A distinção concedida a Isabel Moura, eleita a primeira mulher Membro Correspondente da Secção de Química da Academia, e a José Moura, passagem de Membro Correspondente a Membro Efectivo da Secção de Química, reflecte o merecido reconhecimento por uma vida dedicada à investigação científica e à divulgação internacional dos seus resultados.
The female team became the National University Team Champion for the fourth time, in a race in which NOVA equally took 2nd place. In turn, one of the three male teams enrolled won the 2nd place in the competition.
Marcos Cueto, a renowned historian of science and medicine, especially in Latin America, Europe and the United States, is the guest speaker at the 4th edition of the Distinguished Lectures CIUHCT, which will take place on December 10, at 17:00.
The team of researchers created minimalist models, produced with ordinary materials, using 3D printing and with a production cost of less than 1000 euros, which aims to respond to the urgent need to provide intensive care units with more ventilators for patients with COVID-19.
C-mo, a project developed by former students of Biomedical Engineering at NOVA School of Science and Technology, won in two categories at the 4th edition of the Altice Innovation Awards.
The team had the excellent performance of Ian Teixeira, Ielyzaveta Basysta, João Frazão, Patrícia Simplício and Tomás Correia students of NOVA School of Science and Technology.
Esta é a terceira edição deste prémio que pretende distinguir as mulheres que inovam, inspiram e transformam o setor como o conhecemos.
The evaluations, available here, are still ongoing and will end on the 21st, Saturday, at 00:00.
The NOVA School of Science and Technology has 16 scientific projects selected in the IC&DT Project Competition - Scientific Research and Technological Development Projects.
"The Direction of the Portuguese Urology Association has awarded an Honorable Mention for the outstanding quality of the project," it can be referred to in the statement.
The core objective of the COVOICE-19 project is the development of models based on Artificial Intelligence, more precisely Machine Learning, to support activities in the clinical contexts of rapid diagnosis and prognosis in suspected or detected cases of COVID-19, respectively