SynthEquity: A Computational Epidemiology Framework for Optimizing Healthcare Access​SynthEquity aims to shift public health planning from reactive to predictive. It bridges the gap between privacy laws and the need for granular health data. To learn more about SynthEquity, see its website.

 

The project leverages Generative AI (CTGANs) to create a "Synthetic Population"—a dataset that statistically mirrors a real city’s demographics and behaviors but contains no real individuals. This allows policymakers to simulate high-precision interventions without violating HIPAA or privacy constraints.

 

Its impact goal is to eliminate "medical deserts" by allowing city planners to model the exact impact of new clinics or transit routes on community health access scores before spending resources.

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SynthEquity's features include:

• Synthetic Population Generator: Generates datasets of 1,000,000+ rows that retain complex, non-linear relationships between variables (e.g., the correlation between "single-parent household" and "transit dependency"). Since the data is generated from noise distributions learned by the AI, it is mathematically impossible to "reverse engineer" a real individual from the dataset.

• Health Access Disparity Score (HADS): Uses a custom regression model that quantifies the health risk for every city block on a scale of 0 to 100. Unlike static maps, this score creates a live "surface" that reacts to changes in the environment.

• Interactive Intervention Simulator: An innovative dashboard where policymakers can drop markers for new resources, such as a "Proposed Mobile Clinic" or "New Bus Stop". The backend instantly recalculates the "distance to care" for thousands of synthetic households and updates the heat map to show how much that specific intervention reduces the community's disparity score.​

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CareTranslate is designed to restore connection in healthcare through empathetic, clear, and context-aware communication. It operates on the insight that health is relational, not just biological. To learn more about CareTranslate, see its website.

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Unlike standard translation tools, CareTranslate serves as a "Communication Bridge." It utilizes a novel Context Safety Framework to adapt medical explanations based on the patient's culture, age, literacy level, and emotional state.

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Healthcare miscommunication is a compound failure of four overlapping cognitive barriers. Current systems, such as human translators and standard apps, usually address only one barrier, still leaving critical gaps.

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These four gaps include: 

• The Clarity Gap: Adults overwhelmed by medical jargon often freeze or misinterpret instructions.

• The Emotional/Developmental Gap: Children fear procedures explained in adult terms; parents struggle to translate "clinical risk" into "safety" for their kids.

• The Cultural Gap: Diverse patients often feel judged or dismissed, leading to "unspoken" questions and isolation.

• The Safety Gap: Non-native speakers risk severe health outcomes due to literal mistranslations of medical context.

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To address the identified barriers, CareTranslate offers four distinct "modes": 

• Cultural Bridge: Provides context-specific guidance for sensitive conversations to build mutual respect.

• Kids’ Explanation: Uses narrative structures to reduce fear in pediatric patients.

• Medical Terms: A "simple-English" translator with an adjustable complexity slider. 

• Real-Time Translation: Clinical-grade translation for vital health info in over 20 languages.​​​