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AIPD – AI In Parkinson’s Disease

AI in Parkinson’s Disease (AIPD) is a Marie Skłodowska-Curie Joint Industry-Academic Doctoral Network. AIPD will train a group of 14 Doctoral Candidates in an intersectoral, international and interdisciplinary setting with the aim to educate the next generation of medical data scientists. Our program stands out by a strong translational focus bridging academia and industry. PhD candidates will benefit from:

Harnessing the therapeutic potential of FKBPL in Parkinson’s Disease

Parkinson’s Disease (PD) is the second most frequent, degenerative neurological condition affecting up to ten million worldwide and occurs through loss of dopamine-producing neurons. PD etiology/pathogenesis remain incompletely understood, however, mitochondrial dysfunction, protein aggregation and neuroinflammation play a role in PD development.

LINGO1 a novel regulatory subunit of BK channels implicated in tremor

Parkinson’s disease is a debilitating disorder characterized by uncontrolled limb shaking (tremor), slow movement, dementia and depression. It is the second most common age-related neurodegenerative disease affecting ~10 million worldwide, yet the causes of tremor are poorly understood and treatment is wholly inadequate. Tremor is linked to proteins called ion channels. These tiny molecular pores are studded into the cell membrane, permit the flow of ions through it and help to control nerves.

Validating artificial intelligence ratings of video-derived and wireless monitor data from people with Parkinson’s Disease

This study focuses on finding better ways to assess and manage Parkinson's disease. The study aims to validate two machine learning algorithms, developed respectively by PragmaClin Research Inc., and researchers at the Tyndall Institute in collaboration with the Centre for Gerontology and Rehabilitation at University College Cork (UCC). These algorithms are both designed to analyse data collected from video recordings and wearable devices to provide a rating of PD symptom severity.

The Role of Lingo1 and BK Channels in tremor

Parkinson’s disease is a debilitating disorder characterised by movement disorders, including tremor, cognitive dysfunction and non-motor impairments. It is the second most common age-related neurodegenerative disease with ~10 million sufferers worldwide, but the causes of tremor are poorly understood and treatment is wholly inadequate.

PD-MitoQUANT – A quantitative Approach towards the Characterisation of Mitochondrial Dysfunction in Parkinson's disease (PD).

Project Aim(s): PD-MitoQUANT is an Innovative Medicines Initiative (IMI)Innovative Medicines Initiative (IMI) (www.imi.europa.eu) project that brings together academic experts, small and medium enterprises (SMEs), pharmaceutical companies from the European Federation of Pharmaceutical Industries and Associations (EFPIA)European Federation of Pharmaceutical Industries and Associations (EFPIA) (www.efpia.eu) and patient advocacy organisation Parkinson’s UKParkinson’s UK (www.p

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