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Suggestion Parameters
Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Asymptomatic: No Health Issues_No_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

How do we know if the suggestions are reasonable/valid?

More information

Suggestions

To Add or Increase
Modifier (Alt Names on Hover) Confidence Foods Containing
🕮  thyme (thymol, thyme oil) 1 🍱
oregano (origanum vulgare, oil) | 0.775 🍱
syzygium aromaticum (clove) 0.719
foeniculum vulgare (Fennel) 0.673 🍱
🕮  berberine 0.587  📏
Curcumin 0.561  📏
triphala 0.544  📏
cinnamon (oil. spice) 0.538  📏 🍱
Ajwain (trachyspermum ammi) 0.475
neem 0.385  📏
nigella sativa seed (black cumin) 0.383
ginger 0.365
🕮  lactobacillus plantarum (probiotics) 0.322  📏
🕮  N-Acetyl Cysteine (NAC), 0.304  📏 🍱
coriander oil 0.3
🕮  garlic (allium sativum) 0.298  📏
🕮  high-fat diets 0.297 🍱
rosmarinus officinalis (rosemary) 0.292 🍱
🕮  Vitamin B-12 0.287  📏 🍱
Caffeine 0.283 🍱
salvia officinalis (sage) 0.271
peppermint (spice, oil) 0.266 🍱
anise 0.258 🍱
🕮  hypericin(St. John's Wort) 0.257
🕮  Hesperidin (polyphenol) 0.254  📏 🍱
🕮  lactobacillus casei (probiotics) 0.249  📏
xylaria hypoxylon (fungi) 0.244
oplopanax horridus(Devil's Club) 0.243
cinnamomum zeylanicum 0.231
allium cepa 0.231
🕮  thiamine hydrochloride (vitamin B1) 0.224  📏 🍱
lemongrass oil 0.213
Mango ginger(curcuma amada) 0.213
Opium poppy (Papaver somniferum) 0.213
cinnamomum tamala 0.213
bacillus laterosporus (probiotic) 0.206
🕮  tulsi 0.205  📏
vitamin b3 (niacin) 0.203  📏 🍱
chitosan,(sugar) 0.2  📏
lemon 0.191 🍱
bacopa monnieri 0.185  📏
Psyllium (Plantago Ovata Husk) 0.184 🍱
brassica juncea 0.182 🍱
Arbutin (polyphenol) 0.182  📏 🍱
diosmin,(polyphenol) 0.182  📏 🍱
🕮  pyridoxine hydrochloride (vitamin B6) 0.182  📏 🍱
luteolin (flavonoid) 0.182  📏 🍱
retinoic acid,(Vitamin A derivative) 0.182
rosehip tea 0.176
pomegranate blossom tea 0.176
papaya 0.176
olea europaea (olive leaf) 0.166  📏 🍱
chamomile (chamaemelum nobile) 0.163
cabbage 0.161
basil 0.159 🍱
schinus molle (herb) 0.159
red chiles (Capsicum) 0.158
fenugreek 0.155
🕮  vitamin d 0.149  📏 🍱
🕮  Peptide LL-37 0.146

To Remove or Decrease
Modifier Confidence Foods Containing
🕮  inulin (prebiotic) 0.646 🍱
bacillus subtilis (probiotics) 0.504
arabinoxylan oligosaccharides (prebiotic) 0.48
🕮  fructo-oligosaccharides (prebiotic) 0.464
🕮  lactulose 0.449
soy 0.369
resistant starch 0.328 🍱
wheat bran 0.326 🍱
🕮  galacto-oligosaccharides (prebiotic) 0.315
raffinose(sugar beet) 0.31 🍱
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.308 🍱
🕮  iron 0.275 🍱
🕮  Cacao 0.272 🍱
navy bean 0.239 🍱
almonds/ almond skins 0.239 🍱
high fiber diet 0.238
🕮  resveratrol (grape seed/polyphenols/red wine) 0.235 🍱
jerusalem artichoke (prebiotic) 0.234 🍱
Prescript Assist (2018 Formula) 0.215
sesame cake/meal 0.215 🍱
Conjugated Linoleic Acid 0.21 🍱
red wine 0.21 🍱
wheat 0.208 🍱
Prescript Assist (Original Formula) 0.207
🕮  Burdock Root 0.202
rhubarb 0.202 🍱
barley,oat 0.199
mediterranean diet 0.199
General Biotics Equilibrium 0.193
🕮  oligosaccharides (prebiotic) 0.185 🍱
ketogenic diet 0.185
blueberry 0.179 🍱
🕮  gum arabic (prebiotic) 0.178
🕮  pectin 0.178
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.172
chondrus crispus (red sea weed) 0.168
🕮  Pulses 0.168 🍱
dairy 0.167
non-starch polysaccharides 0.151
pea (fiber, protein) 0.15 🍱
oats 0.15 🍱
plantago asiatica l. 0.149
daesiho-tang 0.147
🕮  noni 0.147
fish oil 0.141 🍱
magnesium 0.141 🍱
🕮  wasabi 0.134
buckwheat 0.132 🍱
🕮  Agavins (agave sugar) 0.131
🕮  Reduce choline (Beef, Chicken Eggs) 0.131 🍱
high saturated milk fat diet 0.129 🍱
Miso 0.129
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.126
🕮  lactobacillus acidophilus (probiotics) 0.124
Lactobacillus Johnsonii (probiotic) 0.122
Astragalus 0.122
Cayenne 0.122 🍱
Cottage Cheese 0.122
vitamin a 0.121 🍱
fruit/legume fibre 0.119

🍱 Nutrients Modelled Food Suggestions [Large Page]  📹

NOTE: (Heparin, hyaluronan, or chondroitin sulfate) and Lactobacillus probiotics should not be taken concurrently.

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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.