Nicolay Rusnachenko

In further posts here you may expect to see key takaways in emerge of AI / Data and Healthcare out of keynote talks.

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#Birmingham #nhs #10yearplan #ai #data #genAI #appplication #healthcare

🌟 Highlights of subjects we contribute to:
📜 CASA2025: Using Chain-of-Thouhts for Textual Radiological Report Evaluation -- nicolayr.com?data_type=pa...
📜 CLEF2025: Clinical Textural Report Summarization -- nicolayr.com?data_type=pa...

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🔑 My provision contribution to the event is attendance on the basis of being a Research Fellow at Bournemouth University. In collaboration with the medical team, we applying and advancing Natural Language Processing in Marking Medical Images and Radiological Reports Evaluation 🤖
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📢 Already head to the Birmingham to visit Delivering the NHS 10-Year Plan with AI & Data. Looking forward for keynote talks on AI adoption for Health servises, AI Risks.

🙌 If you're around or sharing mutual interest, let's connect!

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📢This year finds me with the very second attempt in Run Bournemouth Supersonic 10K. Thanks to every supporter on that breezy way 🏖️ 💨...

🤔 Did I smashed it?
⏱️ www.myrunning.uk/run-bournemo...

#runbournemouth #bournemouthac #supersonic #10k #bournemouth #bournemouthbeach

GitHub - nicolay-r/pubmed_articles_iter: Non-official JSON-based articles info iterator from fetched XML snapshot for year 2025 Non-official JSON-based articles info iterator from fetched XML snapshot for year 2025 - nicolay-r/pubmed_articles_iter

⚕️ The PubMed OA subset byshares a metadata for 35M articles. Suddenly, the existing article parser was supported until 2024
📢 Excited to share project, which contirbutes:
☑️ Downloader for files
☑️ No-string iterator over articles
github.com/nicolay-r/pu...

#MedLibs

📢 Excited to share that our previosly presented studies on clnical report summarization 📝🩺🧑‍⚕️ at #CLEF2025 has become published an available at CEUR-WS:

📄 Check out: ceur-ws.org/Vol-4038/pap...

📢 Just registered at #Manchester #Health Series and ready connect and dive into talks about healthcare 🩺 and AI.
Personal interest and scope: present developing web-based demo ⚛️ on marking medical images with NLP 🤖

📝 Paper card: nicolayr.com#casa2025

#ManchesterHealthSeries #Healthcare

📢 This is happenning: already on my way off to the #Health series in the north of the UK / #Manchester.
Looking forward to connections and discussions in the #healthcare and #AI domains and AI for education 👨‍⚕️

See everyone in Manchester! 🙌

#ManchesterHealthSeries

📢Life update: such a running events like #seaa #relays similar race competitions 🏃‍♂️💨 are still pretend to be sponsors for #AI / #NLP activities

📢 Thrilled to demo at the @BioASQ session today! Grateful for the amazing interest and inspiring discussions from all participants.

✨ Just registered the #clef2025 and ready to dive into talks about NLP and IR advances in various fields including healthcare 👨‍⚕️

📜We also presenting poster for #BioASQ:

nicolayr.com/#bioasq2025

If you're here, too, I'd love to connect! ✨

#CLEF2025 #bioasq

✈️ Finally and this is happening: my 📃and I are on the way to #clef2025 and the @BioASQ workshop at @UNED! Looking forward to great moments and discussions while at the conference. See everyone in Madrid 🇪🇸

#CLEF2025 #BioASQ

Here is "Hi 👋" that goes from The Needles / Isle of Wight 🇬🇧 is what makes me put the tracking advances in AI off ... but not for too long 🏞️

No-string streaming mode for Replicate LLM models in Javascript No-string streaming mode for Replicate LLM models in Javascript - streaming-llm-replicate-api.js

Resources are availble at Github GIST:
💻 JS: gist.github.com/nicolay-r/86...
💻 JS + FastAPI: gist.github.com/nicolay-r/84...

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✨TLDR #2: Using FastAPI as a proxy, we explain how to take control over transferred data.

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✨ TLDR #1: We review POST-based approaches for fetching data readers and adopting data parsers.

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From which you will learn how to:
☑️ Use pure #JS for fetching streaming from the specific provider (Replicate)
☑️ Use pure #JS with custom proxy streaming provider (#FastAPI)

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YouTube video by Nicolay Rusnachenko Minimalistic Setup for Handling Streaming Data in Web

📢 Streaming support is inevitable for local / remote LLM / GenAI model running. For those who interested in support streaming with min. dependencies, delighted to share the first part of the tutorial:

🎬 youtu.be/XgByPLLsiCI

#streaming #inference #web #js #javascript #fastapi #proxy #replicate

✍️ When it comes to writing letter, the common principles that matters are:
1️⃣ Eligibility – Why you're allowed to apply
2️⃣ Necessity – reason on why you must apply
3️⃣ Consistency

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#ATAS #UKVisa #PhDLife

📘 In the case of Research Assistant or Fellow, these 2 official docs are crucial:
- Skilled Worker Guidance
- Sponsor a Worker: Guidance Part 2
They outline your rights, sponsor obligations 🧾

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#ATAS #UKVisa #SkilledWorker #PhDLife

🎯 Conditional Relevance Alert for UK PhD/Research Applicants:
✅ Visa approved
❌ ATAS refused
This combo means you're not in the clear yet. You MUST submit a rebuttal letter

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#ATAS #UKVisa #SkilledWorker #PhDLife

🧾 ATAS is a UK clearance process for international students in sensitive tech/research areas including AI.
Key info:
- no fast-tracking
- decision making process takes time
- no info on decision (granted / refused)

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#ATAS

YouTube video by Nicolay Rusnachenko The Ultimate Guide to Actions After an ATAS Refusal

📢 For those who planning to start a PhD or research in the UK 🇬🇧 (including AI field in particular) but facing ATAS issues. Excited to share the ultimate guide for dealing with ATAS refusals and how to write effective rebuttal letters.

🎬 youtu.be/bfknM3n-SHs

YouTube video by Nicolay Rusnachenko How to Summarize Clinical Case Reports with Small LLMs

The video review of the studies is just recently become available:

youtu.be/uOAiUvLghuE

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GitHub - nicolay-r/distil-tuning-llm: Disillation-Tuning implementation for decoder based LM models (Qwen2.5) adapted for text summarization (BioASQ-2025 workshop) Disillation-Tuning implementation for decoder based LM models (Qwen2.5) adapted for text summarization (BioASQ-2025 workshop) - nicolay-r/distil-tuning-llm

🧑‍💻 code: github.com/nicolay-r/di...
🎫 Paper card: nicolayr.com#bioasq2025
🤗 Huggingface model: huggingface.co/nicolay-r/qw...

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We ⛓️‍💥 unleashed these limitations by 🛠️reforging framework and support decoder-based instruction-tuned models. We contribute be exploring capablities of distillation tuned Qwen-2.5 0.5B model in summarization of the reports written in Enlish, French, Portuguese, and Spanish.

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🚨 Exciting update in healthcare AI! Thrilled to share our latest advances on shortening clinical case reports 📝🩺 . Our studies on - Using Decoder-Based Distillation for Enhancing Multilingual Clinical Case Report Summarization - has been accepted CLEF-2025 / BioASQ workshop

🎤 BioASQ: bioasq.org

The video covers:
✅ 1. Bacground overview of earlier Seq2Seq model limitations;
✅ 2.Adaptation of the distillation tuning for the DecoderBased systems / LLMs;
✅ 3.Known limitation of work and unleashing full capabiilties;

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