Unicist Thinking

Clinical trial paradigms are changing

 in B) Lifesciences / The Unicist Research Institute / Unicist Cobots  tagged Clinical research / Clinical trials / Healthcare Cybernetics / Intelligent Systems / Medical Cybernetics / Unicist Evolutionary Approach / Unicist Thinking by

A couple of years ago Wyeth introduced a new R&D protocol in drug development. It was named “Learn & Confirm” and relies most heavily on biomarkers and pharmacogenomic approaches.

As part of Learn and Confirm, Wyeth drug-development teams were encouraged to examine each compound coming through the pipeline for ways that the company can employ a biomarker-based or pharmacogenomic approach that can help move it downstream.

This R&D Methodology was based on the research developed by Lewis B. Sheiner synthesized in the paper  “Clinical Pharmacology and Therapeutics”

This methodology is naturally consistent with the unicist complexity research methodology.  Therefore we working with CROs to expand this technology using the unicist healthcare cybernetic approach synthesized in the Unicist Cyberstation.

Diego Belohlavek

NOTE: We suggest you register in this “Conceptual Knowledge Reservoir” to receive updates on the new developments:
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Who can manage ontological solutions for Adaptive Systems?

 in B) Lifesciences / E) Complexity in Healthcare / The Unicist Research Institute / Unicist Cobots  tagged E) Complexity in Healthcare / Healthcare Cybernetics / Ontology / The Weston Group / Unicist Evolutionary Approach / Unicist Thinking by

Simple thinking is unicist thinking. To deal with unicist ontological solutions individuals have to need to produce results and have a basic solution in their minds.

unicist-thinkingAn individual can only apprehend an ontological algorithm to manage an adaptive system if s/he can recognize it.

To recognize it the individual needs to have the concept of a solution in order to be able to compare it with the solution provided by the ontological algorithm.

People who have problems and not solutions in their minds cannot recognize ontologies. They need to rationalize them, transforming them into rationalisms.

Unicist algorithms are only necessary to manage adaptive systems. They are unnecessary for administrative functions.

An analogy will explain the difference between both. An administrative system is a simple procedure that uses forward-chaining thinking approaches:

1 + 1 = 2 is a simple administrative system that is solved by knowing how the adding process has to be done.

On the other hand, adaptive systems are complex. Their elements are interdependent and the only observable behaviors are their results:

2 = ∞ alternatives. This means that an individual has to find the best solution that achieves the result. This implies working with backward-chaining thinking approaches.

Backward thinking implies being able to think from the end to the beginning. Consider a mounting line. It is the capacity of an individual to decompose the final “product” into its components.