SOURCE-LINKED INTELLIGENCE

Building REsilience against MEntal illness during ENDocrine-sensitive life stages

CORDIS · observation · Publication date unknown

ife stages; iii) complementing epidemiological with experimental studies to establish correlative and causative links leading to mechanistic understanding; iv) using advanced biostatistics as well as machine learning and artificial intelligence for data integration and biomarker and drug target discovery; v) combining the biological approaches with communication science studies to efficiently translate its results to societal impact. Ultemately, RE-MEND will result in: i) Significantly increased mental health literacy among stakeholders and citizens; ii) Validated biomarkers for assessing mental health state and its predisposition as well as more accurate diagnoses and personalised preventive and therapeutic measures; iii) Recommendations for early detection, better prevention, and drug design strategies to protect vulnerable individuals from mental illness in sensitive life stages; and iv) strategies on how these advances can be used to decrease stigma and increase prevention behaviour. Endocrine signalling, gene-environment interaction, population-based data, brain organoids, mult

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

10868221.25

unit

EUR