Microsoft and Mexican university Tecnológico de Monterrey have partnered to promote scientific research, for example by supporting genome studies that can aid in the prevention, diagnosis and treatment of the most common diseases in the country.
As part of the agreement, Tecnológico de Monterrey will now have access to the solutions and services of Microsoft’s AI for Good programme, including cloud, artificial intelligence and data analysis capabilities.
“At Microsoft and Tecnológico de Monterrey we share the mission of creating value for people and society through innovation, science, research and technology,” said Juan Pablo Murra Lascurain, rector of professional and postgraduate studies at Tecnológico de Monterrey. “This new agreement builds on the extensive relationship and collaboration between our institutions.”
Several research areas will benefit from the partnership, including the real-time identification of kidney stones through uteroscopic imaging and deep learning, the creation of a system for the recognition of gastrointestinal diseases, and the early detection of psychological conditions. The organisations will also provide support to the OriGen project – an initiative which aims to gather deeper knowledge of the genetic components associated with the most common diseases in Mexico.
“At Microsoft we are committed to making technology an enhancer of human capabilities, an objective that reaches great value and relevance when it is concentrated to address major global problems,” said Rafael Sánchez, general director of Microsoft Mexico. “Working hand in hand with Tecnológico de Monterrey, we see a promising future for the health of Mexicans, and we believe that, through the use of the right digital solutions, they can find an optimal and promising path towards a Mexico better prepared in the prevention, diagnosis and treatment of diseases. It is a mission in which technology plays a fundamental role to build well-being in the country.”
In addition, the collaboration also includes projects related to urban planning, internet of things, data analysis for smart cities and air pollution analysis.