I am currently fostering the field of Ecoimmunology which focuses on the interactions of biotic and abiotic factors within a defined system across space and time to observe and make inferences regarding how environment and species of interest may be a component in their life history traits or phenotype across trophic levels. Thus, providing an additional metric of how to determine mechanism by consideration of tropism, adaptation, and niche selective factors from comparative findings across the translational and basic research findings to determine convergent and divergent biotic and abiotic factors across studies and fields to provide a co…
I am currently fostering the field of Ecoimmunology which focuses on the interactions of biotic and abiotic factors within a defined system across space and time to observe and make inferences regarding how environment and species of interest may be a component in their life history traits or phenotype across trophic levels. Thus, providing an additional metric of how to determine mechanism by consideration of tropism, adaptation, and niche selective factors from comparative findings across the translational and basic research findings to determine convergent and divergent biotic and abiotic factors across studies and fields to provide a composition of conditions and correlative and non correlative results which would provide context for evaluating concepts like disruptive, directional, and stabilizing selection and niche habitat selection factors historically used for organismal level field research in ecology and evolution.
“…variation itself is nature’s only irreducible essence. Variation is the hard reality…” from The Median Isn’t the Message by Stephen J. Gould
So how do we adapt to the hard reality of variation?
We use controls, control samples which provide a secondary artificially conditioned micro-environment in non-clinical trials.
For the last decade emergent technology which has provided an avenue to interest to current comparative biological and in turn algorithmic biological perspectives, which iterate off of comparisons to a standard with which to scale experimental design probability on prior results, technology available, one’s own developed intellectual niche to formulate diverse angles from which to develop hypothesis relevant to any given data set under specific contexts.
This in turn provides trait diversity to select from with respect to interdisciplinary investigations required for comprehensive assessment of neutrophils.
Knowing where to look, if niche specificity is indeed influencing neutrophil behavior, and more importantly, how to build an agreed upon library to compare to, which carries the same semantic prescriptive nomenclature in emergent neutrophil genetics and trait evaluation. An example to underscore is seen in historical ecology research conducted by Planka and formally assessed by Reznik.
Another example can be found in Shannon indexing of speciation when evaluated through formal logic.
Therefore it is important to come to an agreement on definitions and approach to evaluating both basic and translational research methods, results, and where they diverge with respect to the hard reality of impossibly uncontrolled environment and trait evaluation, to incorporate data into the next set of experiments performed with the information at hand to develop hypotheses to engineer immunotherapies, improve diagnostics, and harness both basic and translational research and outcomes to further define immune cell state, and learn about health from diseases and diseases from health