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Drug Development.

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December 2024

Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Background: The ability to monitor cognitive trajectories over the course of trials can provide valuable insights into treatment efficacy. However, existing trial methods are limited in monitoring cognition in real-time and at high frequencies. Gameplay-based assessments hold promise as complementary cognitive tools.

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Dementia Care Research and Psychosocial Factors.

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Relecura, Bangalore, karnataka, India.

Background: Clinical Dementia Rating (CDR) and its evaluation have been important nowadays as its prevalence in older ages after 60 years. Early identification of dementia can help the world to take preventive measures as most of them are treatable. The cellular Automata (CA) framework is a powerful tool in analyzing brain dynamics and modeling the prognosis of Alzheimer's disease.

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Background: The prohibitive costs of drug development for Alzheimer's Disease (AD) emphasize the need for alternative in silico drug repositioning strategies. Graph learning algorithms, capable of learning intrinsic features from complex network structures, can leverage existing databases of biological interactions to improve predictions in drug efficacy. We developed a novel machine learning framework, the PreSiBOGNN, that integrates muti-modal information to predict cognitive improvement at the subject level for precision medicine in AD.

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Dementia Care Research and Psychosocial Factors.

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Department of Psychology & Language Sciences, University College London, London, United Kingdom.

Background: Dysphagia is an important feature of neurodegenerative diseases and potentially life-threatening in primary progressive aphasia (PPA), but remains poorly characterised in these syndromes. We hypothesised that dysphagia would be more prevalent in nonfluent/agrammatic variant (nfv)PPA than other PPA syndromes, predicted by accompanying motor features and associated with atrophy affecting regions implicated in swallowing control.

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Background: Current off-the-shelf technologies contain functionality which can support everyday cognition, such as storing telephone numbers and calendar reminders. These functions can benefit everyone, including people living with dementia. However, knowledge is limited about people living with dementia acquiring and using existing technologies and whether or how they are utilizing these functions.

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