12 27 43

Nicolay Rusnachenko

nicolay-r

https://nicolayr.com/

AI & ML interests

NLP for Healthcare ⚕️ @BU_Research・PhD in NLP / IR ・Textual Information Retrieval

Recent Activity

updated a collection 1 day ago

sentiment-analysis-advances

posted an update 19 days ago

📢 For those who experimening with large language models in clinical domain, this might be relevant. So far we participated in Task 4 of the ArchEHR-QA 2026 shared task. The task requires aligning answers to patient questions with clinical evidence. Our approach encodes clinical reasoning principles directly into the prompt, evaluated in a zero-shot setting. Results: +2% improvement with ChatGPT-5.2. No measurable gain with Llama-3 70B, indicating the approach benefits larger-scale models. 🌟 Code: https://github.com/nicolay-r/ArchEHR-QA-2026-Task-4-MedEvi-NS 📊 Shared task: https://www.codabench.org/competitions/13528/

posted an update about 2 months ago

📢 I know this space is mosly for sharing works, but in this case I am open to work 💼🇬🇧 I know there are outstanding research labs and teams following this space 🙌 I would genuinely love to learn on ways to contribute, learn from strong lab environments, and help shape ideas into working systems. What I bring (https://nicolayr.com): • Applied NLP & deployment LLM-powered worflows with reasoning for IR (LangChain, LiteLLM) • Architectures Engeneering: Transformers and / or backends (PyTorch, Tensorflow, flaxformer) • End-to-end engineering: Frontend (JS, ReactJS) → Backend REST APIs (FastAPI) / Keycloak → Docker / NGINX → Cloud / MLOps • Domain-specific experience in Healthcare (deploy & handle: DICOM-SR/SEG, NIFTI, databases: ORTHANC, Frontend: OHIF / cornerstone) • Pasion about open-source NLP tooling for handling data (https://github.com/nicolay-r) Would be happy to connect or hear any relevant suggestions on seeking for team 🧩

View all activity

Organizations

None yet

Posts 84

Post

133

📢 For those who experimening with large language models in clinical domain, this might be relevant. So far we participated in Task 4 of the ArchEHR-QA 2026 shared task. The task requires aligning answers to patient questions with clinical evidence. Our approach encodes clinical reasoning principles directly into the prompt, evaluated in a zero-shot setting.

Results: +2% improvement with ChatGPT-5.2. No measurable gain with Llama-3 70B, indicating the approach benefits larger-scale models.

🌟 Code: https://github.com/nicolay-r/ArchEHR-QA-2026-Task-4-MedEvi-NS
📊 Shared task: https://www.codabench.org/competitions/13528/

Post

325

📢 I know this space is mosly for sharing works, but in this case I am open to work 💼🇬🇧

I know there are outstanding research labs and teams following this space 🙌

I would genuinely love to learn on ways to contribute, learn from strong lab environments, and help shape ideas into working systems.

What I bring (https://nicolayr.com):
• Applied NLP & deployment LLM-powered worflows with reasoning for IR (LangChain, LiteLLM)
• Architectures Engeneering: Transformers and / or backends (PyTorch, Tensorflow, flaxformer)
• End-to-end engineering: Frontend (JS, ReactJS) → Backend REST APIs (FastAPI) / Keycloak → Docker / NGINX → Cloud / MLOps
• Domain-specific experience in Healthcare (deploy & handle: DICOM-SR/SEG, NIFTI, databases: ORTHANC, Frontend: OHIF / cornerstone)
• Pasion about open-source NLP tooling for handling data (https://github.com/nicolay-r)

Would be happy to connect or hear any relevant suggestions on seeking for team 🧩