Nicolas Miller, Ph.D
Genetic testing; genetic analysis; gene therapy.
It is extremely tiring and time-consuming to manually analyze huge amounts of data that is present in an individual’s DNA and extract valuable insights from it. Data analytics, powered by our DICAT system, can make this process more efficient, accurate and fast, helping healthcare companies and workers make crucial decisions and predictions.
Our advanced machine learning algorithms have the capability to compare various gene expression levels in normal and malignant tissue samples of a cancer patient, based on which, predictions can be made to discover which genes are mutated in the patient’s DNA. Our machine learning algorithm learns and provides predications based on the how often a gene is expressed in a malignant sample and compare it with a normal sample with the same gene, additionally infusing new information with every new set of data that is provided.
Gene editing
Technologies such as CRISPR-Cas9 can edit the DNA sequences to correct defects in genes and treat diseases. Although the technology is extremely precise in targeting the accurate location, there is a probability of mutations due to off-target editing.
Genome sequencing
Our machine learning algorithms accelerate the analysis of sequenced data while predicting the genetic alterations associated with a specific genetic disease. This helps to cut down the effort and time needed to develop a medicine.
Predictive Genetic Testing & Preventive Medicine
Genetic screening of new-borns is increasingly becoming a standard practice. This non-invasive genetic screening can detect diseases like Down syndrome during pregnancy. Our artificial intelligence system can predict outcomes and the risks associated in curing genetic diseases, based on available data.
Copyright © 2023 DICAT Biomedical Computation Centre - All Rights Reserved.