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."

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
COVID-19 raises the risk of type 2 diabetes in children, study reveals