eMED-DNA: An in silico operating system for clinical medical data storage within the human genome

Abstract

The propitious developments in molecular biology and next generation sequencing have enabled the possibility for DNA storage technologies. However, the full application and power of our genomic revolution have not been fully utilized in clinical medicine given a lack of transition from research to real world clinical practice. This has identified an increasing need for an operating system which allows for the transition from research to clinical use. We present eMED-DNA, an in silico operating system for archiving and managing all forms of electronic health records (EHRs) within one’s own copy of the sequenced genome to aid in the application and integration of genomic medicine within real world clinical practice. We incorporated an efficient and sophisticated in-DNA file management system for the lossless management of EHRs within a genome. This represents the first in silico integrative system which would bring closer the utopian ideal for integrating genotypic data with phenotypic clinical data for future medical practice.

Publication
In bioRxiv
Md Mohaiminul Islam
Md Mohaiminul Islam
PhD Student UNC Chapel Hill Research Scientist Intern Meta AI

My research interests include computer vision, video understanding, and multi-modal deep learning.