top of page

Work With Us

From patient data integration, drug responsiveness prediction to clinical trails and research project supporting, we provide a wide range of services that will help set the strategic direction in a big data driven fashion. In the process, we are dedicated to quality and focus on delivery of reliable report and insightful analysis across the services to meet individual customer needs.

  • Drug Response Prediction

Biomarker_2.jpg

With our cutting-edge AI driven analytics platform Oncology CoPilot, we help oncologists and NGS laboratories improve cancer patient outcomes with a comprehensive real-world big data modeling approach.

  • Model built over real-world patient data 

  • Comprehensive gene network evaluation

  • For all cancer types

  • More than 24 drug options in our training datasets

  • 72% accuracy for pan-cancer

  • 75% accuracy for breast cancer

  • Clinical Trial Support

33763230933_8e59580014_o-1.jpg

We have substantial knowledge and experience in advanced molecular technologies and machine learning modeling. We support pre-clinical and clinical research, including multi-site studies, conducted anywhere in the world.

  • Tailored service to meet individual study needs

  • Full focus to to drive faster clinical development

  • Attention to gain deeper data insights from every patient enrolled

  • Biomedical Research Support

biomarkers_og.gif

We recognise that every study is unique and has its own challenges. We work with collaborators and clients throughout the project to provide a comprehensive tailored service. We support you from initial study design and planning, all the way through to the interpretation of results, and will integrate seamlessly as part of your extended team.

  • Predictive models

  • Biomarker discovery

  • Drug target identification

  • Data Analytics

Robot-Machine-Learning-Concept.jpeg

We can help you get the most out of your omics data to transform it into knowledge with our bioinformatics and data science expertise.

  • Data collection, mining and analysis

  • Deep exploration and integration of omics data

  • Advanced machine learning algorithms

  • Predictive data analytics

  • Curated databases

  • Data visualization and interpretation

bottom of page