Genestack

02/09/2022

🎓Federated learning - what is it and how can you use it to increase your speed to discovery? In our latest whitepaper, we examine all this as well as a study of the power of federated ML vs. non-federated modelling.

Federated Learning has the power to speed up your discovery process - but only if your data is in the right shape. This article shows a worked example of how federated learning can work alongside strong data management.

05/08/2022

This week we kick off our "Data to Insights" article series by our Head of Product, Alexey Dubovenko, with a look into why data management in Life Sciences has some special considerations.

http://ow.ly/aryH50K62vx

In our every day life the concepts for data, information and files seem obvious: a file is a structured carrier of a chunk of information (data). Files can then be merged and split if they have a similar structure or can be located in the same folder as other files. In our professional life, “work...

30/06/2022

📢 Leo Whyte featured on the Pathmonk Podcast discussing climate impact in the industry, the role of data management in managing that as well as sales and marketing strategy recently. Take a listen below!

http://ow.ly/wUrX50JHN6j

Head of Sales and Marketing, Leo, dives into their growth marketing strategies in this industry and he helps us understand who they serve.

16/06/2022

🏳️‍🌈Pride Month is here and at Genestack this means more to us than just waving a flag and saying the word diversity occasionally. Our Head of Sales & Marketing, Leo Whyte, explains.

https://genestack.com/news/blog/pride-2022-at-genestack/

13/05/2022

is playing an increasing role in discovery and life science . Not sure how to maximise its impact? Our latest article gets you started. 🧠💻

https://genestack.com/news/blog/how-to-maximise-the-impact-of-ai-on-your-research/

Artificial Intelligence (AI) or Machine Learning (ML) is no longer optional if you want to be competitive in life sciences research and development. Whether you are identifying potential drug targets or trying to increase crop yields, machine learning algorithms can help.

21/04/2022

Want a new challenge in a start-up mentality industry leader? We're ! We're currently looking for a Lead DevOps Engineer, Sr Frontend Developer and Sr Java Developer (location negotiable).

More at http://ow.ly/U5Qv50IOl3W or contact Mitya Radchenko () on Linkedin/Telegram.

Software solutions for Life Science Data management and integration

15/04/2022

We are really honoured to have been awarded a "Best Life Sciences Data Management Solution" award by Global Health & Pharma. Thank you for recognising all our hard work!

Best Life Sciences Data Management Solutions – East of England

31/03/2022

Choosing the right data management platform is not always easy. Want some quick tips to ensure you get it right, the first time? Try our new free E-book. 📖 Click the link below to grab your copy!

https://genestack.com/news/blog/e-book-how-to-choose-the-best-system-to-manage-your-data/

Why is good data management important? How do I ensure the system I choose makes research easier and faster? Download the e-book now to find out!

18/03/2022

"Drug resistance is one of the increasing pressures in the drug discovery race.

Genomics-based approaches offer promise in this area by creating a better understanding of the etiology of the disease, revealing new targets for therapies, and aiding the identification of new drug candidates.

To underpin this new approach to drug discovery and to influence better decision making, advanced data analytics are becoming embedded across the value chain by the pharma industry. However, the industry is still struggling with key issues of data management and integration."

Learn more on how to get more out of you large scale population studies in our free ebook below! 📖

http://ow.ly/sjqw50HGKqb

17/03/2022

Genestack's Statement on Ukraine

https://genestack.com/news/blog/genestack-statement-on-ukraine/

04/03/2022

We were honoured and excited to be invited to have our CEO Misha Kapushesky appear on The G Word from Genomics England this week to discuss everything from how he got into to the applications of and machine learning. Well worth a listen.

“There are problems that we as humans have tackled that are extremely amenable to machine learning approaches, challenges like classifying things or, given a lot of data, making a prediction about the next step in that data. I am super excited about machin...