Curated resources, architectures, prompts, and benchmark datasets for applying LLMs and Retrieval-Augmented Generation (RAG) in biomedicine and drug discovery.
-
Updated
Aug 8, 2026 - Python
Curated resources, architectures, prompts, and benchmark datasets for applying LLMs and Retrieval-Augmented Generation (RAG) in biomedicine and drug discovery.
Multimodal AI-powered plant disease diagnosis system integrating ResNet-18, Quantum Neural Networks (PennyLane), PubMedBERT, Gemini 2.5 Flash, Grad-CAM, and probabilistic ensemble fusion for explainable disease classification using computer vision, NLP, and quantum-enhanced deep learning.
Automated pharmacovigilance literature validation for ultra‑rare neurological diseases. Enter a drug name and an adverse event. The app searches PubMed with a multi‑tier cascade, extracts the most relevant evidence, and returns a verdict — Present or Absent — backed by a fine‑tuned PubMedBERT model.
AI-powered conversational medical assistant with RAG over MedLinePlus & MedQuAD datasets, Neo4j knowledge graph, Qdrant vector database, LangGraph agent orchestration, and voice I/O (Whisper STT + Edge TTS).
Exploring biomedical question answering using the PubMedQA dataset through natural language processing (NLP), comparing traditional machine learning approaches, text representation techniques, and fine-tuning of pretrained biomedical language models such as BioBERT and PubMedBERT.
Classifying NHS patient questions by disease — TF-IDF+kNN baseline vs. fine-tuned BERT / BioBERT / PubMedBERT (UCL MSc, Advanced ML for Healthcare).
Fine-tuned PubMedBERT bi-encoder on PubMedQA achieving NDCG@10=0.974. BM25 from scratch in pure NumPy. Self-improving multi-agent critic loop. Model live on HuggingFace Hub.
Adverse drug event NER on CADEC: feature-engineered CRF vs fine-tuned BioBERT/PubMedBERT, with class-imbalance and error analysis
Transformer-based topic modeling (BERTopic) of six spine journals, 1978–2026 — 40,401 abstracts, 37 topics, with temporal trends and VOSviewer comparison.
How OCR errors break biomedical NER: BC5CDR abstracts rendered as degraded scans, read with docTR, gold spans projected by character alignment and tagged by PubMedBERT; entity F1 vs CER with bootstrap CIs and three fixes (OpenCV clean-up, noise-augmented fine-tuning, local-LLM correction).
Local multi-agent pipeline (LLaMa-3.1 via MLX + PubMedBERT RAG over Chroma) that fact-checks drug questions against authoritative medical sources and returns a cited answer with per-claim verdicts. Ships with a FastAPI + single-page web UI and a Typer CLI
Fine-tuned PubMedBERT that labels each sentence of a medical abstract as background, objective, methods, results or conclusions, served over FastAPI
RAG clinical decision support for PCI vs CABG, grounded in 2021 ACC/AHA guidelines (FastAPI, LangChain, PubMedBERT, ChromaDB, Claude)
Agentic Corrective RAG over 484 ClinicalTrials.gov oncology protocols. LangGraph CRAG with LLM-as-judge grading + cross-encoder reranker for two-stage retrieval. Three independent refusal gates. PubMedBERT, FAISS, Groq Llama 3.3 70B. Live demo on Streamlit.
To associate your repository with the pubmedbert topic, visit your repo's landing page and select "manage topics."