Potential Impact

Explore the transformative potential of EpyDiagnosis in the early detection and treatment of lung cancer. With our AI-driven platform, we’re setting new standards for accuracy and efficiency in diagnostics, striving to improve survival rates and quality of life for patients worldwide.

The Cost of Waiting

Average waited time for treatment

Average Cost of Lung Cancer Treatment Per Capita (USD)

Average radiologists per 100,000 inhabitants

EpyDiagnosis

Average analysis time per case (SENCODS)

The accuracy of the model (%)

Average Detection and Localization for Lung Cancer (CASES/HOUR)

INTERNATIONAL EXPANSION

To choose the next countries where EpyDiagnosis will be available, we took into consideration: 1) geographies with a high incidence of lung cancer, 2) countries with health systems that are receptive to technological innovation, 3) countries with health cooperating agreements/partnerships with Mexico.

Argentina

● Argentina has a high incidence of lung cancer, representing a significant opportunity for implementing early detection tools. ● Argentina and Mexico have health cooperation agreements, which could facilitate collaboration on medical technology projects. ● Interest in incorporating innovative technologies into its health system. ○ Downsides: Distance

Brazil

● Brazil has a high incidence of lung cancer, underscoring the need for early detection solutions. ● As the most populous country in Latin America, Brazil represents a significant market for the expansion of innovative health solutions. ● Brazil has shown progress in the field of medical technology and could be open to collaborating on health innovation projects. ○ Downsides: Language barrier

Chile

● Chile has a high incidence of lung cancer in Latin America, indicating a significant need for early detection solutions. ● Chile has a relatively advanced health system and is open to adopting new technologies in the medical sector. ● Chile and Mexico have collaborated on various aspects of public health, which could facilitate the implementation of EpyDiagnosis in Chile. ○ Downsides: Distance

Colombia

● Colombia has a moderate rate of lung cancer incidence, representing an opportunity for implementing early detection tools. ● Colombia and Mexico have collaborated on various aspects of public health and have cooperation agreements, which could facilitate the implementation of joint health projects. ● Colombia has shown interest in technological innovation in the health sector, which could provide a favorable environment for the adoption of Epydiagnosis.

Peru

● Peru has a growing incidence of lung cancer, underscoring the need for early detection tools. ● Peru has collaborated with Mexico on health issues, which could be a basis for future alliances in medical technology projects. ● Peru is actively working on improving its health system, which could include the incorporation of innovative technologies for disease detection and prevention.