Zhengkang Fan
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View article: Multimodal Prediction of Renal Tumor Malignancy from Radiology Reports and Structured Electronic Health Records: Retrospective Cohort Study (Preprint)
Multimodal Prediction of Renal Tumor Malignancy from Radiology Reports and Structured Electronic Health Records: Retrospective Cohort Study (Preprint) Open
BACKGROUND Accurate preoperative prediction of renal tumor malignancy is essential but remains challenging. While radiology and structured electronic health record (EHR) data are widely used for tumor evaluation, radiology reports—though …
View article: Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records
Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records Open
Nephrectomy, the surgical removal of a kidney, is a critical treatment for renal cancer, and predicting its likelihood can help guide clinical decision-making and optimize preoperative planning. This study utilized real-world electronic he…
View article: A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation
A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation Open
Objective Renal cancer is a common malignancy and a major cause of cancer-related deaths. Computed tomography (CT) is central to early detection, staging, and treatment planning. However, the growing CT workload increases radiologists' bur…
View article: Identifying Alzheimer’s Disease Progression Subphenotypes via a Graph-based Framework using Electronic Health Records
Identifying Alzheimer’s Disease Progression Subphenotypes via a Graph-based Framework using Electronic Health Records Open
View article: Federated learning with multi‐cohort real‐world data for predicting the progression from mild cognitive impairment to Alzheimer's disease
Federated learning with multi‐cohort real‐world data for predicting the progression from mild cognitive impairment to Alzheimer's disease Open
INTRODUCTION Leveraging routinely collected electronic health records (EHRs) from multiple health‐care institutions, this approach aims to assess the feasibility of using federated learning (FL) to predict the progression from mild cogniti…
View article: A fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes
A fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes Open
Racial and ethnic minorities bear a disproportionate burden of type 2 diabetes (T2D) and its complications, with social determinants of health (SDoH) recognized as key drivers of these disparities. Implementing efficient and effective soci…
View article: Constructing Parkinson's disease progression- endotype molecular networks for drug repurposing: multi-omics evidence aggregation and large-scale real-world data validation
Constructing Parkinson's disease progression- endotype molecular networks for drug repurposing: multi-omics evidence aggregation and large-scale real-world data validation Open
Parkinson's disease (PD) presents with considerable clinical heterogeneity, spanning motor and non-motor symptoms with variable progression trajectories. To investigate the molecular drivers of this variability and identify therapeutic opp…
View article: A Fair Individualized Polysocial Risk Score for Identifying Increased Social Risk in Type 2 Diabetes
A Fair Individualized Polysocial Risk Score for Identifying Increased Social Risk in Type 2 Diabetes Open
Background: Racial and ethnic minority groups and individuals facing social disadvantages, which often stem from their social determinants of health (SDoH), bear a disproportionate burden of type 2 diabetes (T2D) and its complications. It …
View article: Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D)
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D) Open
Background: Racial and ethnic minority groups and individuals facing social disadvantages, which often stem from their social determinants of health (SDoH), bear a disproportionate burden of type 2 diabetes (T2D) and its complications. It …