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Инновации в фармацевтике

@chemrarpharma

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

13,181subscribers

-8 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001380167234
TypeChannel
Username@chemrarpharma
Created30 August 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/chemrarpharma

Growth

13,18113,18913,1856 August 2026 — 13,189 subscribers6 August 2026 — 13,187 subscribers8 August 2026 — 13,188 subscribers9 August 2026 — 13,186 subscribers10 August 2026 — 13,182 subscribers11 August 2026 — 13,185 subscribers12 August 2026 — 13,186 subscribers13 August 2026 — 13,181 subscribers14 August 2026 — 13,182 subscribers16 August 2026 — 13,181 subscribers6 August 202616 August 2026
10 measurements spanning 10 days, net -8. 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 13,180–13,190 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 06:5813,181-1
14 Aug 2026, 17:0913,182+1
13 Aug 2026, 09:0413,181-5
12 Aug 2026, 12:1413,186+1
11 Aug 2026, 13:4213,185+3
10 Aug 2026, 14:5313,182-4
9 Aug 2026, 11:3213,186-2
8 Aug 2026, 11:1813,188+1
6 Aug 2026, 13:1013,187-2
6 Aug 2026, 08:0113,189first reading

Engagement

22 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.9%
avg views ÷ 13,181 subscribers
Avg views / post
1,440
22 posts measured
Reaction rate
0.939%
reactions ÷ views · ER floor
Posts in window
22
of 22 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 August 2026
Posts held22 (20 July 202614 August 2026)
Views total31,633
Reactions total297
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 11:47 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

264 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 31.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8231.1%
7628.8%
🔥7628.8%
🥰134.92%
🙏72.65%
😁41.52%
😢20.758%
🤔20.758%
👏10.379%
🤯10.379%

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 22 of the 22 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 297reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 20 July 2026 to 14 August 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.

Recent posts

14 Aug 2026, 06:07 UTC778 views10 reactionsread 15 August 2026
Photo

Британские учёные будут выращивать миниатюрные человеческие органы для тестирования лекарств Миниатюрные человеческие органы и другие ткани планируется выращивать из клеток пациентов британской NHS в рамках программы по совершенствованию тестирования лекарств и сокращению числа исследований на животных. На реализацию этого проекта Совет по медицинским исследованиям (Medical Research Council) выделил исследовательск

👍62🔥2

13 Aug 2026, 10:11 UTC955 views22 reactionsread 15 August 2026
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Учёные МФТИ выяснили, что нейросети дают сбой при разработке новых лекарств Исследователи протестировали четыре популярных алгоритма: AlphaFold 3, Boltz-2, Chai-1 и Protenix-v1 и выяснили, что искусственный интеллект, применяемый для моделирования будущих лекарств, может давать систематические ошибки. ИИ не учитывает важную деталь — электрический заряд молекул. Дело в том, что многие вещества в живых организмах мог

12🔥4😁4😢2

12 Aug 2026, 07:46 UTC≈1,040 views6 reactionsread 15 August 2026
Photo

В России создают технологию выращивания новых зубов взамен утраченных Учёные из Российского университета медицины Минздрава РФ освоили технологию выделения стволовых клеток из удаленных молочных зубов. По словам разработчиков, это серьезное подспорье для формирования криобанка стволовых клеток, из которых в дальнейшем можно было бы выращивать зачатки зуба и производить пересадку. Особенно это важно для людей, лишив

🔥6

11 Aug 2026, 08:36 UTC≈1,010 views2 reactionsread 15 August 2026
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BMS построит масштабный производственный объект в Хьюстоне Bristol Myers Squibb вложит $2,3 млрд в производственный кампус в Хьюстоне — эта сумма более чем вдвое превышает указанную в заявке для властей ранее в этом году. Этот проект — часть пятилетнего инвестиционного плана на сумму $40 млрд, который предполагает укрепление научно-исследовательских, технологических и производственных мощностей компнаии в США. Моду

👍2

10 Aug 2026, 08:10 UTC≈1,100 views2 reactionsread 15 August 2026
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Recursion и Genentech валидировали первую нейромишень, открытую с помощью ИИ Сотрудничество Recursion, Roche и её дочерней компании Genentech в области разработки лекарств на основе искусственного интеллекта (ИИ) объёмом до $12 млрд достигло важной вехи. Компании объявили о планах совместно разрабатывать программу раннего поиска малых молекул для нейронауки на основе первой валидированной мишени, обнаруженной с помо

