23 February 2022

Ana Luísa Correia awarded 2022 Pfizer Research Prize

Ana Luísa Correia joined the CF in December 2021. Prior to that, she worked for several years at the Basel University Hospital in Switzerland. During her stay there, she made breakthrough discoveries with potentially important therapeutic implications. She intends to pursue this line of work at the CF.

10 February 2022

Getting Excited Twice

Learning new motor skills is a critical aspect of our lives. From playing the piano to riding a bike, it would be difficult to imagine life without it. But how does the brain do it? A new study published in the scientific journal Science Advances sheds light on a newly discovered brain circuit that may endow us with this remarkable ability.

06 January 2022

2021 Champalimaud Research Graduates

Francisco Romero

 

What was your thesis question and what did you find?

My original thesis question was ‘How do we read mental states from facial expressions?’ However, a few months after presenting it, my PhD project changed 180 degrees and the final question ended up being ‘How can deep learning help to understand collective behaviour in zebrafish?’ We found that deep learning is a very po

30 December 2021

Zoom-In on Champalimaud: The Reunion

But there’s more! During the interview, they also told us about great places to visit, cool music, fascinating podcasts and other discoveries they made this year. We couldn’t fit everything in the final cut, so we’ve listed their top recommendations below.

To view all 2021 individual episodes, tune in to the Zoom-In on Champalimaud YouTube playlist.

22 December 2021

Follow your nose

Smell has the power to transport us across time and space. It could be the sweet fragrance of jasmine, or the musty scent of algae. Suddenly, you are back at your childhood home, or under the burning sun of a distant shore.

This association between smells and places seems to be a deeply embedded aspect of human cognition. But how are the two linked in the brain? A study published today (December 22nd) in the scientific journal Nature presents a potential explanation.

21 December 2021

Biotech Company Co-Founded by Champalimaud Foundation Scientist Receives Prestigious European Innovation Council Grant

A series of landmark studies by Henrique Veiga-Fernandes, Director of the Champalimaud Cancer Research Programme, led to the formation of LiMM Therapeutics in 2018. The young company is geared towards generating first-in-class therapeutic products for cancer, inflammatory, and metabolic diseases. 

09 December 2021

Daniel McNamee

Once in a while, we hear that the Physics world is overjoyed with the discovery of a new elementary particle, often decades after theoretical models have predicted its existence. But Neuroscience news has a different stroke, with novel insight mainly emerging through experiments. Can theoretical approaches also provide testable predictions about how the brain works? 

09 December 2021

Ana Luisa Correia

Nearly all types of cancers have the potential to form metastatic growths. However, the exact moment when metastasis emerges is highly variable. While some patients develop metastatic disease soon after the primary tumour appears, others can see decades pass before it happens. What is the source of this variability? 

24 November 2021

Science on the Walls

A team of researchers from the Champalimaud Foundation partnered with a group of street artists and created a set of artistic-scientific workshops that will take place during the afternoon of Saturday, 27th November, at the Junta de Freguesia das Águas Livres, in Cova da Moura - Amadora, open to all children and teenagers from this neighbourhood.

08 November 2021

Artificial intelligence could extract a wealth of quantitative data from medical images for the benefit of cancer patients

When analysing medical images, it is important to understand that they are more than pictures, they are data – and that a large amount of this data is not visually available. This means that a purely qualitative, visual analysis of these images may have variable interpretations and may not be enough to capture the heterogeneity within the structure being imaged. 

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