Windows to the Mind: How Your Eyes Reveal Your Brain’s Secrets

• Sai Mattapalli - Vytal.ai, Thomas Jefferson High School for Science and Technology, Alexandria, Virginia, USA
• Rohan Kalahasty - Vytal.ai, Thomas Jefferson High School for Science and Technology, Alexandria, Virginia, USA

In the past five years, artificial intelligence has revolutionized healthcare by enabling earlier detection, diagnosis, and treatment of diseases. A recent breakthrough involves using eye-tracking technology to identify ocular biomarkers, aiding in the early detection of conditions like Alzheimer's and neurodegenerative diseases.

Eye movement tests, previously costly and complex, have become accessible through smartphone and laptop cameras. These tests help detect a range of conditions, from degenerative disorders to brain injuries, improving patient outcomes and facilitating telehealth.

This technology not only benefits patients but also advances the study of brain health. By delving into neurology and treatment efficacy, it may provide insights into the causes of neurodegenerative diseases.

The future potential of gaze tracking is promising, with non-invasive, cost-effective systems offering hope for earlier diagnosis and treatment of neurodegenerative diseases, addressing a significant gap in healthcare. The eyes are not just windows to the soul but also a gateway to the brain's health.

Evaluating LLMs in Healthcare: A ConV2X Panel Discussion

• Sandeep Reddy, MBBS, MSc, PhD Director, MBA (Healthcare Management), Deakin School of Medicine, and Chairman, Medi-AI
• Alexandre Lebrun CEO, Nabla
• Adam Chee, PhD Chief, Smart Health Leadership Centre, Institute of Systems Science National University of Singapore
• Moderator: Dimitris Kalogeropoulos, PhD CEO, Global Health and Digital Innovation Foundation

How do we evaluate large language models for use in healthcare? What are the trusted frameworks for value assessment? Is automation through GPT successfully addressing the healthcare administrative and workforce crisis? What about clinical decision making? Expect a candid discussion from these experts on the implications of LLM’s and AI in Primary Care in the US and around the globe.

Learning Outcomes • Acquire knowledge of the fundamental principles of large language models • Understand how these models are trained and deployed in a healthcare context • Learn how to assess the efficiency and effectiveness of large language models in healthcare • Understand the measures used in determining the success of these models, such as improved patient outcomes, efficiency in operations, and patient satisfaction • Learn to apply evaluation or translational frameworks in assessing the value of large language models • Gain insights into how automation, specifically through GPT, is helping to solve healthcare administrative challenges • Learn about the use of large language models in clinical decision-making • Understand the strengths and limitations of these models in making clinical decisions, administration, and the ethics

What Is DeSci: Challenges and Market Perceptions

Authors

• Jelani Clarke, PhD Executive Lead, DeSci World, and Sales & Marketing Head at AminoChain
• Filippo Frangioni Product Manager, Novo Nordisk, and Head of Partnerships at Nordic Blockchain Association
• Jim Nasr CEO, Acoer

Themes tackled include:

• The perception problem: Why does DeSci still sound like sci-fi to most scientists?
• Funding friction: Can decentralized models compete with traditional grants and venture capital?
• Data ownership: Who really owns research data, and how can blockchain change that?
• Regulatory roadblocks: What happens when innovation moves faster than policy?
• Real world implementation: Beyond the hype, where is DeSci actually working today?

From pharmaceutical giants to grassroots research collectives, these leaders shared unfiltered insights on what's holding DeSci back—and what could accelerate its adoption.

Intrigued?

This conversation is the first in a new podcast series launching in 2026 that will dive deeper into the decentralized science revolution. We'll explore:

• Case studies of successful DeSci projects
• Interviews with researchers and policy makers
• Delve into tokenomics, DAOs, and data sovereignty
• The intersection of AI, biotech, and decentralized systems

The future of science is being built by innovators, technologists, and researchers willing to challenge the status quo.