Cosmos Health Completes Acquisition of Cloudscreen, a Cutting-Edge AI Platform; Enters Lucrative $25Bn+ Global Drug Repurposing Market
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Cosmos Health Completes Acquisition of Cloudscreen, a Cutting-Edge AI Platform; Enters Lucrative $25Bn+ Global Drug Repurposing Market

CHICAGO, IL / ACCESSWIRE / January 23, 2024 / Cosmos Health Inc. ("Cosmos Health" or the "Company'') (NASDAQ:COSM), a diversified, vertically integrated global healthcare group engaged in innovative R&D, owner of proprietary pharmaceutical and nutraceutical brands, manufacturer and distributor of healthcare products, and operator of a telehealth platform, announced today that it has successfully completed the acquisition of Cloudscreen®, a cutting-edge Artificial Intelligence (AI) powered platform. The acquisition is pursuant to the purchase agreement announced on October 11, 2023.

Cloudscreen is a multimodal platform specialized in drug repurposing, a process that involves uncovering new target proteins or indications for existing drugs for use in treating different diseases. The platform focuses on identifying new therapeutic uses for drugs that have already been tested for safety and efficacy. This approach also includes the exploration of abandoned drugs for potential application in treating different diseases, thereby broadening the scope of possibilities in finding effective treatments through repurposed pharmaceuticals.

Cloudscreen integrates 1D and 3D data into an AI algorithm, which comprehensively interrogates the druggable proteome (the complete set of proteins) and variome (the whole set of genetic variations), to provide accurate predictions for existing drugs towards new indications. The platform is complemented with real time in vitro validation towards effectiveness and toxicity predictions.

Cloudscreen Engine: Drug repositioning AI algorithm based on 3D & 1D structural information of drug targets

Repurposed discoveries offer several advantages compared to traditional drug development, including higher success rates of 1/10 versus 1/1000 for traditional discovery. Additionally, these discoveries benefit from heightened safety profiles and significantly shorter impact times, ranging from 2-5 years as opposed to the 10-15 years in traditional drug development, all while being substantially more cost-effective, with expenses of around $5 million on average compared to over $1.5 billion on average in traditional methods.

Cloudscreen is committed to disrupting the field of drug repurposing by addressing the significant limitations of current methodologies. Traditional approaches in this domain have predominantly relied on textual data and faced the challenge of limited protein structural information, covering only about 20% of the Proteome. This often results in contradictory information within the extensive big data sets. Cloudscreen's strategy involves the integration of 3D structural information to provide a more accurate molecular level focus, transcending the limitations of textual data. The company is also dedicated to expanding its database to include 100% of the Proteome space, thereby filling a critical gap in protein structural information. Additionally, Cloudscreen employs advanced Machine Learning (ML) algorithms to enhance the reliability and confidence in its predictive models, offering a more sophisticated and dependable solution in drug repurposing.