Supporting Scientists in a Semi-Automated
Pharmaceutical companies face increasing pricing pressure on new medicines, and many have turned to automation to shorten product development timelines, facilitate compliance and reduce costs. By automating repetitive manual tasks, such as pipetting, laboratories can lower error rates and increase...
Supporting Scientists in a Semi-Automated
Pharmaceutical companies face increasing pricing pressure on new medicines, and many have turned to automation to shorten product development timelines, facilitate compliance and reduce costs. By automating repetitive manual tasks, such as pipetting, laboratories can lower error rates and increase...
Improve Notetaking and Documentation in Real Time
In recent years, the reproducibility of scientific research has come under the spotlight. A major barrier to clinical development is the inability of translational scientists to replicate early discovery findings. In 2016, Nature surveyed nearly 1,600 scientists and found that 70 percent of...
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How Cloud Technology Can Transform Pharma Research
With cloud technology, pharma companies can leverage big data, automation and advanced analytics to create nimble, collaborative processes. In a recent interactive roundtable, experts from Bayer, Cytiva and LabTwin discussed how cloud technology allows companies to process huge R&D datasets,...
Capturing High Quality Data (Connecting the dots)
Pharmaceutical companies are striving to harness the power of Artificial Intelligence (AI) to turn rich data resources into strategic assets.
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Laboratory Trends for 2022
There’s no doubt about it. AI (Artificial Intelligence) has been the buzzword for 2021 and looks to be an even bigger focus in 2022. But there are also several other trends that will also impact industries and their laboratories across the board through the coming year, and we’ll examine each one...
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Documenting in vivo Studies
In preclinical drug development, in vivo studies are a mandatory step in the process of turning lead compounds into drug candidates. Regulatory agencies require in vivo safety and efficacy data from animal models before approving novel candidates for human clinical trials. While animal studies are...
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Laboratory Trends 2022 (Artificial Intelligence)
There’s no doubt about it. AI (Artificial Intelligence) has been the buzzword for 2021 and looks to be an even bigger focus in 2022. But there are also several other trends that will also impact industries and their laboratories across the board through the coming year, and we’ll examine each one...
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User Centered Design to Drive the R and D Lab Future
Steve Jobs famously said of his customers, “Our job is to figure out what they're going to want before they do.” This user-centered design approach saw Apple grow into a household name, and today there are 1.4 billion active Apple devices around the world. User-centered design has long been part of...
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Challenges to the Lab of the Future
The Fourth Industrial Revolution or Industry 4.0 is characterized by a fusion of the digital, biological, and physical worlds. The main feature of this revolution has been an increased incorporation of new technologies featuring lab digitization and lab automation into the workflow. As an...
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