#4: Revolutionizing Global Health with AI: Exploring Novel Approaches for Enhanced Health Outcomes
06/25/23 • 51 min
Sign up to the newsletter: https://globalhealthconversations.substack.com/?utm_source=substack&utm_medium=web&utm_campaign=substack_profile
Imagine a world in which public health policies were shaped by powerful insights derived from cutting-edge technologies like AI, Machine Learning, and Big Data models. This fascinating intersection of science and policymaking is explored in the latest episode of our podcast, titled "The Role of AI, Machine Learning, and Big Data Models in Shaping and Influencing Public Health Policy." In this episode, we delve into the transformative potential of predictive and prescriptive analytics, shedding light on how these techniques can revolutionize the way we approach public health challenges. Well, we’ve officially arrived.
One example discussed in this solocast episode revolves around vaccine policy. Predictive analytics, a technique that harnesses historical health data and other relevant factors, can play a pivotal role in anticipating disease outbreaks. By analyzing patterns in previous outbreaks, demographic information, climate data, and even social media trends, AI-powered predictive models can forecast the likelihood of an infectious disease spreading in a particular region. We talk about a hypothetical example of Dengue fever. This invaluable early warning system empowers policymakers to take proactive measures, allocating resources and implementing preventive strategies to curb the impact of the
outbreak beforehand.
However, predictive analytics is just the tip of the iceberg. Prescriptive analytics, a more advanced form of data analysis, takes the game to a whole new level. Picture a scenario where a prescriptive analytics model optimizes vaccination campaigns during a pandemic or mass immunization effort. By leveraging AI, Machine Learning, and Big Data models, policymakers can unlock powerful insights to guide their decision-making process.
These models consider a myriad of factors, including population density, demographics, disease prevalence, healthcare infrastructure, and vaccine supply chains. With this wealth of information, the prescriptive analytics model provides actionable recommendations. It advises on the optimal locations for vaccination centers, the scheduling of appointments, prioritization criteria, and resource allocation. This level of precision ensures that limited vaccine supplies are distributed efficiently, maximizing immunization coverage while minimizing the impact of the disease on public health.
In this latest solocast episode, we explore how analytics is revolutionizing decision-making across industries, uncover the challenges and ethical considerations associated with their implementation, and gain valuable insights into the future of this rapidly evolving field.
This solocast is a little longer than the standard 20 minutes. I hope you enjoy it. Let's start a conversation.
Contact me: [email protected]
Sign up to the newsletter: https://globalhealthconversations.substack.com/?utm_source=substack&utm_medium=web&utm_campaign=substack_profile
Imagine a world in which public health policies were shaped by powerful insights derived from cutting-edge technologies like AI, Machine Learning, and Big Data models. This fascinating intersection of science and policymaking is explored in the latest episode of our podcast, titled "The Role of AI, Machine Learning, and Big Data Models in Shaping and Influencing Public Health Policy." In this episode, we delve into the transformative potential of predictive and prescriptive analytics, shedding light on how these techniques can revolutionize the way we approach public health challenges. Well, we’ve officially arrived.
One example discussed in this solocast episode revolves around vaccine policy. Predictive analytics, a technique that harnesses historical health data and other relevant factors, can play a pivotal role in anticipating disease outbreaks. By analyzing patterns in previous outbreaks, demographic information, climate data, and even social media trends, AI-powered predictive models can forecast the likelihood of an infectious disease spreading in a particular region. We talk about a hypothetical example of Dengue fever. This invaluable early warning system empowers policymakers to take proactive measures, allocating resources and implementing preventive strategies to curb the impact of the
outbreak beforehand.
However, predictive analytics is just the tip of the iceberg. Prescriptive analytics, a more advanced form of data analysis, takes the game to a whole new level. Picture a scenario where a prescriptive analytics model optimizes vaccination campaigns during a pandemic or mass immunization effort. By leveraging AI, Machine Learning, and Big Data models, policymakers can unlock powerful insights to guide their decision-making process.
These models consider a myriad of factors, including population density, demographics, disease prevalence, healthcare infrastructure, and vaccine supply chains. With this wealth of information, the prescriptive analytics model provides actionable recommendations. It advises on the optimal locations for vaccination centers, the scheduling of appointments, prioritization criteria, and resource allocation. This level of precision ensures that limited vaccine supplies are distributed efficiently, maximizing immunization coverage while minimizing the impact of the disease on public health.
In this latest solocast episode, we explore how analytics is revolutionizing decision-making across industries, uncover the challenges and ethical considerations associated with their implementation, and gain valuable insights into the future of this rapidly evolving field.
This solocast is a little longer than the standard 20 minutes. I hope you enjoy it. Let's start a conversation.
Contact me: [email protected]
Previous Episode
#3: How to Write Your Way to Success: Navigating Career Paths, Marketing in Healthcare & Life’s Unexpected Twists (ft. Maria Kasimati)
In this episode of Global Health Conversations, I spoke to Maria Myrto Kasimati, MHCM, a scientific expert specialized in immunology and public health currently working for Havas Just:: as a Medical Writer. Maria has research experience in Ebola studies at University of Surrey’s faculty of Epidemiology, Immunology and Public health; and is an absolute firecracker passionate about democratizing healthcare access for all. Having pivoted her career path, Maria, known to her friends as Mary, is a true international and having earned her degrees in the United Kingdom, has worked in medical communications in London focusing on healthcare access. Today she is a specialist medical writer working closely with the pharmaceutical industry. We discuss career paths, healthcare access and medical writing. Have you wondered how to harness your scientific background into science-driven education and medical writing? This episode is a must-listen for any young scientist asking yourself the question we all ask ourselves: What do I do next?
Connect with Mary here: https://www.linkedin.com/in/maria-myrto-kasimati-mhcm-92139314b/
Next Episode
#5: CRISPR, Gene Editing, Access to Biotherapeutics & On-target approaches to the PhD journey (ft. Margareta Rybarikova)
Subscribe to the Global Health Conversations Newsletter to be updated on the latest interviews and episodes 🤩 : https://globalhealthconversations.substack.com/?utm_source=substack&utm_medium=web&utm_campaign=substack_profile
Margareta Rybarikova is a current PhD candidate with a keen interest in the development of novel therapies for genetic disorders. She received her Bachelor's degree in Biomedical Sciences from Brunel University London, where she focused on gene therapy, genomic medicine, molecular pharmacology, and cellular pathologies.
Margareta went on to complete a Master's degree in Genes, Drugs, and Stem Cells - Novel Therapies at Imperial College London, where she was elected as the Course Representative. For her MSc project, she explored AAV-mediated gene editing with small Cas9 nucleases for Huntington's disease. Her passion for genetic therapy led her to pursue a PhD at the CHUV, as part of the Lemanic Neuroscience Doctoral School in Lausanne. In her doctoral research, she is developing a CRISPR-Cas9 system for ATXN3 gene editing in Spinocerebellar ataxia type 3 (SCA3).
A friend of the podcast, Margareta discusses her research, gene therapies as a frontier in tackling rare diseases, access to biotherapeutics and balancing life and science and scientific career paths.
If you like this episode you’ll love
Episode Comments
Generate a badge
Get a badge for your website that links back to this episode
<a href="https://goodpods.com/podcasts/global-health-conversations-425849/4-revolutionizing-global-health-with-ai-exploring-novel-approaches-for-58669041"> <img src="https://storage.googleapis.com/goodpods-images-bucket/badges/generic-badge-1.svg" alt="listen to #4: revolutionizing global health with ai: exploring novel approaches for enhanced health outcomes on goodpods" style="width: 225px" /> </a>
Copy