The following article uses diabetes without
clarifier -7- times, every single instance of
the following diabetes parade, dead wrong,
enemy of truth (article dated July 13 2021): https://www.intelligentliving.co/ai-tool-predicts-diabetes-risk-under-three-seconds/

The -1- and ONLY -1- of the -85- specific
types of -7- Disparate High Glucose Con-
ditions being referred to in that article is

P R E V E N T A B L E . C E L L O S I S

The article has nothing to do with any of
the following DHGCs:

o all 15 specific types of rapid onset Islit

o the sole specific type of slow onset Latent
Autoimmune Islit

o the sole specific type of temporary transitory
Gestational Cellosis (weight gain caused by
pregnancy, the condition reversed within a few
weeks after the end of pregnancy -unless- the
pregnancy weight gain continues, raising the
risk of getting Preventable Cellosis)

o all 25 specific types of Ohiglucons

o all 11 specific types of Diminosis

o all 12 specific types of Neonatal Diminosis

o 20 specific types of unpreventable Cellosis

Also not being referred to in the article, the
mostly non-glucose anomaly of Insipidus, -6-
specific types.

Translation of that article using the correct
new superior clarifying term PREVENTABLE
CELLOSIS to accurately convey the sole con-
dition the article is referring to:

New AI Tool Predicts PREVENTABLE
CELLOSIS Risk In Under Three Seconds

For quite some time now, fat accumulation
around the heart has been linked with cardio-
vascular and metabolic disease. However,
until now, there hasn’t been a simple way to
measure it. A team from the Queen Mary
University of London has developed a new ...

... artificial intelligence (AI) tool that can auto-
matically quantify these fat deposits from reg-
ular MRI scan images.

There is a particular collection of fat tissue
surrounding the surface of the heart called
Pericardial adipose tissue (PAT). High levels
of PAT (separate from body mass index and
body weight) have been associated with a
more significant risk of coronary heart ...

... disease and PREVENTABLE CELLOSIS.
However, the relationship has remained a
hypothesis due to measurement challenges
and limitations.

Currently, the best way to measure PAT lev-
els is via computed tomography (CT) scan.
There are some downfalls, though. CT scans
expose patients to low but relevant levels of
ionizing radiation, restricting researchers to
ethically measure PAT volumes in large, di-
verse cohorts of healthy volunteers.

... the study’s lead researcher, said: “To ad-
dress this problem, we’ve invented an AI
tool that can be applied to standard heart
MRI scans to obtain a measure of the fat
around the heart automatically and quickly,
in under three seconds.”

The researchers validated that the tool could
accurately measure total PAT volumes from
cardiac MRI scan images. The tool’s accur-
acy was evaluated using several indepen-
dent datasets.

First, the team looked at a massive UK Bio-
bank dataset of more than 45,000 people to
demonstrate the tool’s clinical potential.

Next, the AI tool measured PAT levels and
then looked at the links between PAT and
PREVENTABLE CELLOSIS.

Impressively, the tool accurately evaluated
a patient’s PREVENTABLE CELLOSIS risk
based on the amount of fat it measured
around the heart.

However, the study’s lead researcher high-
lights that this doesn’t mean the tool is ideal
for a diagnostic test for the -7- Disparate
High Glucose Conditions but instead sheds
light on how associations between disease
and PAT levels can now be effectively exam-
ined.

The study’s lead researcher explained: “This
tool can be used by future researchers to dis-
cover more about the links between the fat
around the heart and PREVENTABLE CEL-
LOSIS risk, but also potentially in the future,
as part of a patient’s standard care in hospital.”

According to the team, the tool is ready to be
used in new clinical research. This is exciting
news because it’s the first time PAT levels can
be easily measured in large cohorts of people.

The study was published on July 7, 2021, in
Frontiers in Cardiovascular Medicine.

... an overseer on the study foresees this tool
moving into clinical applications if further inves-
tigation verifies PAT measures alongside PRE-
VENTABLE CELLOSIS risk. “This novel tool
has high utility for future research and, if clin-
ical utility is demonstrated, may be applied ...

... in clinical practice to improve patient care.
This work highlights the value of cross-disci-
plinary collaborations in medical research,
particularly within cardiovascular imaging,”
the overseer added.

In 2020, engineers from the University of Cali-
fornia, San Francisco, developed a technique
that doesn’t require additional tools other than
a smartphone camera to detect PREVENTABLE
CELLOSIS with 80% accuracy.

Its inability to detect all of the nonpreventable
DHGCs, -84- specific types & the mostly non-
glucose anomaly Insipidus, -6- specific types,
the article disgracefully failed to say anything
about that, also disgracefully failing to men-
tion their PAT methodology solely referred ...

... to -1- & ONLY -1- specific type of DHGC,
PREVENTABLE CELLOSIS!

