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08/04/2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
Clinical trial matching is a key process in health delivery and discover...
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07/12/2023
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
Large language models (LLMs), such as GPT-4, have demonstrated remarkabl...
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06/01/2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Conversational generative AI has demonstrated remarkable promise for emp...
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03/02/2023
Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
Contrastive pretraining on parallel image-text data has attained great s...
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04/21/2022
Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing
Multi-modal data abounds in biomedicine, such as radiology images and re...
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03/20/2022
Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision
Objective: The majority of detailed patient information in real-world da...
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12/15/2021
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing
Motivation: A perennial challenge for biomedical researchers and clinica...
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09/11/2021
Modular Self-Supervision for Document-Level Relation Extraction
Extracting relations across large text spans has been relatively underex...
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06/25/2021
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Information overload is a prevalent challenge in many high-value domains...
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07/31/2020
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Pretraining large neural language models, such as BERT, has led to impre...
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05/28/2020
