Cosmos Health Files New AI-Driven Patent Application for Multiple Sclerosis Treatment, Targeting $25 Billion+ Global Market
CHICAGO, IL / ACCESS Newswire 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 the filing of a patent application for multiple sclerosis (MS), a disabling autoimmune disorder affecting millions worldwide.
The patent application, filed under Application Number N2039644, represents a significant step forward in the Company's intellectual property strategy. This milestone highlights Cosmos Health's strategic partnership with Cloudpharm and the National Hellenic Research Foundation, supported by the pharma patent expert team at NLO.
The patent is supported by data-driven in silico evidence and simulations generated by Cosmos Health's AI-powered Cloudscreen drug repurposing platform, coupled with robust experimental validation. Recent findings by Cosmos Health have demonstrated the potential of a repurposed marketed drug for treating MS, with the inventors identifying a unique mechanism of action.
These advancements underscore the Company's commitment to tackling the challenges of autoimmune diseases and providing innovative solutions to enhance patient care.
Multiple Sclerosis
Multiple sclerosis is a chronic autoimmune disorder that affects the central nervous system, causing a wide range of symptoms and significant disability. According to the Atlas of MS, the number of individuals living with MS globally has risen from 2.3 million in 2013 to 2.9 million in 2023. With its unpredictable progression, MS presents ongoing challenges for patients and healthcare providers alike.
Global Market Overview
According to Grand View Research, the global multiple sclerosis treatment market has been experiencing steady growth, driven by advancements in therapeutic options and a rising prevalence of the disease. The market was valued at approximately $25.94 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 5.9% from 2024 to 2030. This growth is fueled by the introduction of innovative therapies, increased healthcare investments, and ongoing research to address the unmet needs of MS patients.
Greg Siokas, CEO of Cosmos Health, stated: 'This patent application is another important addition to our intellectual property portfolio and reflects our dedication to advancing innovative treatments for complex diseases. By focusing on multiple sclerosis, we are addressing a critical medical need and are committed to delivering impactful solutions for patients worldwide.'
About Cosmos Health Inc.
Cosmos Health Inc. (Nasdaq:COSM), incorporated in 2009 in Nevada, is a diversified, vertically integrated global healthcare group. The Company owns a portfolio of proprietary pharmaceutical and nutraceutical brands, including Sky Premium Life®, Mediterranation®, bio-bebe®, C-Sept® and C-Scrub®. Through its subsidiary Cana Laboratories S.A., licensed under European Good Manufacturing Practices (GMP) and certified by the European Medicines Agency (EMA), it manufactures pharmaceuticals, food supplements, cosmetics, biocides, and medical devices within the European Union. Cosmos Health also distributes a broad line of pharmaceuticals and parapharmaceuticals, including branded generics and OTC medications, to retail pharmacies and wholesale distributors through its subsidiaries in Greece and the UK. Furthermore, the Company has established R&D partnerships targeting major health disorders such as obesity, diabetes, and cancer, enhanced by artificial intelligence drug repurposing technologies, and focuses on the R&D of novel patented nutraceuticals, specialized root extracts, proprietary complex generics, and innovative OTC products. Cosmos Health has also entered the telehealth space through the acquisition of ZipDoctor, Inc., based in Texas, USA. With a global distribution platform, the Company is currently expanding throughout Europe, Asia, and North America, and has offices and distribution centers in Thessaloniki and Athens, Greece, and in Harlow, UK. More information is available at www.cosmoshealthinc.com, www.skypremiumlife.com, www.cana.gr, www.zipdoctor.co, www.cloudscreen.gr, as well as LinkedIn and X.
Forward-Looking Statements
With the exception of the historical information contained in this news release, the matters described herein, may contain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Statements preceded by, followed by, or that otherwise, include the words 'believes,' 'expects,' 'anticipates,' 'intends,' 'projects,' 'estimates,' 'plans' and similar expressions or future or conditional verbs such as 'will,' 'should,' 'would,' 'may' and 'could', are generally forward-looking in nature and not historical facts, although not all forward-looking statements include the foregoing. These statements, involve unknown risks and uncertainties that may individually or materially impact the matters discussed, herein for a variety of reasons that are outside the control of the Company, including, but not limited to, the Company's ability to raise sufficient financing to implement its business plan, the impact of the COVID-19 pandemic and the war in Ukraine, on the Company's business, operations and the economy in general, and the Company's ability to successfully develop and commercialize its proprietary products and technologies. Readers are cautioned not to place undue reliance on these forward-looking statements, as actual results could differ materially from those described in the forward-looking statements contained herein. Readers are urged to read the risk factors set forth in the Company's filings with the SEC, which are available at the SEC's website ( www.sec.gov). The Company disclaims any intention or obligation to update, or revise any forward-looking statements, whether as a result of new information, future events or otherwise.
