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I'm curious if you have a favorite bread/baking text? I've been meaning to do more breads this year myself, but haven't had the time to research some good/technical texts. I suspect you may have all the heavy science ones on your shelf that I would be likely to purchase and could save me some time with recommendations.

 
 
 
 
 
 
 
 

Real-time MRI for precise and predictable intra-arterial stem cell delivery to the central nervous system

An MRI shows stem cells labeled with iron oxide nanoparticles being injected into an animal’s brain. Click to view video. (Credit: Piotr Walczak/Johns Hopkins Medicine)

Working with animals, a team of scientists reports it has delivered stem cells to the brain with unprecedented precision by threading a catheter through an artery and infusing the cells under real-time MRI guidance.

In a description of the work, published online Sept. 12 in the Journal of Cerebral Blood Flow and Metabolism, they express hope that the tests in anesthetized dogs and pigs are a step toward human trials of a technique to treat Parkinson’s disease, stroke, and other brain damaging disorders.

“Although stem cell-based therapies seem very promising, we’ve seen many clinical trials fail. In our view, what’s needed are tools to precisely target and deliver stem cells to larger areas of the brain,” says Piotr Walczak, M.D., Ph.D., associate professor of radiology at the Johns Hopkins University School of Medicine’s Institute for Cell Engineering. The therapeutic promise of human stem cells is derived from their ability to develop into any kind of cell and, in theory, regenerate injured or diseased tissues ranging from the insulin-making islet cells of the pancreas that are lost in type 1 diabetes to the dopamine-producing brain cells that die off in Parkinson’s disease.

Ten years ago, Shinya Yamanaka’s research group in Japan raised hopes further when it developed a technique for “resetting” mature cells, such as skin cells, to become so-called induced pluripotent stem cells. That gave researchers an alternative to embryonic stem cells that could allow the creation of therapeutic stem cells that matched the genetic makeup of each patient, greatly reducing the chances of cell rejection after they were infused or transplanted. But while induced pluripotent stem cells have enabled great strides forward in research, Walczak says they are not yet approved for any treatment, and barriers to success remain.

In a bid to address once such barrier – how to get the cells exactly where needed and no place else – Walczak and his colleague Miroslaw Janowski, M.D., Ph.D., assistant professor of radiology, sought a way around strategies that require physicians to puncture patients’ skulls or inject them intravenously. The former, Walczak says, is not only unpleasant, but also only allows delivery of stem cells to one limited place in the brain. In contrast, injecting cells intravenously scatters the cells throughout the body, with few likely to land where they’re most needed, says Walczak.

“Our idea was to do something in between,” says Janowski, using intra-arterial injection, which involves threading a catheter, or hollow tube, into a blood vessel, usually in a leg, and guiding it to a vessel in a hard-to-reach spot like the brain. The technique currently is used mainly to repair large vessels in the brain, says Janowski, but the research team hoped it might also be used to get stem cells to the exact place where they were needed. To do that, they would need a way of monitoring the catheter placement and movement of implanted cells in real time.

Walczak and Janowski teamed with colleagues including Monica Pearl, M.D., an associate professor of radiology practicing in the Division of Interventional Neuroradiology, who specializes in intra-arterial procedures. Usually the procedure is performed using an X-ray image as a guide, but that approach ruled out watching injected stem cells’ movements and making adjustments in real time.

In their experiments, after placing the catheter under X-ray guidance, they transferred anesthetized dog and pig subjects to an MRI machine, where images were taken every few seconds throughout the procedure. Once the catheter was in the brain, Pearl pre-injected small amounts of a harmless contrast agent that included iron oxide and could be detected on the MRI. “By using MRI to see in real time where the contrast agent went, we could predict where injected stem cells would go and make adjustments to the catheter placement, if needed,” says Janowski. Adds Jeff Bulte, Ph.D., a professor of radiology who participated in the study, “It’s like having GPS guidance in your car to help you stay on the right route, instead of only finding out you’re lost when you arrive at the wrong place.”

The team then injected both small stem cells (glial progenitor cells from the brain) and large mesenchymal stem cells from bone marrow into the animals under MRI, and found that in both cases, the pre-injected contrast agent and MRI allowed them to accurately predict where the cells would end up. They could also tell whether clumps of cells were forming in arteries and, if so, possibly intervene to avoid letting the clumps grow large enough to cut off blood flow and pose a danger. “If further research confirms our progress, we think this procedure could be a big step forward in precision medicine, allowing doctors to deliver stem cells or medications exactly where they’re needed for each patient,” says Walczak. The research team is planning to test the procedure in animals as a treatment for stroke and cancer, delivering both medications and stem cells while the catheter is in place.

