Forbes: Better Intuition is the Answer to Pharmaceutical R&D Productivity Crisis; CBCD Proposes New Technology to Boost Human Intuition

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An article published on December 14, 2013 on suggested that to save Pharma R&D, drug developers must clearly “choose the ‘best’ minimum set of experiments that yield the maximum predictive power available for the least dollars (1).” The Center for the Biology of Chronic Disease points out a new technology that improves predictive power by boosting human intuition.

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The results of a clinical study show that ‘Computer Intuition’ can predict clinical results. - CBCD

The answer to the pharmaceutical industry’s R&D productivity crisis, according to Index Ventures David Grainger, is drug developers “who think like the CEOs of lean startups, and excel specifically at “cutting out superfluous experiments,” and possess the “ability to incisively choose the ‘best’ minimum set of experiments that yield the maximum predictive power available for the least dollars (1).” In short, the article proposes hiring developers with great intuition. The article continues and suggests boosting their intuition by requiring the developers to have ‘skin in the game,’ such as “literally committing several years of their own careers, potentially, to the specific project they endorse (1).”

In other words, Mr. Grainger believes the answer to the pharmaceutical R&D productivity crisis are companies that employ scientists who use superior intuition, and as a result conduct early stage experiments that provide great predictive power.

The CBCD agrees in principle with this proposal. However, it’s not new and as described, has drawbacks. How does a pharmaceutical company find these human ‘rock star’ drug developers who “can offer the exact skills your problem requires (1)?” Under this proposal, a pharmaceutical executive would have to “embrace uncertainty and the need to make imperfect decisions under conditions of incomplete information, and to not just accept but really own a very high failure rate (1).”

The CBCD would like to suggest another method of boosting the developer’s intuition, which is more practical, tested, and proven. This technology is called ‘Computer Intuition.’

What is ‘Computer Intuition’?

Computer Intuition is a psycholinguistic-based data-mining program that analyzes scientific text and provides an ultra-cost-effective and proven predictive power. Computer Intuition helps scientists make better decisions with a high success rate.

In September 2013, the medical journal Pharmacology & Pharmacy, in a special edition on Advances in Antiviral Drugs, published a clinical study, which showed that the dietary supplement Gene-Eden-VIR is safe and effective. Gene-Eden-VIR was developed using ‘Computer Intuition.’ The results of this clinical study show that ‘Computer Intuition’ can predict clinical results.

“In 1996…a prototype of a psycholinguistic-based data-mining program that analyzes scientific text and assigns a rating to all ideas found in the text” was completed (2). “The higher the rating, the more (‘Computer Intuition’) hints at future events (2).”

“The following is a description of one prospective application of Computer Intuition. In 1995, Frederiksen published a paper entitled: Diagnostic Imaging in Dental Implantology. At the time, Frederiksen was one of the world leading experts on the subject. To test the pre-dictive power of the Computer Intuition analysis, Almog and Heisler from the University of Rochester devised a test. They conducted a Medline search for papers published between 1980 and 1996 using keywords relevant to the subject of diagnostics, imaging, and dental implantology.

The search identified 34 papers. The content of these papers was analyzed with Computer Intuition. The analysis produced three ideas. Two ideas were identical to the main conclusions described in Frederik-sen’s paper. This, by itself, was an impressive achievement. By using Computer Intuition, Almog and Heisler duplicated the results of a world leading expert quickly and inexpensively. However, while it took Frederiksen decades to build his expertise, Almog and Heisler acquired similar expertise within weeks (2).”

The authors of the study went on to note that the third idea suggested by Computer Intuition was a new technology. “This technology was not mentioned in Frederiksen’s paper. The three ideas were published in 1997. How predictive was the Computer Intuition analysis? In 2006, Almog, Frederiksen, and four colleagues, published a survey of the academic and commercial field of diagnostic imaging in oral implantology. In their paper, they reported an interesting observation.

Beginning in 2000, three years after the publication of the Computer Intuition paper, ‘numerous companies from technology-transfer and commercial standpoint have introduced technology platforms that offer planning and guidance systems to facilitate dental implant placement procedures’, the same technology proposed by the third idea three years earlier (2).”

The CBCD invites pharmaceutical executives to contact the Center to learn more about ‘Computer Intuition’ and how this forward thinking technology can help provide higher returns on investment, and be implemented as part of their R&D efforts.

We invite the media to contact us for interviews at: info (at)buy-gene-eden(dot)com or phone 585-250-9999.



(1)    To Save Pharma R&D, David Grainger Says Drug Developers Must Think Like CEOs Of Lean Startups. Published on December 14, 2013.


The Center for the Biology of Chronic Disease (CBCD, is a research center recognized by the IRS as a 501(c)(3) non-for-profit organization. The mission of the CBCD is to advance the research on the biology of chronic diseases, and to accelerate the discovery of treatments.

The CBCD published the “Purple” book by Dr. Hanan Polansky. The book presents Dr. Polansky’s highly acclaimed scientific theory on the relationship between foreign DNA and the onset of chronic diseases. Dr. Polansky’s book is available as a free download from the CBCD website.

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Hanan Polansky
Center for the Biology of Chronic Disease (CBCD)
+1 (585) 250-9999
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