30 citations
- University of Wisconsin–MadisonUS5 papers
- Aflac (United States)US2 papers
- Children's Healthcare of AtlantaUS2 papers
- Emory UniversityUS2 papers
- Jacobs (United States)US2 papers
- Morgridge Institute for ResearchUS2 papers
- Roswell Park Comprehensive Cancer CenterUS2 papers
- Rhode Island HospitalUS1 paper
- William S. Middleton Memorial Veterans HospitalUS1 paper
5 papers
Assay2Mol: large language model-based drug design using BioAssay context
Yifan Deng, Spencer S. Ericksen, Anthony Gitter
Scientific databases aggregate vast amounts of quantitative data alongside descriptive text. In biochemistry, molecule screening assays evaluate candidate molecules' functional res…
Chemical Language Model Linker: blending text and molecules with modular adapters
Yifan Deng, Spencer S. Ericksen, Anthony Gitter
The development of large language models and multi-modal models has enabled the appealing idea of generating novel molecules from text descriptions. Generative modeling would shift…
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network
Xin Tie, Muheon Shin, Changhee Lee +10
: Automatic quantification of longitudinal changes in PET scans for lymphoma patients has proven challenging, as residual disease in interim-therapy scans is ofte…
Automatic Personalized Impression Generation for PET Reports Using Large Language Models
Xin Tie, Muheon Shin, Ali Pirasteh +8
In this study, we aimed to determine if fine-tuned large language models (LLMs) can generate accurate, personalized impressions for whole-body PET reports. Twelve language models w…
MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing
Zihao Zheng, Aisha M. Mergaert, Irene M. Ong +2
Peptide microarrays have emerged as a powerful technology in immunoproteomics as they provide a tool to measure the abundance of different antibodies in patient serum samples. The…