March 2024

Cambridge Cognition announces scientific advisory board

Cambridge, UK – 21 March 2024: Cambridge Cognition, a leader in digital health solutions for brain health assessment, announces the formation of a Scientific Advisory Board (SAB). This expert board will provide scientific guidance and valuable market insights, primarily focusing on addressing emerging trends such as the integration of blood-based biomarkers and the collaborative possibilities […]

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Digital measures to advance research & quality of life in schizophrenia

Schizophrenia spectrum disorders are complex and serious psychiatric disorders with multifaceted symptoms and associated difficulties, including psychosis, negative symptoms (e.g., loss of motivation), cognitive dysfunction, and functional impairment in major life areas. This multifaceted clinical picture in schizophrenia is also heterogeneous, both across individuals and within individuals over time, posing a challenge for studying groups

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Prediction of mental effort derived from an automated vocal biomarker using machine learning in a large-scale remote sample

Biomarkers of mental effort may help to identify subtle cognitive impairments in the absence of task performance deficits. Here, we aim to detect mental effort on a verbal task, using automated voice analysis and machine learning. Nick Taptiklis, Merina Su, Jennifer H. Barnett, Caroline Skirrow, Jasmin Kroll, Francesca Cormack  Audio data from the digit span

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