Synthace

18/08/2023

What if you could normalize samples five times faster?

Using the Synthace Digital Experiment platform, a scientist can rapidly improve the efficiency and speed of their lab work.

This example shows how a scientist would ordinarily normalize 96 samples to the same concentration, and how a second scientist can use Synthace.

The manual normalization took 95 minutes and required 80 minutes of hands-on time.

The automatic normalization, made possible using Synthace, was complete in 27 minutes and required just 15 minutes of hands on time.

This demonstrates how Synthace can significantly improve the efficiency of lab experiments.

20/07/2023

We're excited to share that we've ranked in the top 50 on the Great Place To Work UK Best Workplaces for Women list!

At Synthace, we empower each employee to live authentically at work, and to thrive while doing so. This ranking is a significant step in building an inclusive culture and bridging the gender gap in the life sciences.

Thank you to our team for participating in this annual survey and helping us create a better workplace for all!

Learn more: https://www.greatplacetowork.co.uk/workplace/item/5128/Synthace

05/07/2023

No scientist enjoys the trial and error involved with finding the right number, and concentration, of stocks.

Like so many tasks in biology, it can make you suffer from a kind of “Goldilocks Syndrome”.

You shift your focus away from your experiment and you obsess over making sure that your stock liquids are, as the curious blonde in The Three Bears puts it, “just right”.

Small enough to fit in the final total volume, at the specified final concentration, but large enough to pipette accurately.

This becomes particularly problematic when you’re planning a complex Design of Experiments (DOE) design.

Nuno Leitão, Principal Research Scientist at Synthace, dives into why stock solution calculations and complex DOEs don't mix, and what you can do about it:

Principal Scientist Nuno explains how Synthace DOE automatically adjusts all your stock solution calculations as you modify your DOE design.

03/07/2023

How do you efficiently manage critical jobs like DOE workflow designs, stock concentration calculations, data structuring and response analysis?

The Synthace lab team shares exactly how they (and you!) can easily conduct sophisticated experiments end-to-end.

Learn how to incorporate DOE into a protocol and manage the complexities of a vast experimental campaign more efficiently.

Watch our latest DOE Masterclass, Anyone can run DOEs: https://www.synthace.com/doe-masterclass-anyone-can-run-does

13/06/2023

Synthace is excited to release a new DOE tool that any biologist can use, regardless of experience. Unlock the power of more sophisticated, efficient, and impactful experiments with your existing lab setup.

If you’ve ever wondered if you’re running the best possible version of your experiment, or if you keep hitting dead ends in campaigns that yield inconclusive results, Synthace DOE can help.

Our Product Marketing Manager, Sam Oliver, details everything you need to know about our latest product, and how you can apply it to your own experiments to generate high-impact results, faster:

Sam Oliver, Product Marketing Manager at Synthace, details our latest product development - the only DOE tool built for biologists, by biologists.

03/09/2021

has been hailed as the next big thing in but to leverage its full potential, the industry first needs to pay attention to and collection. Learn more in our recent article published by Labiotech.eu👉https://hubs.la/H0Wv3QR0

To leverage the potential of AI the life sciences industry needs to pay attention to experimental design and cloud-based data collection.

02/09/2021

We can't wait to be back at in-person conferences! Next week, our Life Sciences Business Director, Fane Mensah, will be attending the SmartLabs Congress in London, UK 🇬🇧 so make sure you come say hi if you're around 👋

You'll have a chance to build your own automation protocol at the conference and send it over to our lab in White City for instant and remote ex*****on. Best part - you'll be able to see it all LIVE 🖥️ No programming expertise or special skills needed - just walk up and automate!

We will be running the demos for free, at Booth 4, at:
▶️ 4.20-4.40 pm on Day 1 (September 8)
▶️ 3.20-3.40 pm on Day 2 (September 9)

See you soon!



Oxford Global Conferences

01/09/2021

What’s next for R&D in this age and how can your organization leverage digital to deliver deeper that helps you select high-quality drug candidates and more quickly identify which might succeed or fail?

See our five-step guide that will help you and your team determine the best possible digital environment to accelerate your day-to-day R&D work, as well as deliver organization-wide 👉https://hubs.la/H0Wn9vf0

29/08/2021

What’s next for R&D in this age and how can your organization leverage digital to deliver deeper that helps you select high-quality drug candidates and more quickly identify which might succeed or fail?

See our five-step guide that will help you and your team determine the best possible digital environment to accelerate your day-to-day R&D work, as well as deliver organization-wide 👉https://hubs.ly/H0W9Q2V0

24/08/2021

Has the astounding pace of the COVID vaccine development set new expectations for drug development timelines?

Our CSO and Co-Founder, Markus Gershater, discusses if we've really arrived at a new normal, and how we need to apply what we've learned to the discovery and development of future therapeutics. Read the blog to find out more👉https://www.synthace.com/covid-vaccine-development-astonishing-but-therapeutics-discovery-and-development-not-solved/

Our CSO and Co-Founder discusses the astounding pace of the COVID vaccine development and how we need to apply what we've learned to future R&D.

22/08/2021

: The increasingly complex problems in biological can be addressed with tools such as .

But to utilize machine learning to its full potential in order to address complex biological questions, we must be able to build a strong foundation of well contextualized in biological . Read our blog to find out where to start👉https://www.synthace.com/machine-learning-its-all-about.../

How to build a strong data foundation for machine learning applications.

19/08/2021

What’s next for R&D in this age and how can your organization leverage digital to deliver deeper that helps you select high-quality drug candidates and more quickly identify which might succeed or fail?

See our five-step guide that will help you and your team determine the best possible digital environment to accelerate your day-to-day R&D work, as well as deliver organization-wide 👉https://hubs.la/H0Vx_GS0