sky health

Hi! We're all set! Our free webinar "AI Innovation in Drug Discovery and Development" starts today at 4PM (CEST).

Our host, Chris Parjaszewski (CEO of sky gate) will be joined by field experts Elia Brodsky (CEO of Pine Biotech), Nick Lynch, PhD (founder of Curlew Research), and Vikram Sundar (Researcher in Machine Learning and Structural Biology at MIT) to discuss the future of the pharmaceutical industry.

Looking for inspiration on how to leverage in and ? Tune in to our webinar on July 20, 4PM (CEST) to listen to , PhD, the founder of Curlew Research and one of our excellent speakers.

Nick has over 20 years experience in , Informatics and was at AstraZeneca for 13 years leading teams in R&D Informatics, working especially on global data integration. Established Curlew Research in 2014 working with Pharma/biotech & informatics/data science companies.

You can still sign up for the event by clicking on the link ➡️
https://bit.ly/2UNUwyg

As we're preparing for our webinar Innovation in Drug Discovery and Development, let us introduce our first speaker, Elia Brodsky, the CEO and co-founder of Pine Biotech.

As a serial entrepreneur who founded three other companies, Elia gained operational experience in academia through extensive relationships with researchers and educators in the field of . He championed the Pine-Biotech team to be the grand-prize winner of the 2016 Pistoia Alliance President’s Startup challenge. Under Elia’s leadership, the T-Bio OmicsLogic platform has been piloted in more than 10 research collaborations, 5 University-led educational programs and has been recognized for its simplified approach to ‘omics analysis as well as for education.

The event is scheduled to take place on July 20, 4PM (CEST).

Don't miss it out - sign up now by following the link below!
https://bit.ly/3kfi5Lf

Would you like to find out how Machine Learning could revolutionize the drug discovery in the years to come? 👀 As the day of our webinar draws closer, let us introduce our Vikram Sundar - a researcher in Machine Learning and Structural Biology at MIT and our speaker. 🧠

Vikram Sundar is a first-year Computational and Systems Biology PhD student at MIT 👨‍🎓, interested in ML applied to structural biology for drug discovery. He completed his undergrad at Harvard University in math and physics, and did a one-year masters' degree at the University of Cambridge on a Churchill Scholarship focused on ML for protein/ligand binding. He then spent a year as an AI resident at Google applying ML to DNA-encoded libraries for hit identification. His current research, supported by a Hertz Fellowship, uses ML with phage-assisted continuous evolution to improve protein design.

Don't miss your chance and sign up now by following the link below.
https://bit.ly/2VEeRXw

Can humans live & ?

Extending a healthy life span is the Holy Grail for and across the globe. Thanks to the newest development in , , and are closer to each other.

Register to the webinar, listen to the experts

Tue, July 20, 2021
7 AM PDT | 10 AM EST | 3 PM UK | 4 PM CEST | 5 PM ISRAEL

Join today!
https://bit.ly/3wBsyDe

This man does not need to be introduced to the community! 🤖

But get to know him as our host! 🌡️

Chris runs the technology company sky gate ▮ - currently focusing on Artificial Intelligence / technology consulting for the Life Science industry. He advises or co-leads several startups in Silesia, all using AI. 🦾

Client portfolio over the last 13 years:
✅ over 20 Fortune 500 companies,
✅ over 300 start-ups,
✅ over 20 startups from the Silicon Valley,
✅ several clients received financing from Y Combinator or 500 Startups, in total only these clients have obtained hundreds of millions of dollars from investors, among them there is a unicorn from the industry.

Co-founder of sky hacks - the AI community in Silesia, which runs and organizes the largest AI hackathon in Central and Eastern Europe, as well as meetups, conferences and workshops.

Register for the !👇

https://bit.ly/3wAJBVS

It takes more than 10 years on average to bring a new drug to the market.

Can we accelerate that?

The situation has been a significant and positive catalyst for the acceleration of the adoption by the organizations.

Today's process shows the necessity for the rapid processing of vast amounts of data. Innovation is in high demand. What remained to be a yesterday, is in adoption and today.

Topics to stay interested in:

>> Design and Processing of Preclinical Experiments
>> Data-Centric Repurposing of Existing Drugs
>> Target Discovery and Early Drug Discovery
>> Aggregation and Synthesis of Information
>> AI Clinical Trials

Soon, we will be announcing our first results in this field.

We all know biology is complex.

Drug Response Prediction is more accurate these days as Deep Learning comes with more sophisticated tools than the previous Machine Learning models.

Predicting the response is a major challenge in cancer treatment or any other medical therapy.

Deep Neural Networks are built on the high-level neural networks, in the flexible, multilayer systems of connected and interacting neurons, which perform numerous data abstractions and transformations.

In nutshell - this is how it works

INPUT: cell lines, drugs databases

MODEL: gene selection, DNN algorithm, hyper-parameter optimization

EVALUATION: clinical trials, The Cancer Genome Atlas (TCGA) - Patient Datasets

Hello World!

From the heart of Poland, the Silesia Region welcomes you and offers support of the newest Computer Science and Bioinformatics disciplines utilizing heavy computation to push the frontiers of Life Science discovering, extending the human lifespan.

Now it's easier to send sky health a message.

sky health updated their business hours.

sky health updated their website address.