MEDIASRES

Novel Statistical Methodology for Diagnostic/Prognostic and Therapeutic Studies and Systematic Reviews

 Partecipanti

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

'Novel statistical methodology promises to greatly facilitate development of approaches for personalised medicine. While state-of-the-art statistical techniques have already advanced clinical trials and diagnostic/prognostic studies as the major source of evidence in clinical medicine, increasing availability of molecular techniques holds an even greater promise. However, for leveraging such information for individualised diagnosis/prognosis, and treatment, the corresponding complex structures have to be adequately modelled and results have to be aggregated by corresponding advanced meta-analytic approaches. The main goal of the project is to establish a joint research-training programme by an interdisciplinary and intersectorial network for providing early-stage researchers with deep insight into cutting-edge statistical methodology. The research area of statistical methodology for diagnostic/prognostic and therapeutic studies and systematic reviews is well suited for early-stage training purposes, as it comprises a wide range of theoretical and applied biostatistical tools that need to be mastered, further developed, and translated into clinical research and practice. Europe-wide exchanges will also be ensured to meet the need for mobility in today’s globalised society. Further career relevant knowledge and skills will be provided through a structured design of education. The early-stage researchers will be trained according to an individually supervised, comprehensive and complementary programme. The structure of these activities is based on the training-through-research approach of the network. The collaboration of leading biostatistical experts will stimulate the discovery of promising statistical methodology useful for the design and analysis of clinical research. The integration of full industry partners and clinical advisors in the network enables optimal conditions for research driven by application, which will ensure tangible benefits of the programme.'

Introduzione (Teaser)

The availability of molecular techniques has paved the way for personalised medicine. An EU-funded project offers a research training programme combined with sophisticated statistical methodologies.

Descrizione progetto (Article)

Personalised medicine, or individualised diagnosis, prognosis and treatment, has improved the quality of care, but has made it harder to conduct meta-analyses on disease courses and treatment. An EU-funded project, 'Novel statistical methodology for diagnostic/prognostic and therapeutic studies and systematic reviews' (http://www.mediasres-itn.eu (MEDIASRES)), is a new international PhD programme that combines state-of-the-art research with comprehensive research training to encourage young scientists to develop novel ways to study diseases in today's world.

The main goal of the project is to build a joint strong training programme for early-stage researchers (ESRs) by establishing an interdisciplinary network. The ESRs will be trained by network partners to utilise and explore new research methodologies, such as longitudinal studies, time-to-event data, regression models, and pharmacokinetic/pharmacodynamic modelling that consider genomic or molecular data. Another project goal is to conduct outreach programmes to add to the network of researchers and trainees.

Thus far, the project has been successful in building a training network. The first two years consisted primarily of training efforts, with courses on statistics, methodologies and measures conducted by renowned statisticians and researchers. Online trainings were also utilised to expand the reach of the programme and allow later-stage researchers to continue their education.

The project has the added benefit of teaching ESRs how to tackle challenging problems and translate biostatistics into medical research. ESRs can then translate biomedical research findings into clinical medical practice.

MEDIASRES has the potential to build wide professional networks throughout Europe and beyond. This network can enhance research through further collaboration. The project also will open doors for ESRs to expand the field of research and develop or modify techniques to fit the evolving nature of science and medicine.