Sunday, July 12, 2020

How a rapid field testing device could help head off future epidemics


Mechanical engineer Juan Santiago is an expert in microfluidics — compact chemistry labs that are increasingly being used to test various liquids for toxins, pollution, parasites, microbes and more.
Santiago and graduate student Ashwin Ramachandran are working to adapt one of his microfluidic tests for tuberculosis to detect the presence of the SARS-CoV-2 virus that causes COVID-19. Here’s an excerpt of a conversation with him about his project.

What is microfluidics?
Microfluidics is, essentially, a tiny medical lab that fits in the palm of your hand. There are very small tubes and pumps and so forth that move fluids — like those from a nasal swab, a teardrop amount is all it takes — through a series of chemical reactions. There’s a computer processor monitoring everything and a USB connection relays information to and from a computer. In fact, our test can be controlled in the field using a smartphone. It’s very mobile. Very compact. And very fast.

What is the advantage of your system over existing tests?
The advantages are several. First, it’s portable and could be used by any doctor, nurse or technician in the field at the point of care. Second, it’s fast. Existing tests can take eight hours or longer and samples must be sent to a central facility. No such point-of-care assay currently exists for SARS-CoV-2.

Lastly, and perhaps most importantly, our test can detect an active COVID-19 infection — which is key to early detection and treatment. The current rapid assays are based on antibodies to the virus, not the virus itself. So, those tests can tell the caregiver that the person has had the infection. Ours will tell them whether the patient is currently infected — and, therefore, infectious. This is a big distinction in isolating people who can infect others.

How does your test work?
In technical terms, the lab first looks for traces of genetic material in the sample — a corollary to DNA known as RNA. RNA is the protein that decodes DNA to create the proteins necessary for life. Viruses leave little traces of themselves wherever they go in the form of RNA.

If you find RNA, you can actually recreate the DNA that produced it — a process known as reverse transcription. Next, we need to create a lot of the DNA, that is we need to “amplify” it. Then, we do another process where we tag the DNA from the virus with tiny fluorescent molecules, so that when we illuminate the sample with an ultraviolet light the samples with coronavirus glow green. That’s how we would know the patient has the SARS-CoV-2 virus that causes COVID-19. In a sample where no virus RNA is present, the sample does not glow.

It’s actually quite a bit more complicated than this, because a sample always contains lots of RNA — from the patient themselves, from any microbes present, even from other viruses that aren’t life-threatening.

We want to know specifically that the patient has SARS-CoV-2, and not the common cold or the flu. That’s quite tricky as you can imagine, especially to do it fast enough to keep up with the virus.
All that transcribing, amplifying and tagging takes place in this compact package that can be taken into the field pretty much anywhere. We hope to get the test down to under 45 minutes or so, start to finish.

How quickly do you think you can have test kits ready to go?
Well, we think the window is too narrow to help out much with COVID-19, but we’re working as fast as we can. However, a microfluidic test kit like this could be easily reconfigured to head off future epidemics much more quickly than with COVID-19. You could quickly email the new RNA you were looking for and the kits could be reconfigured on the spot to look for any new virus or microbe of concern. We use the tuberculosis bacterium in our test now — it’s not safe to use the SARS-CoV-2 virus at this time — but the technology is applicable to any RNA, so you can imagine quick tests for bacteria like E. coli, MRSA, anthrax or viruses like the flu, Ebola or HIV, even parasites like malaria, schistosomiasis and others. It would be a very powerful tool.

This is only for your information, kindly take the advice of your doctor for medicines, exercises and so on.     

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Monday, April 23, 2018

A wearable device that is designed to detect abnormalities in breast thermal patterns and tissue elasticity, which can be strong indicators of early stage breast cancer. It consists of two biosensing patches that the user can place on her own brassier. 

The patches collect data that is sent to the user’s phone or tablet through blue-tooth technology, and our Artificial Intelligence algorithms produce a risk assessment within minutes. 

 Thermal Abnormalities
As cancer cells multiply, blood vessels grow around them in a process known as angiogenesis, in order to provide nutrients that allow the tumor to grow. These blood vessel formations are distinguishable from those naturally occurring in the body, and hence breast cancer risk can be assessed by detecting the thermal patterns associated with them.

Tissue Elasticity
Benign and malignant tissues have different elastic properties and hence breast cancer risk can be assessed by quantifying tissue elasticity. Our tactile sensors produce smooth vibrations that excite the breast tissue surrounding the mammary glands, generating elasticity data that our artificial intelligence algorithms study to determine the presence of abnormal masses.

Mode Of Use
The wearable device can be used in the commodity of the user’s home. The user just has to place the device, follow simple instructions on her phone or tablet, and in less than an hour she will have results from her monthly examination. During this time, the user is free to continue with her daily routine as long as she doesn’t engage in intense physical activity and is not heavily exposed to sunlight.

The Oracle Behind The Bra
The device uses state of the art Artificial Intelligence algorithms in order to provide the most reliable results possible with the information collected through its sensors. Our algorithms are in constant refinement, and they learn from each new user they have access to. 

We have fed our algorithms with breast data from about 150 women, and we have obtained a 89% sensitivity (percentage of cancer cases detected as such).

We are confident that our results will only continue to improve as our trials provide more cases for our algorithms to learn from and as our engineers and scientists continue to refine our mathematical models.

THIS IS ONLY FOR INFORMATION, ALWAYS CONSULT YOU PHYSICIAN BEFORE HAVING ANY PARTICULAR FOOD/ MEDICATION/EXERCISE/OTHER REMEDIES.                                                                                                                                                                                                        PS- THOSE INTERESTED IN RECIPES ARE FREE TO  VIEW MY BLOG-                                                                                           https://gseasyrecipes.blogspot.com/  

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