Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 88% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
18 measurements spanning 29 days, net -12. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 10,388–10,408 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:59
10,394
+4
16 Sept 2026, 13:36
10,390
-6
14 Sept 2026, 19:21
10,396
-2
13 Sept 2026, 06:40
10,398
+2
11 Sept 2026, 12:17
10,396
+2
8 Sept 2026, 19:40
10,394
-9
3 Sept 2026, 13:20
10,403
-2
31 Aug 2026, 05:17
10,405
-1
30 Aug 2026, 03:14
10,406
+2
29 Aug 2026, 02:34
10,404
+2
28 Aug 2026, 04:48
10,402
-1
27 Aug 2026, 03:54
10,403
-2
26 Aug 2026, 01:57
10,405
-1
25 Aug 2026, 04:54
10,406
+3
24 Aug 2026, 05:17
10,403
+1
22 Aug 2026, 14:15
10,402
-4
21 Aug 2026, 05:08
10,406
no change
20 Aug 2026, 18:45
10,406
first reading
Engagement
18 posts held, back to 18 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 22 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
91 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 89.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
81
89.0%
👍
8
8.79%
👌
2
2.20%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 13 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 91 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 18 May 2025 to 22 June 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🔬 Granular Cell Tumor… نفس التشخيص، لكن بوجوه مختلفة
Granular cell tumor ورم حميد نادر منشأه الخلايا العصبية Schwan cells ...
هنا حالتين.. حالة في 2026 وحالة وأخري منذ 4 سنوات
Case in 2022:
بدت إكلينيكيًا أقرب إلى Choristoma انتهت بتشخيص:
🔬 Granular Cell Tumor
يمكن الإطلاع علي تفاصيلها من هنا
https://www.facebook.com/share/p/1DamodqkY8/
ومؤخرًا 2026 حالة أخرى بصورة سريرية مختلفة ويلاحظ أنها قد يتبادر الذهن …
Pseudoepitheliomatous Hyperplasia: When granular cell tumor grows under an epithelial surface (either skin or a mucosal surface such as tongue), the overlying squamous epithelium often shows pseudoepitheliomatous hyperplasia which may be misdiagnosed as squamous cell carcinoma.
How much can we trust a pericoronal radiolucency?
⚠️تبدو صورة الأشعة واللوهلة الأولى ك dentigerous cyst..
➡️Pericoronal radiolucency
➡️Unilocular appearance
➡️Impacted wisdom tooth
➡️Apparent attachment near CEJ
ولكن كان للباثولوجي رأي آخر .. 😲😲
بعد الاستئصال وفحص العينة، كان التشخيص النهائي:
Odontogenic Keratocyst (OKC).
وبالتالي يطرح السؤال التالي:
Can OKC mimic a dentigerous cyst?
والإجابة نعم ..وربما بش…
Showing the 12 most recent of 18 posts we hold for @dremanhamdy. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Dental Courses @dentalcoursez · 42,212 Telegram ranks this channel #38 of 59 here — alongside 58 others — read 29 August 2026
Egyptian Board official channel البورد المصري @egyfellowofficalchannel · 68,811 Telegram ranks this channel #50 of 76 here — alongside 75 others — read 20 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Dr .Eman Hamdy ..oral and maxillofacial surgery” (@dremanhamdy), 10,394 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/dremanhamdy.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.
