Team:UCAS-China/Model

Overview

We look deep into the dynamics of Hp infection and further build a model with space dimension for Hp-SHEEP-Human System, in which we achieve integrated results and give detailed and rational guidance to our therapy. We build models for our biosafety module, mainly a cold-induced suicide trigger, and give a bistable solution. In our therapy modeling, we aim at an advanced and practical treatment and design a dose regimen for SHEEP therapy. What worth more mentioning is that by applying ITI (the information theory of individuality) to our model, we do the estimation for individuality in stable states in a more fundamental way.

Perspective

Family Evolutionary Tree

This well-prepared project was accidentally aborted by COVID-19.

Initially, we had planned to convene some patients who were related and infected by H. pylori. Subsequently, samples collected via our capsule robots from patients will be sent to genetic laboratory where we sequence and analyze the whole genome of H. pylori from individuals. With the assistance from several software, namely Phylip as well as MEGA, we are able to build a family evolutionary tree, which demonstrates the infectious process among family members and brings to light the mechanism and dynamics of mutation as well as selection.

That is the most meaningful part: after parsing the family evolutional tree via computational biological method, precision medicine for each individual comes into reality. In addition, a multidimensional insight into H. pylori’s mutation and selection makes it possible to adjust SHEEP, our strategy for treatment, for the purpose of declaring selective pressure of drug-resistance.

Apart from that, patients’ permission as well as comprehension are of great importance. We are doomed to prudentially preserve each patients’ data and private information in order to protect their privacy and dignity.

Machine Evolution Guiding Homeostasis Establishment of Eluding the Plethora of H. pylori

From our perspective, the best optimal strategy is balanced treatment rather than a fierce one. Lactobacillus acidophilus, which is a modified bacterium, with the gene of human antimicrobial peptides called LL-37 attached, has a competitive relationship with H. pylori. Besides, L. acidophilus has an ability to colonize in stomach for several generations. If we introduce our modified bacterium to patients, a homeostasis among human - H. pylori - L. acidophilus will be established. So that H. pylori will be controlled at a low level, avoiding the risk of severe gastric disease as well as maintaining a healthy and sound balance.

Apart from that, we have planed to put machine evolution into use. Evolutional logic, namely mutation and selection, will be defined as function and struct in program. Unlike artificial intelligence and machine learning, machine evolution is a brand-new horizon to simulate organism, in other words, is a way to create Digital Twin for our patients. If we make our prospect into reality, there is no deny that our balanced therapeutic prescription obtains a powerful assistance, and furthermore, individual medical treatment is doomed to be progressive and dynamic rather than stationary.

Here is our little program trying machine evolution~