focus has been given to the use of AI to help the drug discovery process. Articles like “Big pharma turns to AI […]

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