precisionlife MARKERS2018-07-24T12:45:20+00:00

multi-modal, polygenic biomarker studies in hours or days, not months
  • rapidly identifying biomarker networks with up to 50 genomic, phenotypic and clinical factors acting in combination

  • comprehensive, reproducible and interpretable results in hours or days on a single 4 GPU machine

  • integrated deep semantic annotation for validation and biological interpretation, aiding discovery of new, more specific and useful biomarker networks

  • enabling detailed patient stratification in clinical trials design, healthcare analytics & clinical decision support

  • affordable multi-modal, multi-dimensional, hyper-combinatorial analysis of disease population scale genomic study data

read more in the IBM Technical Briefing…

precisionlife MARKERS is a powerful new analytical approach to multi-modal biomarker discovery and validation studies.

precisionlife MARKERS (previously known as Synomics Studio) enables large scale datasets including combinations of:

  • genomic
  • phenotypic, and
  • clinical features

to be fully analyzed for multi-feature associations (with up to 30 features) that meet stringent user-defined criteria for p-value, penetrance and SNP network size.

precisionlife MARKERS uses a massively parallelized algorithm, tuned for multiple GPU compute devices, to give results in minutes, hours or days, rather than weeks or months.

precisionlife MARKERS makes it easy for genomics and precision medicine researchers to quickly identify, validate and understand the metabolic relevance of disease related features in novel biomarker networks by combining multi-factor association analysis with integrated validation and biological annotation and interpretation features. These include a full bioinformatics knowledge graph containing SNP, gene & pathway annotations and systems pharmacology models.

precisionlife MARKERS annotation engineprecisionlife MARKERS can be used for:

  • more accurate patient stratification
  • personalized disease risk scoring
  • assessment of likely therapy response / adverse drug reactions

precisionlife MARKERS (previously known as Synomics Studio) runs on various architectures including GPU enabled systems such as IBM Minsky, and is featured in the IBM Reference Architecture for High Performance Analytics in Healthcare and Life Science and in this IBM Technical Briefing

multi-modal, polygenic biomarker studies in hours or days, not months
  • rapidly identifying biomarker networks with up to 50 genomic, phenotypic and clinical factors acting in combination

  • comprehensive, reproducible and interpretable results in hours or days on a single 4 GPU machine

  • integrated deep semantic annotation for validation and biological interpretation, aiding discovery of new, more specific and useful biomarker networks

  • enabling detailed patient stratification in clinical trials design, healthcare analytics & clinical decision support

  • affordable multi-modal, multi-dimensional, hyper-combinatorial analysis of disease population scale genomic study data

read more in the IBM Technical Briefing…

precisionlife MARKERS is a powerful new analytical approach to multi-modal biomarker discovery and validation studies.

precisionlife MARKERS (previously known as Synomics Studio) enables large scale datasets including combinations of:

  • genomic
  • phenotypic, and
  • clinical features

to be fully analyzed for multi-feature associations (with up to 30 features) that meet stringent user-defined criteria for p-value, penetrance and SNP network size.

precisionlife MARKERS uses a massively parallelized algorithm, tuned for multiple GPU compute devices, to give results in minutes, hours or days, rather than weeks or months.

precisionlife MARKERS makes it easy for genomics and precision medicine researchers to quickly identify, validate and understand the metabolic relevance of disease related features in novel biomarker networks by combining multi-factor association analysis with integrated validation and biological annotation and interpretation features. These include a full bioinformatics knowledge graph containing SNP, gene & pathway annotations and systems pharmacology models.

precisionlife MARKERS can be used for:

  • more accurate patient stratification
  • personalized disease risk scoring
  • assessment of likely therapy response / adverse drug reactions

precisionlife MARKERS (previously known as Synomics Studio) runs on various architectures including GPU enabled systems such as IBM Minsky, and is featured in the IBM Reference Architecture for High Performance Analytics in Healthcare and Life Science and in this IBM Technical Briefing