The Mount Sinai Center for Transformative Disease Modeling aims to develop novel insights on critical biological networks underlying the onset and/or progression of complex, multifactorial diseases such as Alzheimer’s disease, Parkinson’s disease, cancer, diabetes and infectious diseases.
Our goals are:
- To build upon these novel insights and accelerate the development of next-generation therapeutics.
- To use a number of research directions to support and facilitate multiscale network inference.
We have assembled a team of computational and laboratory research scientists to develop novel tools, reagents, methodologies, and strategies towards the integration of critical disease-related biological networks and network drivers into therapeutics discovery.
We are developing and using cutting-edge machine-learning and artificial intelligence technologies to integrate single cell and cell-type-specific multi-omics biological datasets, imaging features, small molecule drug libraries, and clinical information into integrative analytical models. These technologies will provide a better understanding of the fundamental questions about the genetic architecture and pathogenesis of complex diseases and further identify potential causal regulators or molecular drivers involved in etiopathogenesis that are likely meaningful therapeutic targets.
In parallel, we develop and implement in vitro and in vivo experimental models, such as human induced pluripotent stem cell models and animal disease models, to validate the identification of select molecular drivers as candidate therapeutic targets. This will potentially develop useful therapeutic lead compounds targeting the validated drivers. Collectively, our research mission will support the design of novel therapeutic trials for diverse complex diseases.