Fusing Genomics and
AI for Therapy Evaluation
Precision Oncology
Molecular profiling becomes crucial due to the heterogeneous nature of tumors. This helps to interpret the involvement of genomic variants in the cause or development of individual cancer. Our comprehensive frame tracks the cell-specific and genome-specific modification which can assist the clinicians and doctors to come up with an appropriate clinical decision. Due to the advancement in computational genomics, we provide personalized malignancy profiling for the patients where the genome-wide transition can be observed.
At the molecular level, cancer is caused by mutations. DNA-methylation, Histone modification, and other epigenetic factors also play an important role. In essence, any factor promoting uncontrolled proliferation can be a cause of cancer. Be it changes in, or inactivation of tumor suppression genes (TSGs), or be it mutations in proto-oncogenes.
However, all these activities affect the phenotypic traits of the disease. Gene expression is one of those phenotypic traits that can be easily measured and can be used to decipher many hidden conditions.
Methodology
GenterpretR is leading pioneering research for the application of multiple AI models leveraging vast data sets of anonymized patient genomes and efficacy of cancer therapies. Cancer is our first target but this methodology has direct applicability to many other diseases.
Precision medicine for viral Infections (Nantes Univ HAP/COVID)
Research of AI-DRIVEN MODELING OF COVID-19 SEVERITY
GenterpretR is assisting University Hospital - CHU de Nantes researchers to model disease severity in patients with the severe acute respiratory syndrome corona-virus 2 (SARS-CoV-2). We are leveraging AI and statistical methods to associate clinical indicators with multi-omic readouts including blood metabolomic and proteomic, cytokines, respiratory microbiome profiles.
GiOS - An Operating System for Genomics Intelligence and Precision Medicine
Our efforts are directed towards standardizing, serializing, and automating the practices involved in extracting intelligence from the human genome. We envision different genomic aspects of clinical and medical research as subsystems of our operating system. A seamless design for plugging/unplugging new research comes with great benefits such as faster result generation and validation of studies.
With the help of recent advancements in federated learning (an emerging field in AI) and cloud technologies, the operating system aims to solve the data crunch in genomic research. GiOS can enable experimentation and learning on the data available on the deep web thus, helping researchers, doctors, and clinical practitioners push the SOTA of healthcare.
Everything is connected
Multiomics research - Genotype and Phenotype relation
Here at GenterpretR, our ambition aligns with having an ecosystem in place where we can collect and process patient data from different omics, such as genotype, other species of molecules, phenotype, epigenetic, proteomic, surface receptors and proteins, varients callers, etc. and can establish inter-explainability of different traits.
We also direct our efforts to explain how genotypic changes can affect its phenotypic counterparts: DNA/RNA - [ Gene Expressions Specifically ]; Proteins; Metabolites/Cytockins etc..
Everything in numbers
The most ambitious project at GenterpretR is to represent every human being on earth as a numerical vector constructed based on their multi-omics profile. Tracking changes in the vector can describe a lot about any person well beings and correlating it with the other aspect of clinical research can help us build a preventive healthcare system.