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Alex Zavol, Founder and CEO of Insilico Medicine

Alex Zavol, Founder and CEO of Insilico Medicine

 


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London Tech Week is a global technology ecosystem that aims to accelerate the infinite cycle of technology innovation by bringing together the innovators who create the technologies of the future, the investors who fund them, and the tech leaders from the companies who adopt them.

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Credit: Insilico Medicine

Dr. Alex Zhavoronkov, founder and co-CEO of Insilico Medicine (“Insilico”), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, will be appearing at a series of conferences next week to discuss bioscience innovations leveraging AI and robotics.

The details of the event are as follows:

[1] London Tech Week 2024

Fireside Chat: The Cutting Edge of AI Innovation in Healthtech

Time: Monday 10th June 15:55 – 16:15 (UK time)

Location: Main Stage, Olympia, London

London Tech Week is a global technology ecosystem that aims to accelerate the infinite cycle of technology innovation by bringing together the innovators who create the technologies of the future, the investors who fund them, and the tech leaders from the companies who adopt them.

With participation from over 90 countries, London Tech Week 2024 will bring together 45,000 participants over the week, focusing on key themes such as artificial intelligence, the deep tech revolution and green innovation.

[2] Founders Forum Global & Founders Longevity Forum

Session: Bioscience Breakthroughs: The Path to Healthier Living and Longer Lives

When: Thursday 13th June, 11.25am – 12.05pm (UK time)

Location: Soho Farmhouse, England

Founders Forum Group is a global community and group of companies supporting entrepreneurs that was founded in 2005. Since then, it has hosted over 40 forums in over 20 cities around the world, aiming to foster collaboration and innovation.

The 18th Founders Forum Global 2024 will bring together over 400 pioneering founders across 60 sectors and 35 countries, along with 130 world-class VCs representing $1.5 trillion in assets under management.

Fireside Chat: How AI is accelerating drug discovery, commercialization, and licensing models.

Time: Monday 11th June, 12.15pm (UK time)

Location: Olympia, London

Designed to bring together founders, CEOs, venture capitalists, corporate venture capitalists, family offices and global thought leaders, the Founders Longevity Forum aims to establish connections and foster innovation in the longevity technology field. In 2024, the event will take place during London Tech Week, the vibrant global tech gathering.

Since 2021, Insilico has named 18 preclinical candidates among a comprehensive portfolio of over 30 assets and obtained clinical trial approval for 7 molecules. In March 2024, the company published a paper in Nature Biotechnology disclosing the raw data and preclinical and clinical evaluation of its lead drug, a potential first-in-class TNIK inhibitor for the treatment of idiopathic pulmonary fibrosis, discovered and designed using generative AI and currently undergoing Phase II trials in patients.

About Insilico Medicine

Insilico Medicine, a global clinical-stage generative AI biotechnology company, is using next-generation AI systems to connect biology, chemistry, and clinical trial analytics. The company has developed an AI platform that leverages deep generative models, reinforcement learning, Transformers, and other modern machine learning techniques to discover new targets and generate new molecular structures with desirable properties. Insilico Medicine develops breakthrough solutions to discover and develop innovative medicines for cancer, fibrosis, immune, central nervous system disorders, infectious diseases, autoimmune diseases, and age-related diseases. www.insilico.co

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for any use of information provided through the EurekAlert system.

Sources

1/ https://Google.com/

2/ https://www.eurekalert.org/news-releases/1047497

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