Funding Institution: FONDECYT
Amount : 85,500.00 PEN
PI UTEC: Dr. Julio Valdivia (firstname.lastname@example.org)
Design and implementation of a non-invasive wearable system capable of early detection of breast cancer through the use of microwave imaging technology
This project uses electromagnetic waves emitted by micro antennas located in a bra that is easy to put on for the patient, the presence of possible breast tumors is detected based on the dielectric constant that is different compared to healthy tissue. This device emits weak waves and is intended to be used in rural areas or in areas where complex equipment such as mammography does not exist. In this way, the equipment will serve for a rapid detection that alerts the doctor or health personnel to refer the suspected patient to a more specialized health center. Detection of breast cancer is vital in its early stages and this completely innocuous kit could help in its detection. UTEC and UCSP are on the way to improve this system by developing machine learning tools and artificial intelligence algorithms.
Funding Institution: FOREST TRENDS
Amount: 15,000 USD
PI: Dr. Pedro Rau (email@example.com)
Course in identification and formulation of water regulation ecosystem service recovery projects
Capacity building project for decision makers within the framework of the Natural Infrastructure for Water Security (INSH) project belonging to the consortium made up of Forest Trends, CONDESAN, SPDA, EcoDecisión and Imperial College London. UTEC - CITA was responsible for preparing and delivering a series of trainings in the modules of identification and formulation of water regulation ecosystem service recovery projects, in conjunction with JS Consultores. Being 14 working groups, including 7 regions of Peru with more than 70 participants trained in mountain hydrology issues and support of technologies for the recovery of water regulation ecosystems.
Funding Institution: SECOSAN
Amount: 250,000 USD
PI: Dra. Mónica Santa María (firstname.lastname@example.org)
Development of an early warning tool based on wastewater monitoring from the sanitation sector
This project aims to develop an early warning tool that allows knowing the incidence of COVID-19 in the towns of Metropolitan Lima, Callao and Metropolitan Arequipa from the determination of the SARS-CoV-2 virus in wastewater. The project includes the development of a monitoring plan and the constant analysis of wastewater at different monitoring points in primary collectors and wastewater treatment plants. The advantage of this monitoring strategy is that it allows detecting the virus from asymptomatic, pre-symptomatic, and sick people in a more comprehensive and cost-efficient way.