DEEP TECH FOR SOCIAL IMPACT: FOR SUSTAINABLE HEALTHCARE AND EDUCATION

This study focuses on deep technology that addresses key healthcare and education issues. In healthcare, there are problems of timely or correct diagnosis of a disease, whereas in education, there is a lack of standardization in pedagogy.

Biotechnology and genomics aid in precise molecular diagnosis and treatment in healthcare. Artificial intelligence, machine learning, and robots assist in the development of adaptive learning environments for education. In healthcare, there exists a case study where AI helps diagnose cancer at its initial stages. In turn, patient prognosis improves significantly. Khan Academy is one practice example under artificial intelligence and machine learning, which aids in delivering learning materials across the globe, thereby extending learning beyond geographical and financial barriers.

These interventions are aimed at increasing the precision and speed of diagnosis in healthcare, as well as skill-based education. In addition, the applications provide evidence of increased access, convenience, and equity in essential public service provision. The findings also emphasize the need to further invest in technological innovation, thereby advancing health and educational outcomes while encouraging equitable access to empowering technology for diverse populations.