Channel
@AI_in_BiomedicalData
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
125subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002368955889 |
|---|---|
| Type | Channel |
| Username | @AI_in_BiomedicalData |
| Description | تحلیل دادگان پزشکی با یادگیری ماشین و شبکه های عصبی عمیق ارتباط با من: @mb_khodabakhshi |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/AI_in_BiomedicalData |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 16:15 | 125 | no change |
| 10 Aug 2026, 16:01 | 125 | first reading |
20 posts held, back to 24 November 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 1 pageof 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 20 posts for this entry, the most recent from 31 December 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
8 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🙏 | 6 | 75.0% | |
| 👎 | 2 | 25.0% |
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 4 of the 20 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 24 November 2025 to 31 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
با توجه به تعطیلی آموزش حضوری در هفته آینده، ازمون عملی لغو می شود. در عوض برای سمینار پایانی میبایست مقالات انتخاب شده به طور کامل پیاده سازی شود. در روز ارائه سمینارها، کدهای پیاده شده به طور کامل مورد ارزیابی قرار خواهد گرفت در نتیجه در اسرع وقت مقالات انتخاب شده رو از طریق ایمیل برای من ارسال کنید.
🙏4
آزمون عملی میان ترم روز یکشنبه ۱۴ دی از ساعت ۱۱:۳۰ برگزار خواهد شد. برخلاف اعلام قبلی، با توجه به کافی نبودن امکانات نرم افزاری سایت کامپیوتر، توصیه میشود دانشجویان محترم از لپ تاپ شخصی استفاده کنند. در لپتاپ نرم افزار VS code به همراه پکیج های پرکاربرد شامل numpy, matplotlib, scikit-learn, opencv,... و همچنین فریمورکهای Tensorflow , PyTorch آماده بهره برداری باشد. همچنین استفاده از محیط Kaggle هم مجاز خواهد بود.
👎2
از خانم ها: مهندس فاطمه کریمی مهندس فاطمه منتظر آقایون: مهندس علیرضا جوادی مهندس امیرحسین فولادی مهندس فردین قادری برای قبول زحمت تدریس یاری در این نیمسال متشکرم. 🟢مبحث تدریس شده attention & transformers آخرین کلاس حل تمرین و آخرین تمرین پیاده سازی بود. 🔸هفته آینده با تدریس آخرین مبحث در خدمت شما خواهم بود. 🟩آزمون پایانی کتبی از تمام فصول تدریس شده خواهد بود. ☑️به زودی ویدیوهای مبحث یادگیری تقویتی( Reinforcemen…
🙏2
تاریخ آزمون میان ترم (عملی): ۱۴ دی در محل سایت کامپیوتر دانشکده از ساعت ۱۱:۳۰ از مباحث مرتبط با تمرینات CNN , RNN
فایل ریکورد شده حل تمرین سوالات تمرین کد پایتون مهلت تحویل تمرین روز ۱۰ دی ماه ارسال به ایمیل: [email protected]
لینک شرکت در کلاس: https://meet.google.com/idz-kpsm-wfc
سلام، کلاس حل تمرین دوشنبه ۱۰/۱ با موضوع «تولید گزارش پزشکی برای تصاویر xray قفسه سینه با استفاده از شبکه ترنسفورمر »، ساعت ۱۹ در بستر گوگل میت برگزار خواهد شد.
اسلایدهای فصل ۷: Attention mechanism and Transformers
لینک شرکت در کلاس: https://meet.google.com/apc-ryae-tdp
کلاس رفع اشکال تمرینات، امروز (سهشنبه) ساعت ۱۹ در بستر گوگل میت برگزار میشود
اسلایدهای فصل ۶- autoencoder
ویدیوی جلسه 7-1 : اتوانکودر https://drive.google.com/file/d/1pR5t_tmFeJauvK86i0GHM5aEOMSpkPiI/view?usp=sharing ویدیوی جلسه 7-2: VAE, and Domain adaptation https://drive.google.com/file/d/1rcZ18hJlmKeorx3VnGuy-S5hqJcSaOYJ/view?usp=sharing
Showing the 12 most recent of 20 posts we hold for @AI_in_BiomedicalData. 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.
Citation-graph rank — 1,279,793 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“AI_in_BiomedicalData” (@AI_in_BiomedicalData), 125 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/AI_in_BiomedicalData.
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.