4 papers
Multi-Modal Machine Learning for Breast Cancer Recurrence Prediction
Jiahao Shao, Xudong Wang, Anam Nawaz Khan +3
Breast cancer recurrence, a leading cause of long-term mortality among survivors, requires timely and accurate risk assessment to guide follow-up care and treatment planning. Tradi…
Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction
Jiahao Shao, Anam Nawaz Khan, Christopher Brett +3
Pathology reports serve as the definitive record for breast cancer staging, yet their unstructured format impedes large-scale data curation. While Large Language Models (LLMs) offe…
Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting
Zekai Wang, Bing Yao
Spatiotemporal dynamics forecasting is inherently challenging, particularly in systems defined over irregular geometric domains, due to the need to jointly capture complex spatial…
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records
Zekai Wang, Tieming Liu, Bing Yao
The era of big data has made vast amounts of clinical data readily available, particularly in the form of electronic health records (EHRs), which provides unprecedented opportuniti…