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Adaptive Brain Lab

 

Research Associate position in Neuro-Clinical Data Science at the Adaptive Brain Lab (Univ of Cambridge; http://www.abg.psychol.cam.ac.uk) as part of an exciting project that will focus on translating AI-guided tools for early detection of brain and mental health disorders to clinical practice (healthcare, clinical trials). The research will involve working on research cohort and clinical data, applying machine learning models to synthesise biological (brain imaging, genetic) and cognitive, epidemiological data, validating AI-guided tools in clinical data, translating these tools for adoption in healthcare and industry settings.  Our work on early prediction of dementia has already gathered significant media interest (e.g. https://www.bbc.co.uk/news/health-57934589) and has the potential for transformative applications into clinical practice.

Application deadline: 10th July 2022.

https://www.jobs.cam.ac.uk/job/35410/

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Newly Published Paper

9 September 2024

New multimodal brain imaging study reveals a recurrent inhibitory plasticity mechanism that enhances sensory representations and optimises perceptual decisions. Jia K, Wang M, Steinwurzel C, Ziminski JJ, Xi Y, Emir U, Kourtzi Z. Recurrent inhibition refines mental templates to optimize perceptual decisions. Sci Adv. 2024...

Can AI help detect dementia early and accelerate drug discovery?

15 July 2024

Our cross-disciplinary team has developed new tools that predict dementia more precisely than the standard of care https://www.cam.ac.uk/research/news/artificial-intelligence-outperforms-clinical-tests-at-predicting-progress-of-alzheimers-disease https://youtu.be/FnDsNw57kuA A digital marker powered by AI detects dementia...

Newly Published Review Paper

21 June 2024

New review paper by @CambridgeABL on opportunities and challenges of training cognitive flexibility in real-world settings https://doi.org/10.1016/j.cobeha.2024.101413 @CambPsych @CamNeuro @CamBrainCNS