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From: 
To: "jeevacationcrOmnail.corn" 
Subject: Real Press topics: thoughts? 
Date: Tue, 28 May 2013 16:11:35 +0000 
Attachments: Mount sinai alzheimers.docx 
> 
Hi Jeffrey, 
as said: 
There is a hierarchy of listing permancy on google: 
1. Wikipedia 
2. Personal websites 
3. Foundation Center. 
3. Real press (not press releases) 
I need the Foundation Center 990 form and I would like to create some real  press . (National Review, 
the Republic or NY Observer-- or whoever you know). Real Press should sit well on the 1st page, just 
like Huffington. 
To do this, to get you into the headline, I need something newsworthy. It's not enough to provide partial 
funding for something. 
Two things I can think of: 
• the 10th Anniversary of the Program for Evolutionary Dynamics. 
• a math model of late Alzheimer's. (Mount Sinai, Harvard) 
Late Alzheimer's. See rough draft of attached press release that I am sending out. I think there's an 
opportunity if you are interested, to get Martin Nowak on board with this project? He might already 
know of it. I could then get you in the headline as being the instigator: the idea would be to get the 
Program of Evolutionary Dynamics to review Mount Sinai's math model, revise and enhance it. 
What it is: 
Mount Sinai, Sage Bionetworks, in collaboration with Harvard, have created a mathematical model of 
the prevailing genes, gene expression and emanating biological pathways from the DNA of 376 
deceased patients with late Alzheimer's. Eric Schadt, PhD, an author of the study and Director of the Icahn 
Institute for Genomics and \1ultiscale Biology and Chair of the Department of Genetics and Genomic Sciences 
at Mount Sinai, said "Creating a predictive model of Alzheimer's disease is a landmark achievement, yielding 
valuable insights into the complex mechanism of the disease." Christopher Gaiteri, PhD, a co-lead author of the 
study and Senior Scientist at Sage Bionetworks, said, "In the same way that sophisticated predictive 
mathematical models drive decision making in the global financial markets (what stocks to buy, when to sell, 
etc.), the field of medical research has begun to rely on network models such as this to derive meaning from vast 
amounts of patient data, enabling better understanding and treatment of human disease." 
See full article here: http://www.prweb.com/releases/2013/4/prweb10669467.hun 
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