~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~

The old confusing way which all-too-often
involves folks using the diabetes / diabetic
words without a clarifier:

diabetes / diabetic without a clarifier,
diabetes / diabetic guessing required
https://prohuman.net/pix2/diabetesdiabeticguessinggame.jpg

- - -

Pro-Humanist FREELOVER, promoting
since May 17 2010 putting an end to all
outdated confusing misleading diabetes/
diabetic ways of referring to each and all
of Disparate High Glucose Conditions
(DHGCs) and one mostly non-glucose ...

... anomaly and one low glucose anomaly
which uses an outdated confusing reactive
hypoglycemia term, ...
https://prohuman.net/pix2/diabetesdiabeticconfusion.jpg
https://prohuman.net/pix2/diabetesdiabeticendingthemisunderstanding.jpg

... replacing all of that with new superior
clarifying medical terms which hopefully
will end diabetes/diabetic/reactive hypo-
glycemia confusion & misleading, putting
an end to the use of those terms, totally:
https://prohuman.net/pix2/diabetesbubblediabetesbubblebursttitle.jpg
https://prohuman.net/pix2/diabetesreactivehypoglycemiaoldnamesnewnames.jpg
https://prohuman.net/pix2/oldnamesnewimprovednames.jpg

o There are 15 specific types of rapid
onset Insulinitis (Islit). I've had
Insulitis Islit (the predominate type)
since March 1961, age 5.
https://prohuman.net/pix2/new_superior_clarifying_name_is_INSULINITIS.jpg

o There is 1 slow onset type of Islit,
Latent Autoimmune Islit.

o There are 21 specific types of the
most widespread DHGC which is present
in up to 95% of those with any DHGC,
Cellosis, new clarifying name for
type 2 diabetes, its precondition is
called PreCellosis.

The only preventable/reversible DHGC is
Preventable Cellosis, new clarifying spe-
cific type of the preventable type 2 dia-
betes, estimated to be the type that at
least 85% of Americans with Cellosis have.

Risk for Preventable Cellosis, Hyperten-
sion, & Cardiovascular Disease increases
as one's weight increases but BMI risk in-
creases at lower BMI levels in non-white
individuals: https://prohuman.net/pix2/BMI-WaistCircumference-Cellosis&Hypertension&CardiovascularDisease-Risk.jpg
https://medicalxpress.com/news/2021-05-bmi-offs-obesity-diabetes-non-white.html

o There is 1 specific type of DHGC that
happens in < 10% of pregnancies called
Gestational Cellosis.

o There are 11 specific types of dimin-
ished insulin production, monogenic
conditions called Diminosis.

o There are 12 specific type of dimin-
ished insulin production that happens
up to 6 months after birth, monogenic
conditions called Neonatal Diminosis.

o There are 25 specific types of contin-
ued but problematic DHGCs referred to
as Ohiglucons (Other High Glucose Con-
ditions).

o There are 6 specific types of a mostly
non-glucose anomaly called Insipidus.

o There are 21 specific types of Hypogly-
cemia Uncaused by Treatments for High
Glucose (Hut).

Details on all of those DHGCs / a mostly
non-glucose anomaly / a low glucose anom-
aly:

Diabetes Bubble / Diabetes Bubble Burst
Wonderful! https://prohuman.net/diabetesbubblediabetesbubbleburst.htm

C.ure I.nsulinitis A.ssociation
Ideal! https://prohuman.net/cureinsulinitisassociation.htm

Glucose Anomalies Research regarding
Potential Cures / Improvements in Treatments
Hopefully! https://prohuman.net/glucoseanomaliesresearch.htm

- - -

Those who favor new terms, the following
is inspirational:

I Do Not Like Diabetes Here or There,
I Do Not Like Diabetes Anywhere
https://smile.amazon.com/Not-Like-Diabetes-Anywhere-shirt/dp/B01N25FMMI/ref=pd_d0_recs_v2_cwb_193_3?_encoding=UTF8&refRID=WJHV2S8X0YG21Z9WVQD5&th=1

See No
Speak No
Hear No
DIABETES
Faith Will Make It So
https://smile.amazon.com/CafePress-Speak-Diabetes-Unique-Coffee/dp/B014JS6QDI/ref=sr_1_2_sspa?s=home-garden&ie=UTF8&qid=1513534468&sr=1-2-spons&keywords=diabetes+cup&psc=1

Syllables - Comparison of old
diabetes terms / new terms
https://prohuman.net/diabetesoldtermsnewtermssyllables.htm

Stop Diabetes/Diabetic Confusion
with New Superior Clarifying Terms https://www.change.org/stopdiabetesdiabeticconfusionwithNewSuperiorClarifyingTerms

~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~ ~!~

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