Predicting treatment resistance in schizophrenia patients

Predicting treatment resistance in schizophrenia patients

Schizophrenia is a severe and often debilitating mental disorder. While antipsychotic medications aim to alleviate the symptoms, about a third of patients with schizophrenia are treatment-resistant. Dr Olesya Ajnakina, a Research Fellow at King’s College London, combines state-of-the-art methods in statistical analyses, such as machine learning, to develop prediction models aiming to identify patients at risk of developing treatment-resistant schizophrenia, […]

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Decision making under uncertainty: Ambiguity preferences

Decision making under uncertainty Ambiguity preferences

We all face daily decision making under uncertainty. Everyone has a different tolerance for the level of risk that they are comfortable accepting and the amount of uncertainty they are happy to make decisions within, which is also known as their ambiguity preference. Traditionally, ambiguity preferences have been measured in economic laboratory environments using complicated and time consuming tasks. As […]

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Designing catalysts bit by bit

Prof Johnston and Dr Baletto use computational techniques to design and tailor nanomaterials, focusing on nanoalloys and their catalytic properties.

Catalysis, using reagents to speed up chemical reactions, is big business. From synthesising new chemicals to cleaning up the exhaust fumes from cars and sustainable energy devices such as hydrogen fuel cells, catalysts play a huge role in our daily lives. Prof Roy L. Johnston and Dr Francesca Baletto at the University of Birmingham and King’s College London respectively are using novel computational approaches […]

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