Please click on each project to view its specifications.
By combining a multidisciplinary team from the Health and Environment Research Centre at the School of Health of the Polytechnic Institute of Porto (CISA-ESS-P.PORTO) with know-how in natural compounds, synthetic chemistry, anti-tumor cytotoxicity screening and oncobiology, with the expertise of the Portuguese Oncology Institute (IPO-Porto), this project aims to identify new anti-tumor compounds targeting two of the most common and incident tumors in the North Region of Portugal, breast and the prostate tumors.
Extracts from plants, ionic liquids and quinoxalines obtained by CISA members in previous and on-going projects will be tested in vivo and in vitro as anticancer drugs to hormone-resistant tumors, namely androgen-independent prostate tumors and estrogen-independent breast tumors, and predict therapeutic response using biological samples. in order to contribute to the discovery of new anticancer agents.
Design of innovative strips to sense (Strip2SENSE) in point-of-care conditions that can contribute to improve the management of healthcare resources while simultaneously enhancing the quality of life and overall survival of cancer patients is a fundamental pursued goal.
Cancer biology and disease treatments are closely linked to coagulation processes, resulting in a frequent clinical problem due to the increased risk of cancer-associated venous thromboembolism (VTE). VTE is the second leading cause of death among cancer patients and dramatically worsens cancer prognosis. The rationale behind this project is thus the need to develop new technological devices to establish earlier and more accurate diagnoses of VTE, converging with the implementation of personalized therapies.
Strip2SENSE aims to deploy innovative disposable eco-friendly test strips to assess cancer patients for risk of developing or already presenting VTE, targeting future translation into clinical practice.
It is estimated that over 400 million people suffer from diabetes mellitus (DM), a chronic and progressive disease. The type 2 diabetes (T2D) is associated with metabolic abnormalities related to lifestyle such as obesity and physical inactivity. In recent decades there have been a lot of effort and investment to find biomarkers that allow early detection in preventive and prophylactic measures against this burden.
This proposal is based on the development of a biosensor to be used at the bedside for monitoring, early on, the metabolic changes towards that led to T2D promoting the improvement of education for health measures, disease prevention and decrease in mortality. The consortium involves P.PORTO (ESS and ISEP) and the Portuguese Diabetes Association APDP).
This project aims to propose and create a personalized cranial intelligent orthosis for deformational plagiocephaly. The technology to capture a 3D representation of an object is increasingly more accessible and reliable. This makes possible to capture a 3D representation of an object. Therefore, it is possible to use that representation for analysis of the object, in some cases it can help to identify medical conditions. Our task was to automatize the extraction of anthropometric measures from 3D point clouds of heads.
The measures will later be used to help the creation of an orthosis to treat positional plagiocephaly. Positional plagiocephaly is a condition characterized by an asymmetrical distortion of the cranium. A baby’s skull is not strong, so it can suffer deformations which cause plagiocephaly.
In severe deformations, to fix the problem, the baby may need to use an orthosis, that should be used when the baby has between 3 and 18 months of age. The orthosis will allow the head to grow gently back into a normal shape. This treatment must be done early, before the fontanelles closes and the cranium fuses together.
Project FishSensing main objectives are to establish a strong, highly skilled and proactive network on safety and quality of fishery products, through the development of electrochemical (bio)sensors for detection and quantification of key parameters. A (bio)sensor is an integrated receptor-transducer device, which is capable of providing accurate quantitative or semi-quantitative analytical information using a chemical or biological recognition element.
These (bio)sensors exhibit high sensitivity and selectivity, being disposable, portable and easy to use, allowing near real time monitoring of fish products across the food chain, therefore offering significant advantages in comparison to traditional analytical methods. These devices have the potential to be used by food processors, distributors, retailers and regulatory authorities, allowing key regulatory and food safety/quality parameters to be determined in situ and used for key decisions in food management. Their application will promote reduction of fish waste and has the potential of massive economic, social and environmental impacts.
The achievement of high throughput sensitive analysis requires innovative approaches that combine different research areas where the FishSensing project partners have competencies and expertise: ISEP on electrochemistry and (bio)sensor development; INL on electronic engineering and development of chips and platforms for signal transduction; IPL on fishery products safety and quality, and WEDOTECH on industrial R&D and technology transfer in the chemical and food engineering areas.
This project aims to assess the technical feasibility of crude glycerol gasification and glycerol/fat (leather industry waste) co-gasification. Crude glycerol will be gasified in a fixed bed reactor, after a pre-treatment by ion exchange to reduce salt content.
The effect of temperature, catalyst type, and oxidant agent/glycerol ratio will be studied. It is intended to set operational conditions to optimize all process on a thermal point of view to maximize H2 production. Glycerol/fat co-gasification will then be studied and operational conditions will also be set in order to enable the process. This project has several partners. INEGI will be responsible for mechanical design and manufacture of the necessary equipment. Pipe Masters will be responsible for new equipment manufacture and necessary adaptions. CTIC will provide fat and its characterization, as raw material.
Oil spills are catastrophic events for the marine Eco-systems. Due to increasing number of gas and oil off-shore explorations, the risk of having oil spills has increase dramatically in the last few years. Therefore, to develop Eco-friendly technology that can cope with this problem, and allow a safer and immediate combat when an oil spill event occurs is something that the scientific community should address.
