Powerful multifunctional technology for precision medicine
BostonGene has developed a cloud-based information and analytics platform that is purpose-built to support physician decision-making in the scientifically complex areas of oncology and immunology.
The BostonGene cloud platform runs precision analytics against terabytes of patient data, and presents the results in a well-structured, intuitive format that enables tiered visualization of a personalized molecular model of the patient’s tumor. The cloud platform also presents relevant data from our scientific knowledgebase, including approved, as well as investigational, treatments and biomarkers, all prioritized for each patient.
Modeling the BostonGene MF Portrait™
BostonGene creates the most comprehensive portrait of the tumor microenvironment and genetic profile for every cancer patient based on RNA and DNA sequencing data. We have developed an automated workflow for analysis of all types of omics data and many more.
The BostonGene MF PortraitTM enables visualization of a patient’s next-generation sequencing (NGS) data (WGS, WES, RNAseq, scRNAseq) within the landscape of genetic data of patients with a similar diagnosis at a desired level of complexity. The MF Portrait elegantly depicts tumor activity, tumor cellular composition, activity of the immune-microenvironment, and other tumor-associated processes, helping to identify processes that are active or suppressed in the individual patient tumor.
Biomarker database
BostonGene built an in-depth biomarker database that includes information about treatment response, prognosis, disease progression, efficacy, and adverse effects. This database is updated daily to provide the most current data available from scientific research.
Next-generation sequencing and big data analysis
The BostonGene cloud platform performs large-scale analytics on any next-generation sequencing (NGS) data, including variant calling, transcripts expression, neoantigen prediction, and BCR and TCR repertoires. We follow state-of-the-art approaches and industry best practices to ensure security, privacy, and local compliance in the cloud.
Multiplexed immunofluorescence image processing
BostonGene has developed an automated machine learning based multiplexed immunofluorescence image processing solution for quantitative tissue analysis. This solution performs automated cell typing, spatial distribution and neighboring structures analysis in order to identify tumor and immune-microenvironment interactions.