Skip to main content

New biochips and gene editing can used to stop pandemics.


"Cornell University has introduced a bioelectric device that can quickly identify harmful coronavirus variants and potentially other viruses. This microchip-based tool uses a biomembrane to simulate the cellular infection process, aiding in rapid and effective virus assessment. Credit: SciTechDaily.com" (ScitechDaily, How Cornell’s Revolutionary Biochip Could Save Us From the Next Pandemic)


The distributed computing method is easy to transform into the DNA. The system just cuts the DNA between multiple biochips. Then it connects the results from the analysis together. That is an easy way to make DNA models of people, animals, bacteria, and viruses. 

Biochips that can analyze the DNA in hours, or even in minutes are the tools, that can hack any virus code very fast. The idea in that kind of system is taken from the neural networks and quantum calculation. The system can cut the DNA and RNA molecules into small pieces. And share those pieces between a large number of biochips that can make the analysis. When the system shares the DNA and RNA samples with multiple analysators it can make the analysis very fast.  

Then the biochips and controlling AI connect that information.  Using CRISPR databases the system can search for DNA about humans, who seem to be immune against viruses. Then the system can search the DNA that makes those people immune. After that, the system gives orders to connect that DNA to wanted cells. In the radical vision, the mRNA can simply used to reprogram the immune system. 

When we think about gene editing and its abilities, the gene-editor requires DNA material, that it uses in that process. The gene scissors, nano-size lasers, and AI-controlled robots. Along with polymerase chain reaction (PCR) are tools that the gene-editor uses. 

The system must cut the DNA at the precise right point. And then it just connects the new DNA bite at that point. The system can replace the damaged DNA sequence with non-damaged DNA. And that is the idea in a gene-therapy. The problem is that the gene-editor must know the DNA so that the system can find the right point in the DNA.  

First nanotechnology creates the prototype DNA. After that, PCR systems multiply that genome, which can be injected into the receiver as regular vaccines. 

Miniature LIDAR technology makes it possible to create biochips that can analyze DNA and RNA very fast. In those models, the system transfers the DNA or RNA into the nanotube or nano-size glass tube. Then ultra-small lidar system or laser scanner scans the molecule. In some visions, that kind of system can be surgically implanted in the human body. And it can warn about dangerous viruses. 

The virus detector can use the DNA databases to search for the similarities in DNA sequence between new and well-known viruses. That data can be used to analyze how dangerous the virus is. All viruses are not dangerous for healthy people. But if a person has AIDS or some kind of disease, there is immune depression. That makes those viruses dangerous. 


https://scitechdaily.com/how-cornells-revolutionary-biochip-could-save-us-from-the-next-pandemic/


https://scitechdaily.com/surpassing-crispr-how-seekrna-is-redefining-the-future-of-gene-editing/


Comments

Popular posts from this blog

New AI-based operating systems revolutionize drone technology.

"University of Missouri researchers are advancing drone autonomy using AI, focusing on navigation and environmental interaction without GPS reliance. Credit: SciTechDaily.com" (ScitechDaily, AI Unleashed: Revolutionizing Autonomous Drone Navigation) The GPS is an effective navigation system. But the problem is, how to operate that system when somebody jams it? The GPS is a problematic system. Its signal is quite easy to cut. And otherwise, if the enemy gets the GPS systems in their hands, they can get GPS frequencies. That helps to make the jammer algorithms against those drones. The simple GPS is a very vulnerable thing.  Done swarms are effective tools when researchers want to control large areas. The drone swarm's power base is in a non-centralized calculation methodology. In that model, drones share their CPU power with other swarm members. This structure allows us to drive complicated AI-based solutions. And in drone swarms, the swarm operates as an entirety. That ca...

Hydrogen is one of the most promising aircraft fuels.

Aircraft can use hydrogen in fuel cells. Fuel cells can give electricity to the electric engines that rotate propellers. Or they can give electricity to electric jet engines. In electric jet engines. Electric arcs heat air, and the expansion of air or some propellant pushes aircraft forward. Or, the aircraft can use hydrogen in its turbines or some more exotic engines like ramjets. Aircraft companies like Airbus and some other aircraft manufacturers test hydrogen as the turbine fuel.  Hydrogen is one of the most interesting fuels for next-generation aircraft that travel faster than ever. Hydrogen fuel is the key element in the new scramjet and ramjet-driven aircraft. Futuristic hypersonic systems can reach speeds over Mach 20.  Today the safe top speed of those aircraft that use air-breathe hypersonic aircraft is about Mach 5-6.   Hydrogen is easy to get, and the way to produce hydrogen determines how ecological that fuel can be. The electrolytic systems require elec...

The neuroscientists get a new tool, the 1400 terabyte model of human brains.

"Six layers of excitatory neurons color-coded by depth. Credit: Google Research and Lichtman Lab" (SciteechDaily, Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map) Harvard and Google created the first comprehensive model of human brains. The new computer model consists of 1400 terabytes of data. That thing would be the model. That consists comprehensive dataset about axons and their connections. And that model is the path to the new models or the human brain's digital twins.  The digital twin of human brains can mean the AI-based digital model. That consists of data about the blood vessels and neural connections. However, the more advanced models can simulate electric and chemical interactions in the human brain.  This project was impossible without AI. That can collect the dataset for that model. The human brain is one of the most complicated structures and interactions between neurotransmitters, axons, and the electrochemica...