🔥2

7 Aug 2026, 07:54 UTC≈1,240 views11 reactionsread 15 August 2026
Photo

Phylo и Chugai заключили стратегическое партнёрство для внедрения ИИ в разработку лекарств Американская лаборатория прикладного ИИ Phylo и японская фармкомпания Chugai Pharmaceutical объявили о сотрудничестве, в рамках которого платформа искусственного интеллекта Biomni Lab будет интегрирована в исследовательские процессы японского производителя лекарств. Речь идёт о внедрении передовой цифровой экосистемы, призванн

👍53🔥3

6 Aug 2026, 08:05 UTC≈1,170 views13 reactionsread 15 August 2026
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Silexion Therapeutics обнародовала обнадеживающие доклинические данные по препарату SIL204 в отношении KRAS-мутантных новообразований Биофармацевтическая компания Silexion Therapeutics Corp. объявила о новых положительных результатах доклинических исследований в рамках своей программы трансляционной иммуноонкологии. Полученные данные подтверждают эффективность кандидата SIL204 на человеческих раковых клеточных лини

🙏7👍4🥰2

5 Aug 2026, 10:04 UTC≈1,300 views3 reactionsread 15 August 2026
Forwarded from @pharmmedpromPhoto

Помните, мы рассказывали о фотоконкурсе «Женщины в индустрии здоровья»? В июне мы изучили 202 заявки из 74 компаний со всей России. И, признаюсь честно, не ожидали, что выбирать победителей окажется настолько сложно. За сухими должностями — «технолог», «лаборант-химик», «специалист по качеству» — скрывались очень разные истории. Для себя я называю их «велосипед, лошади и фламенко». Потому что именно такие детали по

3

5 Aug 2026, 08:29 UTC≈1,130 views15 reactionsread 15 August 2026
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FDA поддержало уникальную клеточную терапию болезни Паркинсона без риска отторжения Экспериментальный препарат сасинпроцел (ANPD001) компании Aspen Neuroscience для лечения болезни Паркинсона получил от американского регулятора статус передовой терапии регенеративной медицины (Regenerative Medicine Advanced Therapy, RMAT). Действие сасинпроцела основано на заборе клеток кожи пациента, их перепрограммировании в ство

👍74🔥3🤯1

4 Aug 2026, 08:17 UTC≈1,740 views14 reactionsread 15 August 2026
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Zocilurtatug Pelitecan удостоен статуса орфанного препарата при нейроэндокринных карциномах Управление по санитарному надзору за качеством пищевых продуктов и медикаментов США (FDA) присвоило статус орфанного препарата инновационному конъюгату антитела с лекарственным средством (ADC) Zocilurtatug Pelitecan (ранее известному как ZL-1310), мишенью которого служит ген DLL3. Данный препарат предназначен для терапии пац

👍7🔥52

3 Aug 2026, 08:24 UTC≈1,310 views7 reactionsread 15 August 2026
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Представляем очередной выпуск нашего дайджеста FDA В нем — уникальная подборка новостей по статусам Breakthrough therapy designation, присвоенным американским регулятором за июль. Читайте нас и будьте в курсе самых последних инноваций в фармацевтике. ▪️INTENT Biologics получила статус Breakthrough Therapy Designation для препарата PEP Biologic ▪️FDA присвоило препарату Enpatoran от Merck статус Breakthrough Thera

7

31 Jul 2026, 07:48 UTC≈1,640 views18 reactionsread 15 August 2026
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Eisai и CORE Biomedicine заключили глобальное лицензионное соглашение в области онкологии Японская фармацевтическая компания Eisai заключила эксклюзивное глобальное лицензионное соглашение с биотехнологической фирмой CORE Biomedicine, предоставив последней права на ряд доклинических противоопухолевых программ. В рамках сделки CORE Biomedicine получает возможность разрабатывать и выводить на рынок портфель противора

👍9🔥5🥰4

Showing the 12 most recent of 22 posts we hold for @chemrarpharma. 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

Citation-graph rank — 237,796 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.

Forward network

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.

Mentions

Named by 4 registered channels — 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.

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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Инновации в фармацевтике” (@chemrarpharma), 13,181 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/chemrarpharma.

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.