Together with our strategic biopharmaceutical partners, we are tackling some of the biggest challenges in the industry.
Identifying emerging targets, mechanisms of actions (MoAs) for diseases with unmet medical need.
Selecting the ideal indications and combination therapies for drugs and targets in development.
Identifying biomarkers associated with drug response, toxicity and resistance.
Identifying potential mis- and under-diagnosed rare disease patients from insurance claims data.
Improving clinical trial design and recruitment by leveraging automated curation and access to de-identified patient records.
Our continuously-evolving nferX software has the potential to transform the way scientists generate and vet hypotheses to tackle some of healthcare's biggest challenges. As part of our strategic collaborations with some of the leading biopharmaceutical companies, we are providing access to the nferX software to select alpha users at those biopharma partners.
Natural language is at the heart of we learn and communicate concepts and ideas. However, our capacity to read and process this wealth of information cannot keep up with the explosion of biomedical literature. We leverage an ensemble of neural networks to enable automated, real-time extraction of insights from over 100M+ biomedical documents.
The world has seen an explosion of molecular data - such as DNA sequencing, bulk and single cell RNA sequencing... - in the last 10-15 years. However, most of that data comes from studies that have been analyzed individually by different academic groups and that are poorly annotated. By leveraging the nferX technology, we have been able to process and analyze hundreds of thousands of samples and their annotations in a systematic, automated manner. From gene expression quantification to variant discovery, we process raw sequencing data using state of the art methods.
nference has access to both public and proprietary real world datasets. By triangulating real world evidence with our molecular analytics and knowledge synthesis capabilities, nference is able to infer causal genotype-phenotype relationships.
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