+44 207 0971 653
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
18 minutes ago
- Yahoo
Former head trader of Denver-based investing company pleads guilty to insider trading
DENVER (KDVR) — A Connecticut man pleaded guilty to an insider trading charge on Friday for actions he took while employed at Denver-based firm Irving Investors. Ryan Squillante, 40, of Weston, Connecticut, was employed as the head of equity trading at Irving Investors at the time of the offense, according to the U.S. Attorney's Office for the District of Connecticut. While there, he received 'material non-public information' about some publicly traded companies. Australian hacker sentenced in May arrested by HSI Denver, faces deportation Prosecutors say that Squillante used MNPI on 15 different occasions between August 2022 and May 2023 for his own benefit, profiting about $220,912 from the transactions, according to the attorney's office. The U.S. Attorney's Office for the District of Connecticut provided an example of one of the times Squillante reportedly received MNPI about a clinical-stage biopharmaceutical company called Praxis Precision Medicines. Praxis is traded on the NASDAQ. The prosecutors said that between Feb. 27, 2023, and March 2, 2023, Squillante 'sold short' over 38,000 shares of Praxis for an average price per share of $3.04. On March 3, prosecutors say Squillante announced poor results of the company's drug trial before the market opened. Following that announcement, Squillante 'covered' the same number of shares at an average price of $1.82 per share, making a profit of about $46,421. Squillante pleaded guilty to securities fraud, which has a maximum term of imprisonment of 20 years. He's scheduled to be sentenced on Aug. 29. Copyright 2025 Nexstar Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed. Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Entrepreneur
35 minutes ago
- Entrepreneur
Five essential skills for building AI-ready teams
AI is developing at a rapid pace and transforming the way global industries operate. As companiesaccelerate AI adoption in order to stay competitive and reap its potential benefits, the urgency forbuilding AI-ready capabilities in the organisation is increasing. Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur United Kingdom, an international franchise of Entrepreneur Media. The true value of AI-based solutions depends on the teams who understand, challenge, embrace and integrate it wisely. In my new book, Artificial Intelligence For Business, I highlight the impact of AI on the future of work, specifically the skills gaps and job displacements, as well as future essential skills required in global organisations. For business leaders, building AI-ready teams means more than just hiring technical experts or data scientists. Success in the AI business landscape means upskilling the workforce to develop five essential capabilities that will enable people to thrive. AI literacy and understanding Knowledge and understanding of AI can seem overwhelming, particularly to those in non-technical roles who may struggle with the constant flood of information about large language models, Python codes and AI platform functionalities. While not everyone needs to have a deep technical understanding for how to develop AI-based solutions, they should understand what AI can do and where its limitations lie. AI literacy goes beyond a mere understanding of AI technologies. It involves building foundational understanding of its context and value, as well as the ability to question its design and implementation. AI literacy should be developed across all teams in an organisation, including how AI works, the different types of AI solutions, how data is used, where bias can creep in, and what real world applications look like in the relevant industry. Building AI literacy begins with organisational education and training programs that offer executive- level understanding of AI capabilities, limitations and risks, as well as industry-specific applications. Additionally, hands-on experience and real-world applications are critical in developing an understanding AI in a business context. The aim is to raise the level of understanding to ensure every AI-related business decision is made with awareness and purpose. Critical thinking and data scepticism As we increasingly apply AI-based technologies in our daily business, the outcomes can be quite compelling. The potential productivity gains and scale of benefit are driving organisations to implement AI-based solutions across various business functions. The outputs of AI tools may appear clean and professional, but may not always be rooted in accuracy or truth. In addition, there may be hidden biases that could be detrimental, particularly if the outputs are used in critical decision- making processes. AI-ready teams need to develop critical thinking skills – the ability to analyse AI outputs, identify anomalies or biases, and make well-informed decisions relating to its use. As organisations increasingly use AI-based systems, there is a risk of over-reliance and trust on its output, without truly understanding how the outcomes are derived. This is where critical thinking becomes indispensable. Building internal capabilities in 'data scepticism', or the ability to challenge