Jeffrey Epstein – Computational Biology: Pattern Prediction in Biology

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Computational Biology: Pattern Prediction in Biology

Computational Biology is the use of Quantitative Tools, Data Analytics, Mathematical Modelling and Computational Simulation Techniques to the Study of Biological, Behavioral, and Social Systems. Computational Biology has been very effective when collecting large Data Sets and has helped Sequence the Human Genome, create accurate Models of the Human Brain, and assist in Modeling Biological Systems.

Computational Biomodeling, which builds Computer Models of Biological Systems, often uses Visual Simulations to assess the Complexity of Biological Systems. Biomodelling specifically uses specialized Algorithms and Visualization Software, which help with the Prediction of how Bio Systems will react under different Environments.

Subsets of Computational Biology includes, Computational Genomics, Neuroscience and Pharmacology. Cancer Computational Biology aims to determine the Future Mutations in Cancer through an Algorithmic Approach to analyzing Data. Research in this field has led to the use of High Throughput Measurement. High Throughput Measurement allows for the gathering of millions of Data Points using Robotics and other Sensing Devices. This Data is collected from DNA, RNA, and other Biological Structures. Areas of focus includes determining the characteristics of Tumors, analyzing Molecules that are deterministic in causing Cancer, and understanding the how the Human Genome relates to the causation of Tumors and Cancer.

What all of these Sub Fields have in common is isolating Key Patterns in our Biology. Pattern Determination, the Exceptions and Derivatives, all stem from Linear Thinking, a type of Analysis that relies on Cause and Effect, the only form of Analysis that we know, an Analysis that has helped humans survive and thrive. It is the basis of Artificial Intelligence. But when we learn, if ever, to emerge from the World of Sequences and sensitize ourselves to other Forms of Occurrences, Artificial Intelligence and Computational Biology will more closely mirror the Undocumented Quivering of Nature.

Jeffrey E Epstein is an Investment Manager and Science Philanthropist who currently serves as the Chairman and Chief Executive Officer of the Financial Trust Company. Mr Epstein started his career at Bear Stearns with an Educational Background in Physics. He has been a Trustee of Institute Of International Education Inc since October 2001.

Mr Epstein is a Member of the Trilateral Commission, the Council on Foreign Relations, the New York Academy of Science and a former Rockefeller University Board Member. Mr. Epstein is also actively involved in the Santa Fe Institute, the Theoretical Biology Initiative at the Institute for Advanced Study, the Quantum Gravity Program at the University of Pennsylvania, and also sits on the Mind, Brain & Behavior Advisory Committee at Harvard.

Jeffrey Epstein’s philanthropic affiliations include the Jeffrey Epstein Foundation, the Florida Science Foundations and The COUQ Foundation. He is a member of the Edge community, an internationally respected group of thinkers and achievers.

Tuesday, February 26, 2013, Posted by Jeffrey Epstein at 11:09 AM

https://www.jeffreyepsteinscience.com

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https://beforeitsnews.com/banksters/2021/05/jeffrey-epstein-computational-biology-pattern-prediction-in-biology-2437290.html

Computational Biology: Pattern Prediction in Biology

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