Other authors on the paper are Joanna Wojtkiewicz, Aleksandra Habich, Piotr Holak, Zbigniew Adamiak and Wojciech Maksymowicz of the University of Warmia and Mazury in Poland; Adam Nowakowski and Barbara Lukomska of the Mossakowski Medical Research Center in Poland; Jiadi Xu of the Kennedy Krieger Institute; and Moussa Chehade and Philippe Gailloud of the Johns Hopkins University.

The study was funded by the National Institute of Neurological Disorders and Stroke (grant numbers NS076573, NS045062, NS081544), the Maryland Stem Cell Research Fund, the Department of Defense (grant number PT120368), the Polish National Science Centre (grant number NCN 2012/07/B/NZ4/01427), the National Centre for Research and Development, and a Mobility Plus Fellowship from the Polish Ministry of Science and Higher Education.

 

@Pitanity @nursingdean Biomedical Engineering (BME) is better thought of an addition layer of biology, chemistry, physiology, medicine, etc. on top of the "traditional" disciplines. (Or in your case nursing as well.) So which of the traditional areas are you most interested in? Then with some foundational work in that you can layer on your health care training.

As an example, I started out in electrical engineering, then subspecialized in signal processing and imaging which led me into MRI and CT which I further sub-specialized into cardiac imaging.

The question you'll need to figure out is which traditional branch of engineering you're going to layer your nursing training onto as a substrate? With a nursing degree you've got most of the biomed portion of a curriculum under your belt, now you just need to add the (traditional) engineering portion.

I don't know your other interests/background, so I might suggest industrial engineering as being a very fruitful area combined with nursing (especially if you're interested in research.) I can also see some applications of network theory (within computer science/electrical engineering and industrial engineering) being interesting -- think about the patient with a network of specialized careworkers, friends, family around them and how can one optimize that network to improve healthcare outcomes...

To help focus your search, take a look at "BME Focus Areas Course Lists" at http://www.bme.jhu.edu/undergraduate/resources. Browsing through course offerings from BME programs will also help you narrow down your interests to figure out the best path.

Also: Do you want to do basic research? Teach? Design/Build/Manufacture products? Work with patients? Patient-based research medicine? These will help you narrow down which programs/degrees you may need professionally as the individual tracks have different requirements.

 
 
 

A good example of perverting statistics in science communication via @lpachter
https://liorpachter.wordpress.com/2016/08/05/something-the-nih-can-learn-from-nasa

 

reference request - Relation between Group theory and Information theory - Theoretical Computer Science Stack Exchange
http://cstheory.stackexchange.com/questions/36248/realation-between-group-theory-and-information-theory/36352#36352

Sadly, group structure is nearly so limited that there isn't much one can do with it to be of use in information theory, thus the literature is prone to be fairly sparse. Even Abelian groups aren't enough structure.

Even basic abstract algebra texts which have some basic coding theory applications generally provide examples using field theory or linear algebra. If there were useful examples for groups, they'd most likely be introduced there.

- [Hungerford, Thomas; Abstract Algebra: An Introduction][1]
- [Rotman,J.J.; A First Course in Abstract Algebra, Third Edition][2]

As most of Rotman's work was in group theory, if anyone would have had examples there, certainly he would. Steven Roman at UCI also did a good bit of textbook writing (separately) on coding theory and field theory and has a text [Fundamentals of Group Theory: An Advanced Approach (Birkhauser)][3], but not having read it, I suspect you'll find it barren of the group theoretical work you're looking for.

In the late 90's I seem to recall some work on binary codes defined by using codes over the alphabet $ \mathbb {Z}_4$. For some background (and possible references) see [J.H. van Lint's Introduction to Coding Theory, Third Edition (Springer, 1999)][4].

Once you take the algebraic step up to even finite fields, you're far more likely to find overlap with more coding theory. For this, try taking a look at [Error-Correcting Linear Codes: Classification by Isometry and Applications (Springer) by Betten, Braun, et al.][5] which may have some scant material on applications to groups as I recall.

[1]: http://amzn.to/2aFmxPA
[2]: http://amzn.to/2aBIVfe
[3]: http://amzn.to/2atcFoK
[4]: http://amzn.to/2aI4O7k
[5]: http://amzn.to/2aAyrGJ