BIOMEDICAL SW
CLASSACT provides a Highly Reliable Data Platform for Cancer Precision Medicine and Clinical Research. The data platform is applied with NGS Variant Annotation Technologies based on a global big data and visualization technologies of Clinical Research Information such as Clinical Significance Assessment Results, classification and interpretation.
Data Visualization Technology
Focusing on Cancer Genome Database
Data Sharing and Analysis Platform base on
Various Databases(EDC, OMOP-CDM, others)
Using to find proper Biomarkers
for specified cancers
Multi-dimensional Analysis between Different Groups
(i.e., Venn Diagram, OncoGrid, others)
Analysis and Visualization of the
Correlation among Cancer Diseases,
Genes and Mutations
Visualization of Demographical results
by Gender, Age, Cancer Diagnosis, Gene and Variant
Data Interfacing Technology for Cohort Analysis
Using NGS Test Results Data
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Summary information of NGS Test Results and
NGS Variation Clinical Analysis -
Information of Pathogenic Assessments and Drug Reaction
Assessments for NGS Variation -
Information of demographics and a Proactive/Retrospective Cohort Research
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Recommendation of applicable drug interventional clinical trials
of each patient base on the information of demographic
Mobile PRO System for
Patient-Centered Clinical Trials
Collecting quantitive data onto the
patient’s degree of pain
Providing data onto the prognosis of adverse drug event which is observed and analyzed
Supporting decision making to improve QoL of the patient with refractory cancer
Enhancing the effectiveness of communication
with patients and medical staff