WGS & Social-#Network Analysis of a TB Outbreak http://www.NEJM.org/doi/full/10.1056/NEJMoa1003176 Nice tech combo but not sure transmission & phylogeny are consistent
Please find the article at link:
https://www.pharma-iq.com/informatics/articles/is-big-pharma-really-on-cusp-of-ai-shake-out-0
Is big pharma really on cusp of AI shake-out?
By: Pharma IQ
Posted: 07/14/2017
QT:{{”
The promises of “disruptive technologies” have failed to live up to expectations in the past. For example, the development of ‘high throughput screening’ – a process that employs robotics to conduct millions of chemical, genetic and pharmacological tests in rapid time – in the 1990s failed to significantly reduce R&D inefficiencies and offered sporadic success rates.
“The major cost in drug R&D is last-phase clinical trials,” said Dr Mark Gerstein, professor of biomedical informatics at Yale University. “It is not clear whether AI can be as useful for these as it has been in target selection for the initial phases.”
“One of the first principles of data mining is that history is a good predictor of the future. AI has a track record of not living up to its expectations and therefore caution about how great its impact will be in the healthcare industry is now warranted.”
“}}
#PeriodicTable of Technology
http://fios.verizon.com/beacon/periodic-tech-table/ Nicely shows what each chemical element is used for in hi-tech
Periodic Table of Technology
Make Pharma Great Again w. AI, by @mostafabenh
https://Medium.com/@mostafab/make-pharma-great-again-with-artificial-intelligence-some-challenges-50e91ea9988d Optimism-inducing Moore’s law in tech vs. #Eroom’s law for drugs
QT:{{”
Drug discovery is getting increasingly tough and expensive. Despite technological progress, the cost of developing a new drug doubles every nine years. That’s Eroom’s law of Pharma, which mirrors Moore’s law for computer performance.
….
Drugs are getting more expensive
In the tech industry, the situation is different. Optimism prevails. Tech is fueled by Moore’s law, the fact that computer performance is doubling every 18 months.
Moore’s law
This exponential progress keeps prices low. For example, Google gives away the use of its new TPU chip for free, for some scientific projects. Tech companies are more generous due to their feeling of abundance. How can Tech help Pharma, especially at a time of expansion for Artificial Intelligence?
“}}
‘Make Pharma Great Again with Artificial Intelligence: some Challenges’
FormBox: A Desktop…Former…Makes Beautiful Things, by @TeamMayku
https://www.KickStarter.com/projects/1094489804/formbox-a-desktop-vacuum-former-that-makes-beautif 3D printouts w/ chocolate & cement + ABS, PVC…
ice too
QT:{{”
“Acrylonitrile Butadiene Styrene ABS (the stuff Lego is made from) Polystyrene PS (Commonly found in: Product packaging)
Polycarbonate PC (Commonly found in: Drinks bottles)
Polypropylene PP (Commonly found in: Buckets, spades, chairs, everything!) Polyethylene (Commonly found in: sheet and foamed sheet)
PE (Commonly found in: Insulating cases, bottles)
Polyvinyl Chloride PVC (Commonly found in: straws, plastic pipes) Acrylic PMMA (Commonly found in: Light up signs)
PETg (Commonly found in: Food safe molds)
HIPS (Commonly found in: Disposable cups)”
“}}
Genome-wide characterization of..promoters w…enhancer functions http://www.Nature.com/ng/journal/v49/n7/full/ng.3884.html Blurs distinction betw these, suggests flexibility
Genome-wide characterization of mammalian promoters with distal enhancer functions
Lan T M Dao,
Ariel O Galindo-Albarrán,
Jaime A Castro-Mondragon,
Charlotte Andrieu-Soler,
Alejandra Medina-Rivera,
Charbel Souaid,
Guillaume Charbonnier,
Aurélien Griffon,
Laurent Vanhille,
Tharshana Stephen,
Jaafar Alomairi,
David Martin,
Magali Torres,
Nicolas Fernandez,
Eric Soler,
Jacques van Helden,
Denis Puthier
& Salvatore Spicuglia
Promoting transcription over long distances
Rui R Catarino,
Christoph Neumayr
& Alexander Stark
Nature Genetics 49, 972–973 (2017) doi:10.1038/ng.3904
28 June 2017
http://www.nature.com/ng/journal/v49/n7/full/ng.3884.html
http://www.nature.com/ng/journal/v49/n7/full/ng.3904.html
QT:{{”
“Should we be surprised that promoters can function as enhancers—or better—that enhancers and promoter regions can overlap? Probably not: the habit of annotating different genomic regions with distinct labels ignores the fact that DNA sequences typically encode different genetic functions in a rather flexible manner. Enhancers and promoters are determined by the presence of short degenerate motifs, and even protein-coding regions display flexibility due to the degeneracy of the genetic code. Therefore, a single DNA sequence can encode different types of functions, including enhancer function of protein-coding regions or—as shown now—enhancer function of
promoters.”
“}}
Brain #transcriptome diversity at the single cell level
http://www.PNAS.org/content/112/23/7285 Has useful gene-exp. profiles of specific neural cell types
has profiles for 185 biomarker genes for 6 cell types
http://www.nature.com/nature/journal/v546/n7658/full/nature22402.html
#Zika virus evolution & spread in the Americas, by @sabeti_lab http://www.Nature.com/nature/journal/v546/n7658/full/nature22402.html #Phylogeny reconstruction of 110 new + 64 known seqs.