assumptions, examine how models are trained, and identify potential errors, anomalies or biases in the output, is critical for organisations. Although a certain level of technical competency may be required to deep dive into the AI-system capabilities, a basic level of confidence to raise concerns and questions across all teams interacting with AI solutions and outputs will be essential for organisations. Deep technical training is not required for this. More importantly, leadership teams should prioritise building an organisational culture where employees are encouraged to question and analyse AI- generated insights. For example, establishing scenario-based exercises, diverse team discussions and formalised feedback loops will help sharpen critical thinking skills across the organisation. Human-machine collaboration As the capabilities of AI-based technologies rapidly advance, the question of whether to replace human resources with AI is becoming increasingly dominant in the global business landscape. In recent months, we have seen several global organisations make headlines as the decision to replace laid-off workers with AI and automation takes centre stage. This includes brands such as Klarna, UPS, Duolingo, Google and Salesforce, among many others. In my experience, the integration of new technologies does not automatically mean replacing people. As we have observed over decades of industrial revolution, technology enables shifts in working environments, taking over tasks and pushing human resources to more complex or different types of work. Albeit AI development is significantly more rapid and its capabilities enable more sophisticated tasks, the cycle of shifting work remains the same. In the AI age, this means creating new kinds of teams where humans and intelligent systems collaborate effectively to deliver cohesive and sophisticated work at an accelerated pace. To support this, companies should focus on role redesign, process mapping, and experimentation with AI tools in real workflows. Encourage cross-functional collaboration - between business, tech, and data teams - to break down silos and co-create solutions. The key is to help people see AI as an assistant, not a threat. Ethical reasoning and responsible innovation With the rise of AI application in business comes a surge of ethical concerns and risks, including bias, data privacy and over-reliance of AI for critical decision making. To leverage AI-based technologies effectively, organisations cannot afford to overlook these concerns, particularly considering the developing regulatory scrutiny and fragility of consumer trust. Every team should receive education and training on the ethical concerns and challenges of AI application in business, including the ability to recognise biases in data and outputs, understanding explainability requirements, and making inclusive decisions. Responsible use of AI should be a foundational part of the organisational culture. Realistically, this goes beyond formal training programs to enable successful adoption in organisations. Transparent communication, open dialogue, best practices and use cases are needed to explore potential unintended consequences and ensure responsible use is top of mind for all teams. Ethical reasoning should not be designed to slow innovation, but ensure that it is able to flourish within the space of safe and responsible use for the business. Adaptive learning and growth mindset One of the most foundational skills for an AI-ready team is adaptability. Exponential technologies, particularly AI, are developing rapidly and constantly changing. The most valuable skill in an AI-ready organisation is not the knowing everything, but being curious, open to change and continuously willing to learn. Embedding this growth mindset in how teams work and collaborate gives employees permission to explore new capabilities, learn quickly from failure, and experiment with new tools and solutions within a safe environment. In the current AI age, organisations need to prioritise investments in microlearning platforms that are able to encourage continuous rapid learning, knowledge sharing and reward curiosity. Critically, leadership teams should model this mindset, demonstrating the willingness to evolve and rethink traditional assumptions and limitations. Adaptability will ensure the organisation does not just survive the era of AI transformation, but thrives in it. AI-readiness goes beyond training programs, certifications and tools proficiency. It is truly a team- wide capability that requires sustainable investment in people. The future of work is not only impacted by the rapid development of AI, but how intelligently organisations are able to prepare the workforce to embrace it responsibly.
Washington Post
an hour ago
- Washington Post
Apple heads into annual showcase reeling from AI missteps, tech upheaval and Trump's trade war
CUP — After stumbling out of the starting gate in Big Tech's pivotal race to capitalize on artificial intelligence, Apple will try to regain its footing Monday at its annual Worldwide Developers Conference. The pre-summer rite, which attracts thousands of developers to Apple's Silicon Valley headquarters, is expected to be more subdued than the feverish anticipation that surrounded the event during the previous two years.
