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Insilico Medicine launches new system for COVID-19 basic and clinical research

Today Insilico Medicine, a global leader in artificial intelligence for drug discovery and development, announced the launch of a new system for COVID-19 basic and clinical research. COVIDomic is a foundational technology that enables scientists to use anonymized patient data to integrate with a variety of existing data sets.

Bioinformatics and Artificial Intelligence (AI) tools can then be applied in many ways, starting with better stratifying COVID-19 patients, understanding the disease trajectory and identifying relevant disease pathways and targets.

COVIDomic is built using massive multi-omics data sets, sophisticated dimensionality reduction algorithms and deep learning systems. This amount of computing will rely on Intel Xeon processors.

The development team is inviting scientists globally to contribute to the development of the system and engage in active research collaborations.

COVIDomic is a cloud-based platform that uses AI approaches to identify risk factors associated with severe disease progression.

A researcher can upload wide combinations of patient data, including viral and human genomes, rich metadata (describing patient’s lifestyle, co-morbid disorders and biological age), results of blood tests and even transcriptomic sequencing of lung fluid or nasal swabs (to identify changes in microbial communities).

As a result, the platform identifies the minimum number of relevant features that could be used to define severe disease progression for a given population.

COVIDomic is an open access tool to stratify risk and severity from multimodal data sets, including multi-omics data. Insilico Medicine’s AI-driven generative biology approach is a unique offering in the marketplace. We are part of many COVID-19 consortiums and collaborations but COVIDomic is a system that will help scientists and researchers alike to predict the severity of the disease.”


Alex Zhavoronkov, PhD, Founder and CEO, Insilico Medicine

“By predicting outcomes, clinicians can establish protocols and treatments we hope will reduce the severity and mortality of infection.”

“Analyzing massive amounts of data – quickly – across geographies and data sets is essential for gaining insights into how the novel coronavirus affects people across the world,” noted Rick Echevarria, Intel Vice President, Sales, Marketing, and Communications Group.

“Intel computing power enables AI that can help researchers in the fight against COVID-19. We hope that by sharing our expertise, resources and technology we can help accelerate research across diverse geographies and with companies such as Insilico Medicine.”

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Insilico Medicine to present at Leveraging Intelligent Tech for Drug Development

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IMAGE: Leveraging intelligent tech for drug development.
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Credit: Insilico Medicine

Wednesday, September 30, 2020 – Insilico Medicine, a global leader in artificial intelligence for drug discovery and development, will present its latest results in modern and next-generation AI for drug discovery and productive longevity at the Live Leveraging Intelligent Tech for Drug Development Forum on September 30, 2020.

AI, automation and data integration are condensing the timeline from discovery to development and solving biological problems. On September 30th, leaders from biotech and pharma will discuss specific examples of how these technological advancements are reshaping the drug development landscape.

While technology continues to revolutionize biotech, pharmaceutical companies are investing heavily in modernizing internally to embrace and embed these innovations throughout their organizational structure and culture. On the clinical trial front, not only are sponsors pressed to have remote and decentralized designs for their trial models due to the ongoing COVID19 pandemic, but regulators have openly expressed their willingness to consider creative new ideas for trial design, including wearable technology for remote data capture. Meanwhile in the workforce, competition is fierce to recruit and maintain the best talent and to understand how the role of the scientist is evolving to embrace the future of tech-enabled biopharma.

“We are thrilled to have CEO Alex Zhavoronkov address stakeholders at the upcoming digital forum on Leveraging Intelligent Tech for Drug Development on September 30th, hosted by Unite Life Sciences. Insilco Medicine’s work in the use of AI in drug discovery for Sars-CoV-2 and the ongoing COVID19 Global Pandemic offers remarkable insight to participants in the forum, which convenes senior decision makers, investors, and innovators in pharma, biotech and venture capital to examine real-case scenarios for accelerating drug discovery and modernizing clinical trials with data & automation. Unite Life Sciences is the dedicated life science division of IQPC US. Their digital content & forums provide a platform to drive stakeholder engagement, collaboration, and transformational change in biopharma.” said Nicole Hayes, Managing Director, Unite Life Sciences.

“I am very happy to present at Leveraging Intelligent Tech for Drug Development – a great event to gain insight on how industry can successfully align innovation in science, design, regulatory process and patient-centricity.” said Alex Zhavoronkov, Ph.D., Founder and CEO of Insilico Medicine.

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About Insilico Medicine


Since 2014 Insilico Medicine is focusing on generative models, reinforcement learning (RL), and other modern machine learning techniques for the generation of new molecular structures with the specified parameters, generation of synthetic biological data, target identification, and prediction of clinical trials outcomes. Recently, Insilico Medicine secured $37 million in series B funding. Since its inception, Insilico Medicine raised over $52 million, published over 100 peer-reviewed papers, applied for over 25 patents, and received multiple industry awards. Website http://insilico.com/

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