Putting People First: A Call for Early Detection and Personalized Treatment

Photo by Louis Reed

The current drug development process is failing patients with chronic respiratory diseases, writes Louis A. Young II, Founder and CEO of Healthmetryx. In this article,  Mr Young explains that leveraging real-world data and artificial intelligence can revolutionize the industry and provide more effective treatments. By shifting to decentralized clinical trials and embracing big data analytics, he contends that we can unlock insights to detect disease earlier and develop personalized therapies that improve outcomes for millions affected by respiratory illnesses.



The current state of the drug development industry is riddled with challenges that hinder the timely and effective treatment of irreversible conditions. High costs, non-effective drugs, and an overemphasis on symptomatic treatment have leftover 40 million patients suffering from chronic respiratory diseases and over 300 million Americans (9 out of 10 people) who do not want to contract an irreversible chronic respiratory disease without the means to detect and treat onset respiratory conditions at an early stage.

However, there is hope on the horizon: the utilization of real-world data in inexpensive decentralized clinical trials has the potential to disrupt the Clinical Research Organization (CRO) status quo and revolutionize the way we approach drug development. By embracing big data and artificial intelligence (AI), we can find new answers and make better decisions that prioritize early detection and more effective treatments for chronic respiratory diseases.

The Prevalence of High Side-Effects and Ineffective Drugs

Many patients with chronic respiratory diseases are all too familiar with the limited efficacy of current treatments and the burden of high side-effects. Traditional clinical trials often focus on the approval of drugs based on statistically significant results, without taking into account the real-world scenarios in which these medications will be used. This approach fails to address the diverse patient populations, comorbidities, and environmental factors that can influence treatment outcomes. As a result, patients are left with expensive drugs that offer little relief and often come with a myriad of adverse effects.

Shifting the Paradigm: Decentralized Clinical Trials and Real-World Data

To break free from the limitations of traditional clinical trials, we must embrace decentralized clinical trials that harness the power of real-world data. By leveraging electronic health records, wearable devices, and patient-reported outcomes, we can gather comprehensive and diverse datasets that reflect the complexities of patients’ lives. This wealth of data allows researchers to analyze treatment outcomes in real-world settings, providing valuable insights into the effectiveness and safety of therapies. Moreover, decentralized trials offer cost-effective alternatives to traditional models, reducing the financial burden on both patients and pharmaceutical companies.McKinsey estimates that over the next three to five years, an average top-20 pharma company could unlock more than $300 million a year by adopting advanced real-world evidence analytics across its value chain.

The Role of Big Data and Artificial Intelligence

Big data and AI play a crucial role in the transformation of drug development. Through advanced analytics and machine learning algorithms, we can uncover patterns, identify risk factors, and predict disease progression. By analyzing vast amounts of data, AI algorithms can provide early detection of chronic respiratory disease onset, enabling proactive interventions and personalized treatment plans. Additionally, AI can assist in the identification of potential drug targets and the design of more efficient clinical trials, streamlining the drug development process and minimizing the reliance on costly and ineffective interventions.

Making Better Decisions for a Healthier Future

It is time for a clinical regime change that prioritizes early detection and effective treatments for chronic respiratory diseases. The status quo of the drug development industry must be disrupted to ensure that patients no longer have to endure irreversible conditions before receiving appropriate care. Through the utilization of real-world data and the power of AI, we have the potential to revolutionize the field, driving innovation and paving the way for personalized medicine. By embracing big data and AI, we can find new answers, make better decisions, and improve the lives of millions affected by chronic respiratory diseases.


The time for change in the drug development industry is now. By shifting towards decentralized clinical trials that leverage real-world data, we can overcome the limitations of the current system and provide patients with early detection and more effective treatments for chronic respiratory diseases. Embracing big data and artificial intelligence will allow us to unlock new insights and make informed decisions that prioritize patient outcomes over profit. Together, let us champion a future where individuals no longer have to suffer irreversible conditions to receive the treatment they deserve.



About the author:

Louis A. Young II is the Founder and Chief Executive Officer of Healthmetryx—an industry defining breath data analytics and AI tech company specializing in respiratory health. Healthmetryx has developed a smart wearable device connected to a cloud-based respiratory analytics platform, to provide real-time insights and early detection capabilities. With a focus on AI-driven data analytics, Healthmetryx aims to empower population health, clinical research, and workplace wellness organizations in making data-driven decisions to improve respiratory health outcomes.

Mr. Young previously led advanced technology and deep science commercialization evaluation for the U.S. Department of Defense’s National Security Innovation Network’s venture accelerator program. He has worked with next generation health, energy, microelectronics, cyber security, and autonomous system inventors from the U.S. Department of Defense, the National Aeronautics and Space Administration (NASA), the U.S. Department of Energy and other U.S. national laboratories to help commercialize their inventions. Louis received his B.A. in Political Science from Johns Hopkins University and earned his MBA from Cornell University with a focus in entrepreneurship and innovation. He also holds a second MBA from Queen’s University with a focus in international business.


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