On the Internet of Senses and Cyborg Organoids

Tags

cyborgs, Internet of Senses, Organoids

In a previous post on the Internet of Senses, https://irthoughts.wordpress.com/2020/01/01/internet-of-senses-miner/, the bell was rung. It is a matter of time for the human-electronic interfaces and hypersenses revolution.

Cyborg organoids are real and are here. Below is one bit of the blue print:

“Cyborg Organoids: Implantation of Nanoelectronics via Organogenesis for Tissue-Wide Electrophysiology”.

Links relevant to this reseach follow:

https://pubs.acs.org/doi/10.1021/acs.nanolett.9b02512

https://www.biorxiv.org/content/biorxiv/early/2019/07/10/697664.full.pdf

https://www.biorxiv.org/content/10.1101/697664v1

“Cyborg” Human Organ Grown in a Dish

Watch the beating of a cyborg heart here:

http://sitn.hms.harvard.edu/wp-content/uploads/2019/08/Cyborgcardiacorganoid.mp4?_=1

Semantic Similarity of Healthcare Data

Tags

cosine similarity, healthcare data, semantic similarity

In “Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching“, published in the International Journal of Medical Informatics 132:104002 DOI: 10.1016/j.ijmedinf.2019.104002, Kiourtis et al. (2019), address the following objective, and quote:

“Healthcare systems deal with multiple challenges in releasing information from data silos, finding it almost impossible to be implemented, maintained and upgraded, with difficulties ranging in the technical, security and human interaction fields.”

The authors propose an elegant mechanism “that promises healthcare interoperability through the transformation of healthcare data into the corresponding HL7 FHIR structure.”

These are great news! Very cool and practical research that can solve so many problems in the healthcare informatics field.

Many thanks for citing our cosine similarity tutorial as reference 52.

My only reserve with the paper is that early in the article they suggest adding and averaging similarities, which is a mathematically invalid exercise. Distances are arithmetically additive, but similarities (of the same or different kind or source) are not. We can make similarities additive and average them, but not in the arithmetic sense. Other than that, they work is a noble effort.

On Fractal Topography and Scale-Invariance

Tags

Fractal Analysis, Fractal Geometry, Fractal Topography, fractals, Scale-Invariance

Closing a gap in the fractal geometry theory: Definition of fractal topography to essential understanding of scale-invariance.

https://www.nature.com/articles/srep46672.pdf

One year old, but very relevant these days. Very important and enlightening research article.

A better understanding of scale-invariance by means of defining fractal topography opens the door to many practical applications. This was something loosely suggested in the literature, but not fully addressed. Great job!

BioDesign Miner

Tags

Bio-Inspired, BioDesign, Like Nature, minerazzi, Nature-Inspired

The BioDesign Miner is a new search solution available now at

http://www.minerazzi.com/biodesign

Find nature-inspired solutions, discoveries, techniques, innovations, & more.

Use it to build curated collections on bio-inspired research or find news on biodesign.

A Tutorial on Polynomial Regression through Linear Algebra

Tags

Algorithms, Linear Algebra, Mathematics, Matrices, Polynomial Regression, Regression, tools, tutorials

If you are a chemist, biodesigner, or a researcher working in other fields, eventually you may need to fit a paired data set to a polynomial regression model. You could use software to do that, or build your own solution. This tutorial is aimed at those interested in the latter. Access it now at

http://www.minerazzi.com/tutorials/polynomial-regression-tutorial.pdf

Three different methods for implementing polynomial regression are described. Teachers and students might benefit from the tutorial since the calculations can be done with a spreadsheet software like Excel, by writing a computer program, or with a programmable calculator.

 

 

72 Binary Similarity Measures

Tags

Algorithms, bioinformatics, chemical mining, chemistry, Data Conversion, data miners, Data Mining, information retrieval, ir, minerazzi, miners, mining, news, social mining, statistics, tools, tutorials, Vector Space Models

We have expanded the number of similarity measures that our Binary Similarity Calculator computes from 30 to 72 (and counting…)

Same measures with different names have been consolidated into a single record, and different measures with same name have been enumerated as necessary.