The ROSM - Robotic Oil Spill Mitigation addresses the research and development of technology that allows to detect and mitigate oil spills in marine environment. The ROSM project envisions to advance the state-of-the-art in two distinct scientific areas:
(i) Development of a new biotechnological tool that takes advantage of the highly effectiveness of native microbial consortia to bioremediate oil spills, and by doing that we will potentiate microbial survival and bioremediation efficiency in the affected areas, while avoiding environmental issues derived from the introduction of non-native organisms. In addition, we intend to develop an integrated and holistic solution for bioremediation, including a library of native microbial consortia for bioremediation, the optimization of production of selected cooperative consortia, and cocktails of nutrients to stimulate the consortia activity.
(ii) For this biotechnology to be effective, one must use vehicles (carriers) that can transport the agents native microbial consortia, but at the same time be able to operate in hazard remote areas in an autonomous manner. Detect and inspect the most troublesome areas to be able to contain and release the bioremediation agents load in a more effective manner. To do so in ROSM, Unmanned Aerial Vehicles and Unmanned Surface Vehicles are used to carry and release the bio-agent capsules. The autonomous systems are able to autonomously detect and navigate through the oil spills based on their sensing mechanisms in order to effectively solve the problem.
The ROSM project will use an autonomous surface vehicle, capable of operating in oil spill areas. Developing perception methodologies and algorithms that allows the surface vehicle to act as a home-relay for VTOL take-off and landing. The autonomous vehicles will use their pose and attitude sensors to geo-reference and mark the oil spills areas to the humans safety operators. Releasing the capsules with centimeter accurate positioning. To demonstrate and evaluate the performance of the proposed scientific approach. Different components will be tested both in laboratory and in extensive field trials. A fully demonstration trial in quasi real scenario is envisioned to test the system.
TheRoute aims to conduct studies, research and experimentation around the challenge of automatic generation of routes for visitors to points of interest related with Tourism and Heritage of North of Portugal. Suggested routes should fit the profile of visitors, be aware of the context (eg weather), and developed around a location (urban or rural) or path (Santiago Route or Douro) or around a theme (musician, writer).
TheRoute will take into account mobility between points of interest (sustainability), inherent constraints (schedules, accessibility) and issues related to health and well-being. Artificial Intelligence algorithms will be considered and tested. The consortium involves the eight schools of P.PORTO, the Polytechnic of Viana do Castelo, and the enterprise operating in tourism Douro Azul. Stakeholders like Associations and Enterprises for Tourism and Heritage will be invited to have open access to the results of TheRoute.
The energy costs of public lighting amounts to 50% of the municipalities' expenses with energy. If municipalities simply deactivate fixtures in order to reduce costs, a decrease of PL quality will occur, affecting the safety of drivers and pedestrians and increasing the likelihood of accidents and crime.
The aim of this proposal is to develop an intelligent Energy Management System in the form of a Decision Support System. It will integrate various data sources, to be able to identify and define how to act in many different sources of energy consumption in order to ensure their optimization and proper management.
It will automate routinized tasks and improve human decision making. Our goal is to provide a market solution which enables the reduction of energy costs and, on the other hand, a more efficient and correct equipment management while maintaining the safety and comfort of drivers and pedestrians. Significant impacts are expected at an economic, environmental and social level.
CONTEST focuses on providing effective solutions to enable the widespread of Distributed Energy Resources (DER), namely Renewable-Based Generation (RBG), Demand Response (DR) and Energy Storage Systems (ESS) enabling to catch their potential to increase the overall energy efficiency and economic and energetic sustainability.
The main objectives are:
- To undertake the required applied research and technological development activities that create the basis for the implementation of a fully transactive energy system, through the integration of local Electricity Markets (EM) in the current market structure. Advances of Smart Grids (SG) are used as departing point to promote the emergence of market-driven local energy communities.
- To explore the aggregation concept as an enabler to accomplish goals that are virtually impossible to attain individually. Aggregation is used to benefit from the complementarities of heterogeneous resources and players and from the similarities of the aggregated resources and players; and to have access to products and services with high added value. Aggregators are envisioned by CONTEST as the main connectors between local communities and wholesale EM, by establishing the necessary links that enable small sized resources to have indirect access to wholesale market transactions. Innovative aggregation methods using Artificial Intelligence (AI) and Data Mining (DM) techniques will be developed.
- To develop the means to enable small players to benefit from market opportunities. This is envisioned through the definition of advanced dynamic energy tariffs and remuneration schemes, which will transmit the local and wholesale market value to the small players.
- To experiment and validate the developed business models and methods in a laboratorial prototype. The models and methods developed by CONTEST will be integrated in a simulation platform existing in GECAD/ISEP, which combines multi-agent simulation with physical control of energy resources, and addresses the complementary fields of EM and SG.
Besides ISEP’s relevant background in the project field, CONTEST will also benefit from the participation of VPS, an energy services provider with a large experience in dealing with consumers’ energy use habits; and Energaia, a Municipal Energy Agency that brings an important experience in managing public buildings and in policy making.
This project is in line with national and regional RIS3 priorities, namely in the application and development of advanced and complex systems to potentiate the emergence of intelligent energy networks. The expected advances in SG and the development of a transactive environment for local energy communities contribute to the efficient use of RBG and to increase the efficiency in the final energy use. Two H2020 societal challenges are also addressed, namely, Climate action, environment, resource efficiency and raw materials; and Secure, clean and efficient energy.