NeuroInsight · Advanced skills for data analytics in neurological diseases

Advanced skills for data analytics in neurological diseases

The NeuroInsight Marie Skłodowska-Curie COFUND Action Fellowship programme, led by RCSI, offers a combination of Incoming and Global, 24-months fellowships. We aim to recruit 33 Experienced Researchers (ERs), working at the interface of the two, world-leading Science Foundation Ireland (SFI) Research Centres; FutureNeuro and Insight. The vision of NeuroInsight is to deliver a future generation of research leaders equipped with the skills to assemble, integrate and analyse(using machine and deep learning), a wide variety of data types to yield novel insights into high-definition precision medicine for neurological disorders. We offer to all Fellows programme-wide training in aspects of relevance , including advanced research skills, transferable skills and experience in other sectors including in industry and or/clinical settings. NeuroInsight intersectoral partners (industry, clinical and patient groups) take an active part in the Fellows’ progression, through compulsory intersectoral secondments, clinical events, interdisciplinary short visits and specialized training. NeuroInsight is patient-focused, prioritising their needs in training activities and research. The NeuroInsight research themes (Ethnographics; Advanced Analytics; Genomics, Patient Impact) facilitate the application of machine and deep learning to large and growing datasets, in a manner that improves our understanding of human disease and ultimately, informs better healthcare. The ability of AI to detect patterns from large, complex datasets holds great promise for the datasets that FutureNeuro and other neuroscience researchers are producing. Patient participation is fundamental to the sustained collection of rich data and NeuroInsight incorporate co-design with PPI contributors at project concept as well as implementation stages. The first NeuroInsight theme is focused on understanding how people affected by neurological disease view data collection and sharing. This complements the second and third themes; advanced analytics and genomics, in precision medicine. The final theme (patient impact) is focused on more effective and efficient healthcare provision, using, where relevant (e.g. second intake of Fellows), findings that have emerged from other themes. In this context, cross-theme touch points exist that offer excellent interdisciplinary opportunities for coordination and synergies with large European research programmes. As health-related datasets grow and become available for analysis and as new wearable and other sensors can generate even more patient data, significant opportunities are created for the application of machine learning, AI and other analytical approaches. Such analysis can help address questions related to the development of new treatments and inform on more efficient and effective running of our health care systems. In addition, through connected health initiatives, remote monitoring of patients outside of hospital facilitates, self-management and targeted intervention can become a reality. The net result of NeuroInsight will be research leaders equipped to transform the patient journey for people with chronic and rare neurological conditions.

Data: CORDIS, © European Union