Browse Covid-19 & SARS-CoV-2 Scientific Papers with Transformers 🦠 📖

NER and Relation Extraction from Electronic Health Records (EHR).

Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)

MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)

Ready to use BioBert pytorch weights for HuggingFace pytorch BertModel 😌

Relation Extraction using BERT and BioBERT - using BERT, we achieved new state of the art results

Computational Strategies in Nutrigenetics: Constructing a Reference Dataset of Nutrition-Associated Genetic Polymorphisms https://doi.org/10.1101/2023.08.04.23293659

The traditional machine learning models give a lot of pain when we do not have sufficient labeled data for the specific task or domain we care about to train a reliable model. Transfer learning allows us to deal with these scenarios by leveraging the already existing labeled data of some related task or domain. We try to store this knowledge gai…

👑🦠 Annotating PMC and PubMed articles for Covid-related entities

🧬 Fine-Tuning Large Language and Protein Models on a single T4 GPU via Distillation, Quantization and Low-Rank Adaptation to run inference on proteins functions.

Code for my Master thesis on "Intelligent Drug-Drug Interaction Extraction: A Natural Language Processing Approach to Biomedical Text Analysis".

The repo consists of an ML model based on BioBERT by virtue of transfer learning, to detect adverse drug reactions (ADRs). It also consists of the data used by the model.

AI powered symptom simulator and diagnostic trainer for medical students

Bi Master - Grupo de desafios de NLP: Classificação Multiclasse, BIOBERT, spaCy, NER, POS, Tópicos, Geração de Texto, sentence-bert, Tensorflow USEm.

A cost-sensitive BERT that handles the class imbalance for the task of biomedical NER.

Topic+QA pipeLine

🔍 Kaggle COVID-19 Open Research Dataset Challenge (CORD-19)

A simple binary prediction model that gets the Alzheimer's drugs' description texts as input. It classifies the drugs into two Small Molecules (SM) and Disease modifying therapies (DMT) categories. The model utilizes BERT for word embeddings.

A comprehensive web application built with Flask and BioBERT that provides intelligent information about cancer treatments, side effects, and medical guidance using advanced NLP processing and AI-powered question answering.

NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models BERT