These similarity coefficients have many applications across disciplines: from bioinformatics to chemistry, chemometrics, statistics, data mining, information retrieval, marketing research, etc.

The tool is available at

http://www.minerazzi.com/tools/similarity/binary-similarity-calculator.php

We have also included the new similarity measures proposed by Consonni & Todeschini (2012), and Todeschini, et al (2012).

Our Tutorial on Distance and Similarity was also updated, accordingly. Check it out at

http://www.minerazzi.com/tutorials/distance-similarity-tutorial.pdf

 

References

Consonni, V. and Todeschini, R. (2012). New Similarity Coefficients for Binary Data. MATCH Commun. Math. Comput. Chem. 68, 581-592.

Todeschini, R., Consonni, V., Xiang, H., Holliday, J., Buscema, M., and Willet, P. (2012). Similarity Coefficients for Binary Chemoinformatics Data: Overview and Extended Comparison Using Simulated and Real Data Sets. J. Chem. Inf. Model. 52 (11).

A Step Closer to Mind Retrieval

Tags

Algorithms, data miners, Data Mining, information retrieval, ir, Mind Retrieval, minerazzi, tools

We are getting closer to Mind Retrieval. The implications of being able to mine the brain are obvious for all sciences, in addition to homeland security, law and order, marketing research, etc.

I got last night this news, “Scientists map brain’s ‘thesaurus’ to help decode inner thoughts

Scientists at the University of California, Berkeley, have taken a step in that direction by building a “semantic atlas” that shows in vivid colors and multiple dimensions how the human brain organizes language. The atlas identifies brain areas that respond to words that have similar meanings

Read the news here: http://www.nsf.gov/news/news_summ.jsp?cntn_id=138437&WT.mc_id=USNSF_51&WT.mc_ev=click

Last year I mentioned that we are getting close to Mind Retrieval.

https://irthoughts.wordpress.com/2015/06/17/say-hello-to-mind-retrieval/

That post was a reminder of a previous 2010 interview by Nuno Valenzuela, a visionary SEM from Spain. Great guy.

I met Nuno back in 2007 when I was invited to present at a Madrid Search Engine Congress (OJOBuscador) on Latent Semantic Indexing (LSI).

See conference legacy links here

http://web.archive.org/web/20071213063317/http://congreso.ojobuscador.com/2007-madrid/ponentes/

http://web.archive.org/web/20071013183824/http://congreso.ojobuscador.com/2007-madrid/multimedia/

Here is a link to Nuno’s interview. You may want to resize browser window:

https://ithinksearch.wordpress.com/2010/08/10/ideas-entrevista-a-edel-garcia/

And some relevant links here:

https://irthoughts.wordpress.com/2009/06/22/ir-videos-in-spanish/

https://irthoughts.wordpress.com/2008/04/07/demystifying-lsi-video/

Unfortunately, OJOBuscador site is now defunct so their links are broken.

 

BioInformatics Software Miner

Tags

bioinformatics, bioinformatics software, Data Mining, minerazzi, miners

The BioInformatics Software is a new miner built at Minerazzi.com. It is available at

http://www.minerazzi.com/biosoft/

Find bioinformatics software, tools, packages, open source, scripts, vendors, and more. Search by topic, product name, or vendor.

Another miner, for chemistry software, is in the making.

The BioInformatics Databases Miner

Tags

bioinformatics, bioinformatics databases, Data Mining, minerazzi, miners

This is a new miner available at http://www.minerazzi.com/bioinfo. Use it to find or build genome, sequence, proteomics, RNA, pathway, metabolic, microarray, exosomal, PCR, phenotype, taxonomic, carbohydrate, metabolimic, drug design, and imaging collections. Search by topic or database.

Sample queries can be

[ cancer research ], [ rna and dna ], [ bioinformatics ], or similar.

If you are into bioinformatics databases, this miner is for you.