Type of Anemia👆🏻👆🏻
❤3

Channel
@me_dical
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
8,895subscribers
-5 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001454366521 |
|---|---|
| Type | Channel |
| Username | @me_dical |
| Description | قناتنا تهدف لتبادل المصادر العلمية و المعلومات الطبيه والصحيه بين الطلاب والموظفين والباحثين في مجال المختبرات الطبية والطب عموما (نرحب بالتمريض والأطباء وذوي الإختصاص جميعاً) 🩺📚 |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/me_dical |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 16:17 | 8,895 | -5 |
| 14 Aug 2026, 19:30 | 8,900 | no change |
| 14 Aug 2026, 19:21 | 8,900 | first reading |
13 posts held, back to 10 October 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 2 pagesof 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 13 posts for this entry, the most recent from 6 February 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
11 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 90.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 90.9% | |
| 👏 | 1 | 9.09% |
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 6 of the 13 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 10 October 2025 to 6 February 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.
Type of Anemia👆🏻👆🏻
❤3
ما هي السيتوكينات (Cytokines)؟ • السيتوكينات هي جزيئات بروتينية صغيرة تفرزها الخلايا، خاصة خلايا الجهاز المناعي، وتعمل كوسائط اتصال بين الخلايا. • هدفها الأساسي هو تنظيم الاستجابة المناعية والالتهابية. • تنقسم إلى أنواع كثيرة، منها: • Interleukins (ILs) مثل IL-1, IL-6, IL-8 • Tumor Necrosis Factor (TNF) • Interferons • Chemokines (تنظم حركة الخلايا المناعية) ⸻ كيف تُفرَز السيتوكينات؟ • عند حدوث إصابة أو عدو…
❤1👏1
✅ لماذا يُطلب التحليل في اليوم 2 أو 3 من الدورة في بداية الدورة (عادة يوم 1 هو أول يوم نزول دم الطمث الكامل) يدخل الجسم في مرحلة الجُريبيـة المبكرة (early follicular phase) حيث تكون الغدد والمبايض في حالة “بداية” ولا تزال التغيرات الهرمونية الكبرى لم تبدأ بعد. في هذا اليوم تكون هرمونات مثل Follicle‑Stimulating Hormone (FSH) و Luteinizing Hormone (LH) و Estradiol (E2) عند “خط الأساس” (baseline) — أي ليست مرتفعة أو م…
❤1
Photo, posted without a caption
من اهم الحاجات اللى لازم يعرفها العاملون في التحاليل الطبية هي اساسيات حفظ العينات بطريقة صحيحة حتى تكون النتائج دقيقة و موثوق بها وفي هذا البوست بنتكلم باختصار عن اساسيات حفظ العينات بشكل عام و نخصص الحديث لبعض العينات المتداولة (1) لابد من فصل السيرم او البلازما من العينة بشكل سريع (اغلب المراجع بتقول within 2 hours مع ملاحظة انه فى عينات السكر لازم الفصل فى وقت اقل) (2) المتعارف عليه ان درجة حرارة الحفظ (للسيرم…
❤3
Immunoglobulins👆🏻👆🏻
Photo, posted without a caption
المنشور للتثقيف الصحي وزيارة واستشارة الطبيب شيء مقدس وأساسي .
#تحاليل_المناعة_Immunological_tests) تُستخدم لتقييم حالة الجهاز المناعي: هل هو ضعيف؟ مفرط النشاط؟ أم يهاجم نفسه؟ 🧬 أولاً: #التحاليل_الأساسية_للمناعة 1. #Total_Immunoglobulins (IgG – IgA – IgM – IgE – IgD) 🔹 القيم الطبيعية التقريبية: IgG: 700 – 1600 mg/dL IgA: 70 – 400 mg/dL IgM: 40 – 230 mg/dL IgE: <100 IU/mL (تختلف حسب العمر) IgD: نادر القياس (<14 IU/mL) 🔹 ماذا يزيدها: IgG: العدوى المزمنة (Tuberculosis, H…
آلية رئيسية للتحكم في الشهية والوزن MC4R هو مستقبل مهم يتم تنشيطه بواسطة هرمون الببتيد MSH. الطفرات في MC4R هي من بين الأسباب الوراثية الأكثر شيوعا للسمنة الشديدة. باستخدام مجهر الفلورسينس الحديث والتصوير الواحد الخلية، أظهر الفريق أن بروتين ملحق مستقبلات الميلانوكورتين 2 (MRAP2) يغير بشكل أساسي توطين وسلوك مستقبلات الدماغ MC4R داخل الخلايا. أظهرت أجهزة الاستشعار البيولوجية الفلورسنت والتصوير البؤري أن MRAP2 ضروري …
❤1
Photo, posted without a caption
#دائرة_صحة_ذي_قار #اعمام 🟧 دائرة صحة ذي قار تعمم كتابها إلى المؤسسات الصحية كافة وأقسام الدائرة كافة حول ادخال كافة المنتسبين بالبصمة الذكية دون اي استثناء او إعفاءات من البصمة وإلزام الجميع المنتسبين بأخذ بصمة الحضور والانصراف ويتحمل مدير المؤسسة كافة التبعات .. #هشام_العسكري
❤1
Showing the 12 most recent of 13 posts we hold for @me_dical. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“الكليه الصحيه والطبيه وصيدله❤️” (@me_dical), 8,895 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/me_dical.
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.