Other / unclassifiable — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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
13 measurements spanning 37 days, net -22. 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 1,104–1,132 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 12:15
1,107
-3
8 Sept 2026, 10:16
1,110
-1
3 Sept 2026, 09:23
1,111
-1
31 Aug 2026, 13:24
1,112
-2
28 Aug 2026, 14:37
1,114
+3
25 Aug 2026, 19:33
1,111
-1
23 Aug 2026, 03:36
1,112
-4
19 Aug 2026, 15:44
1,116
-3
16 Aug 2026, 20:16
1,119
-1
13 Aug 2026, 03:03
1,120
-4
10 Aug 2026, 00:03
1,124
-5
6 Aug 2026, 12:34
1,129
no change
6 Aug 2026, 12:22
1,129
first reading
Engagement
20 posts held, back to 8 January 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 page 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 20 posts for this entry, the most recent from 5 March 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
41 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 41.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
17
41.5%
😭
7
17.1%
👎
6
14.6%
🤮
6
14.6%
🤣
3
7.32%
❤
1
2.44%
🆒
1
2.44%
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 12 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 41 reactions 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 8 January 2025 to 5 March 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.
오스코텍이 당시 미국에 신약 개발 회사를 설립한 배경은 ‘(실정을 제대로) 몰랐기 때문’이라고 표현했다. 그는 “교수로 재직하면서 연구만 많이 해봤고 신약 개발에 대해선 잘 몰랐다”며 “신약 개발의 어려움을 너무 몰랐기 때문에 오히려 과감한 결단을 내릴 수 있었으며 운도 많이 따랐다”고 했다. 즉 제노스코는 오스코텍의 물적분할이 아니라 김 대표가 ‘맨땅에 해딩’으로 미국 법인부터 설립한 것이다.
OCT USA의 신약 개발은 2008년 고종성 제노스코 대표가 합류하면서 시작했다. 2008년 OCT USA의 신약 개발 연구소가 설립됐다. OCT USA의 사명은 고 대표가 합류한지 1년이 지난 후인 2009년 제노스코로 변경했다.
제노스코는 내 회사지 왜 너희들의 것이냐..?
추가
1. 화이자의 이전 Mevro + Xtandi의 rPFS는 17.1개월 정도였는데 14.3개월로 짧아짐.
2. HR가 0.51 정도 나온건 나쁘지 않은데 n 값이 41명 정도라서 그런지, 신뢰구간이 0.28~0.95로 매우 들쑥날쑥함.
3. 그래서 보통 CI 값을 95%를 활용하는데, HR이 1이 넘어가면 곤란해지니 90%로 의도적으로 활용한 것이 좀 안 좋게 보였던 듯...
4. 화이자의 꼼수 발표에 944 들고있던 ORIC이 날벼락...
https://news.mt.co.kr/mtview.php?no=2025020615273285717
보로노이는 앞서 식품의약품안전처(식약처)와 협의해 임상 1상에서 VRN11 최대 투약 용량을 160밀리그램(mg)에서 320mg으로 늘렸다. 최대 480mg까지 늘릴 수 있도록 임상 구조를 설계했다. 통상적으로 고용량일수록 더 뛰어난 장기 치료 효능을 기대할 수 있다. 다만 투약 용량이 늘수록 약물의 부작용 우려가 커질 수 있다. VRN11의 최대 투약 용량을 늘린 배경엔 그만큼 안전성에 대한 자신감이 있는 것으로 풀이할 수 있다.
임상 환자 수도 더 늘 예정이다. 원래 투약 용량별 3명씩 환자를 모집하는 구조였는데, 최대 12명을 추가할 수 있도록 했다. 용량별 최대 15명의 환자를 대상으로 투약할 수 있게 바뀐 셈이다. 임상 1상 환자 …
Showing the 12 most recent of 20 posts we hold for @PathfinderOfBio. 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.
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 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.
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.
허혜민의 제약/바이오 소식통 @huhpharm · 24,282 Telegram ranks this channel #40 of 93 here — alongside 92 others — read 16 September 2026
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.
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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“바이오 탐색대” (@PathfinderOfBio), 1,107 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/PathfinderOfBio.
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.