Fine-tuning pre-trained BERT architectures from Hugging face

Farida Hanna Campbell 2023

Efficient Delay Reason Extraction in Patient Appointments/Treatments Using BERT and Tensorflow. - Feb 2022 - Jun 2023

Literature Mining for Neurodegenerative disease

Question Answering tool for CliCR dataset developed using BERT and BioBERT

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

This project is a demo for Bert Question Answering on medical data.

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

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

BioBert Enhanced Patient Treatment Similarity Analysis with Sentence Transformers

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 tool capable of parsing datasets of papers from pubmed, annotating entities that appear using bio-BERT, creating a network of cooccurrences on which to perform analysis with various algorithms

BioBert for Q&A

spring project @ JetBrains Research

🧬 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.

The model identifies chemical components and genes named entities and extracts the relations of the chemical-gene pair jointly. It utilizes the BioBERT model in the named entity recognition and the graphs neural networks for the RE subtasks.

This repository contains data and BioBert based NER model monologg/biobert_v1.1_pubmed from community-uploaded Hugging Face models for detecting entities such as chemical and disease.

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

Topic+QA pipeLine

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.