Channel
@lissahealth
On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry
172subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002443313232 |
|---|---|
| Type | Channel |
| Username | @lissahealth |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/lissahealth |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 13:27 | 172 | +1 |
| 8 Aug 2026, 14:46 | 171 | no change |
| 7 Aug 2026, 03:37 | 171 | -1 |
| 6 Aug 2026, 18:20 | 172 | first reading |
12 posts held, back to 12 March 2026 — 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 12 posts for this entry, the most recent from 16 July 2026. An engagement rate over an empty window would be a number about nothing.
75 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 45.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 34 | 45.3% | |
| 🔥 | 18 | 24.0% | |
| ❤ | 10 | 13.3% | |
| 👏 | 7 | 9.33% | |
| 💩 | 2 | 2.67% | |
| 🏆 | 1 | 1.33% | |
| 👌 | 1 | 1.33% | |
| 😢 | 1 | 1.33% | |
| 🥱 | 1 | 1.33% |
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 10 of the 12 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 75reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 12 March 2026 to 16 July 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.
Lissa Health получила грант от федерального Фонда содействия инновациям на исследование моделей и алгоритмов для превентивной и предиктивной медицины, а так же создание speech-to-text модели со специализацией в медицинской лексике (для расшифровок врачебных аудиозаписей) #fsi #achievement
🔥11👍2❤1👏1🥱1
В день медика у нас вышло еще одно обновление - новый более интеллектуальный отчет. Следующая эволюционная ступень AI-инсайт отчетов. Он намного лучше работает с контекстом медданных пользователя и может качественно обрабатывать сотни загруженных документов. #feature
👍4
Photo, posted without a caption
❤2
Добавили поддержку генетики Можно загружать генетические данные в VCF и аналогичных форматах (выдаются в лабораториях по запросу). На данный момент обрабатываются 85 наиболее достоверных факторов. Учитываются в контексте AI-отчетов и Медицинского ассистента (чат) #feature
👍5🔥1
Планируем дальнейшее развитие. Выберите максимум три желаемых функционала.
The shares total 238%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Государственная Дума порадовала вчера россиян новым законом о штрафе для сайтов за предоставление регистрации через Google и другие зарубежные SSO провайдеры. В связи с чем регистрация новых пользователей через Google на Lissa Health в ближайшие дни будет запрещена. Логин через Google уже существующих пользователей продолжит работать. #legal
👌1😢1
Последнюю неделю поработали над оптимизацией нашего веб приложения, довели его до совершенства с точки зрения Google PageSpeed. Теперь даже на старых смартфонах приложение будет открываться и работать быстро. #optimization
👏5👍3🏆1
После тяжелых и продолжительных боёв с Росздравнадзором мы получили заключение, что Lissa Health не является медизделием и не подлежит обязательной регистрации. Это означает, что обычные пользователи и врачи могут использовать приложение без опасений нарушения закона. #legal
❤7👍5🔥3
Мы участвуем в конкурсе проектов в области ИИ для здравоохранения, проводимом при поддержке Минздрава РФ Приглашаю проголосовать #contest
👍4🔥3👏1
У нас вышел новый функционал Lissa Health Клиника Теперь человек может дать доступ врачу ко всем (или частично) своим медданым. Врач может смотреть, менять, загружать новые, делать аналитику. Удобно для семейных врачей, частных клиник, телемедицины, нутрициологов, фитнес-тренеров и других. #feature
👍8
В экспериментальном режиме заработали загрузка, хранение и просмотр DICOM файлов Можно загрузить снимки КТ, МРТ, рентгена и послать ссылку врачу, который сразу без скачивания большого архива сможет посмотреть их в браузере. P.S. Снимки искусственным интеллектом не анализируются. #feature
Еще одно обновление - удобный поиск по вашим документам и самому приложению #feature
👍3💩2
Showing the 12 most recent of 12 posts we hold for @lissahealth. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Планируем дальнейшее развитие. Выберите максимум три желаемых функционала.
The shares total 238%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 12 most recent posts we hold, published 12 March 2026 to 16 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 469,283 of 1,480,975entries 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 3 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Lissa Health” (@lissahealth), 172 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/lissahealth.
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.