Empower researchers with digital tools and flexible automation to address the problem of biological complexity: accelerating R&D whilst reducing cost
In this whitepaper, we lay out the most complete industry vision to date for how biological research will be transformed by an emerging ecosystem of tools that augment human capabilities.
We call this ecosystem and framework: Computer-Aided Biology.
Written by Synthace professionals with backgrounds in drug discovery, software and electronic design automation, in this report you will learn:
How other industries addressed the challenges biology is currently facing
What is Computer-Aided Biology and why the “Digital to Physical” transition is key
What companies are developing products within this framework
In this whitepaper, we further show how the emerging Computer-Aided Biology ecosystem is evolving, and how many companies are striving towards the same goal of an integrated suite of tools.
How to build a strong data foundation for machine learning applications.
First ever no-code platform lowers barriers to automated biological experimentation and insight sharing.
Modern computing tools can help you resolve lab automation dependencies and become more productive. Here's how.
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.
Liquid handling automation had always required user programming to execute even the simplest operations. That is, until now!
We asked our CEO Guy Levy-Yurista about his journey into biotech, his plans for Synthace & the steps he's taking to strengthen the company culture.
Synthace was leveraged to separate a mixture of 4 proteins using gradient elution with Tecan Freedom EVO® and RoboColumns®.
Our Visual Design Lead, Ming Liu, shares some insights into redesigning a product for a new company and how this works in biotech.