GlassBury AI combines agentic patient matching with culturally sensitive community education to eliminate healthcare disparities. By pairing AI with expert-curated workshops, we build the trust necessary to connect underrepresented patients with life-changing clinical trials.

Beyond the "Black Box": Why Trust is the Ultimate Data Moat in Clinical Trial Recruitment

In the high-stakes world of clinical research, fixed machine learning models face a silent, inevitable threat: drift. As clinical practices shift, lab equipment is recalibrated, and patient populations evolve, static algorithms slowly degrade in accuracy. At Glassbury, we recognize that a "black box" approach is insufficient for the long-term challenges of Alzheimer's disease and related CNS conditions

Read More

Estrogen Receptor ERβ: A New Hope in the Fight Against Alzheimer’s in Women

If you look at the statistics for Alzheimer’s disease, one striking detail immediately stands out: almost two-thirds of all people living with Alzheimer's are women. For decades, scientists and doctors explained this gap simply by pointing to the calendar—women

Read More

The 158-Trial Revolution: Inside the Landmark World Alzheimer Report 2026

For decades, medicine treated dementia as an unyielding natural consequence of aging. But between the massive trial pipeline data released this week, new lipid discoveries from UT Health, and a surge in repurposing existing cardiovascular medications, the paradigm has officially shifted from late-stage symptom management to early multi-target prevention.

Read More
FDA, Medical Advancements, NIH, Health Equity Corey Hubbafd FDA, Medical Advancements, NIH, Health Equity Corey Hubbafd

The Future of Drug Research Privacy: Navigating Evolving Regulations

Drug research is a critical endeavor that pushes the boundaries of medical science, leading to the development of life-saving treatments and therapies. However, this vital process involves collecting and analyzing sensitive personal data from research participants, raising important ethical and privacy concerns. As technology advances and data collection methods become more sophisticated, the need for robust privacy regulations in drug research is more pressing than ever.

Read More