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.

Why New Alzheimer’s Treatments are Leaving Atypical Patients Behind

There is a massive blind spot in the current landscape of neurodegenerative care, and it’s one that should keep every health-tech developer awake at night. For decades, the public and medical consciousness has viewed Alzheimer’s disease through a single, narrow lens: the loss of memory. We imagine the grandmother who forgets a name or the father who loses his keys.

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AI/ML, Healthcare, Health Equity, Drug Research Corey Hubbard AI/ML, Healthcare, Health Equity, Drug Research Corey Hubbard

How Artificial Intelligence is Reshaping Drug Target Identification

In the labyrinthine world of pharmaceutical research, the quest for effective new drugs often resembles a painstaking expedition through an uncharted wilderness. The initial and perhaps most critical phase of this journey is the identification of viable drug targets—specific molecules within the body that play a pivotal role in a disease's progression and can be modulated by therapeutic interventions. Traditionally, this process has been slow, expensive, and fraught with uncertainty. However, a revolutionary force is now transforming this landscape: Artificial Intelligence (AI). By harnessing the power of vast datasets and sophisticated algorithms, AI is rapidly reshaping the field of drug target identification, offering unprecedented speed, precision, and potential.

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