In this talk I will be presenting the main highlights of what I consider a very important development in the Medical Sciences for acquiring a much better understanding of the human body by demonstrating how the unique mathematical properties of  SDF  would play a very significant role in the development of more advanced and reliable theoretical models  for the human body.   This would require performing a complete analysis only on those  "general"  analytical solutions   that can be obtained using the very unique computational feature of  SDF  on  the  Naiver-Stokes equations for the  "Mechanical"  aspect of the human body that is largely influenced from the general Mechanical properties of fluids    and on the Schrodinger equation for the “Chemical”  aspect of the human body.

Currently there exist no such advanced theoretical models of  the human body that would be  based entirely on general analytical solutions of  PDEs because of  the severe limitation of Calculus  which if successfully resolved by the method of  SDF would become immeasurable in terms of reducing our excessive dependency on the use of experimental models in favor of a more universal algebraic theory for the  Physical and Biological Sciences.
 

This course is a continuation of the first course that was given in Panama last year at the SIPS 2023 conference. Our primary objective for this year will always remain the same by providing a more transparent solution on the current major limitation of Calculus in terms of not being able to establish some form of a unified theory of analytical integration.

The complete mathematical solution that was presented at the last SIPS Workshop was described in the form of Specialized Differential Forms or SDF for short with some major applications in the field of the Physical Sciences that would include Fluid Dynamics, Mechanics of Material, Quantum Mechanics and even in Cosmology. We will be demonstrating at this Workshop how the unique mathematical properties of SDF would play a major role in the development of more reliable theoretical models of the human body by working only with the general analytical solutions of the Navier-Stokes equations for the Mechanical aspect and the Schrödinger equations for the Chemical aspect of the human body.

Currently there exist no such theoretical models of the human body that would be based entirely on general analytical solutions of PDEs because of the severe limitation of Calculus which if successfully resolved by the method of SDF would become immeasurable in terms of reducing our excessive dependency on the use of experimental models in the Physical and Biological sciences.

This course is a continuation of the first course that was given in Panama last year at the SIPS 2023 conference. Our primary objective for this year will always remain the same by providing a more transparent solution on the current major limitation of Calculus in terms of not being able to establish some form of a unified theory of analytical integration.

The complete mathematical solution that was presented at the last SIPS Workshop was described in the form of Specialized Differential Forms or SDF for short with some major applications in the field of the Physical Sciences that would include Fluid Dynamics, Mechanics of Material, Quantum Mechanics and even in Cosmology. We will be demonstrating at this Workshop how the unique mathematical properties of SDF would play a major role in the development of more reliable theoretical models of the human body by working only with the general analytical solutions of the Navier-Stokes equations for the Mechanical aspect and the Schrödinger equations for the Chemical aspect of the human body.

Currently there exist no such theoretical models of the human body that would be based entirely on general analytical solutions of PDEs because of the severe limitation of Calculus which if successfully resolved by the method of SDF would become immeasurable in terms of reducing our excessive dependency on the use of experimental models in the Physical and Biological sciences.