Sample: | A Priori (from theoretical deduction) | |
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Bacteria Selection: | Outside of Range | |
Filter: | From Special Studies: Inflammatory bowel disease | |
Rank Used: | All Ranks | |
Shifts Used: | High and Low Levels | |
Citations Used: |
How do we know if the suggestions are reasonable/valid?
๐ฑ Food Menu Planner ๐ฝ๏ธ ๐น How are suggestions determined
The following will shift items that are too high to lower values and values that are too low to higher values.
Items will feed or starve specific bacteria.
The recommended process to obtain a persistent shift of the microbiome is:
Generate 4 lists from the suggestions with nothing repeated on another list
Emphasize one list each week
After 8 weeks (2 cycles), retest the microbiome to obtains the next set of course corrections
This approach allows the microbiome to stablize towards normal.
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All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.
Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine
This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.
Copyright 2016-2023 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 ยงโฏ1030, CETS No.185, CFAA
Use of data on this site is prohibited except under written license. There is no charge for individual personal use. Use for any commercial applications or research requires a written license.
Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.
Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
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