Percorrer por autor "Monteiro, Ricardo Luís Carvalho"
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- Design and development of process control and management application for pre-clinical laboratoriesPublication . Monteiro, Ricardo Luís Carvalho; Domingues, Nuno Alexandre Soares; Matutino, Pedro Miguel Florindo MiguénsAbstract The use of generic information recording and control software such as Excel is still prevalent in many biomedical research laboratories and clinical practices. With the advance of web technologies and databases, Laboratory Information Management Systems (LIMS) based on these technologies have emerged in recent decades to facilitate laboratory management. This project consists in the development of a web application prototype to be applied to the management and control of the workflow of a laboratory dedicated to immunotherapy research and clinical practice (Mauerer lab, Champalimaud Foundation). The application has been named coley, in honor of William B. coley, one of the pioneers of immunotherapy. The development of the proposed application will be based on open-source tools. The project consisted on the conception, develpment and implementation of a simple web application to implement, consisting on a graphic interface, backend and a database. For the graphic interface, is implemented in ReactJS, a well-known open-source frontend library based on JavaScript, created by Facebook. The backend side uses the Django library, based on the Python language. The DataBase Management System (DBMS) is deployed in PostgreSQL engine. The use of the tools enabled the development of a simple laboratory information management system, which allows users with different roles in the system to register samples and control their respective subsamples, namely, cuts. This feature is essential for tracking and controlling sample results. For each cut it is possible to upload a result in xlsx format, corresponding to a test carried out on the cut, allowing results to be recorded and downloaded quickly and centrally. Future developments could include functionalities such as data analysis, trial creation and user performance control.
- Design and development of process control and management application for pre-clinical laboratoriesPublication . Monteiro, Ricardo Luís Carvalho; Domingues, Nuno Soares; Matutino, Pedro MiguensABSTRACT The use of generic information recording and control software such as Excel is still prevalent in many biomedical research laboratories and clinical practices. With the advance of web technologies and databases, Laboratory Information Management Systems (LIMS) based on these technologies have emerged in recent decades to facilitate laboratory management. This project consists in the development of a web application prototype to be applied to the management and control of the workflow of a laboratory dedicated to immunotherapy research and clinical practice (Mauerer lab, Champalimaud Foundation). The application has been named coley, in honor of William B. coley, one of the pioneers of immunotherapy. The development of the proposed application will be based on open-source tools. The project consisted on the conception, develpment and implementation of a simple web application to implement, consisting on a graphic interface, backend and a database. For the graphic interface, is implemented in ReactJS, a well-known open-source frontend library based on JavaScript, created by Facebook. The backend side uses the Django library, based on the Python language. The DataBase Management System (DBMS) is deployed in PostgreSQL engine. The use of the tools enabled the development of a simple laboratory information management system, which allows users with different roles in the system to register samples and control their respective subsamples, namely, cuts. This feature is essential for tracking and controlling sample results. For each cut it is possible to upload a result in xlsx format, corresponding to a test carried out on the cut, allowing results to be recorded and downloaded quickly and centrally. Future developments could include functionalities such as data analysis, trial creation and user performance control.