Our Technologies

Find out more details about our Advanced AI Platform

A Data Science Approach

Learn how we can use our platform to tackle any biomedical problem

Our AI Platform uses a Data Science (DS) approach.
In DS problems from any field are reduced to only three:
 Classification: Diagnosis (Cancer vs. Normal)
 Regression: Survival rate
 Clustering: Patient stratification
We also offer Bioinformatics services:
1. RNA-seq data analysis: This pipeline includes steps for quality control, adapter trimming, alignment, variant calling, transcriptome reconstruction and post-alignment quantitation.
2. Small RNA-seq data analysis: Used to discover novel miRNAs and other small noncoding RNAs, and examine the differential expression of all small RNAs in the sample.
3. Variants (SNP and Indels) analysis: After alignment of the reads onto a reference genome, it is possible to detect base modifications (SNP or small indels) between the library and the reference. The variant list is then filtered according to specific thresholds in order to retrieve variants of interest.  


Find out more about our research progress and projects that imply us.


Dwell deeper into our core technology.


Learn more about the cancer tests.