Search Results for author:
Found 5 papers, 2 papers with code
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
Existing research often focuses on leveraging electronic health records (EHRs) to support clinical trial outcome prediction.
Uncertainty Quantification on Clinical Trial Outcome Prediction
Selective classification, encompassing a spectrum of methods for uncertainty quantification, empowers the model to withhold decision-making in the face of samples marked by ambiguity or low confidence, thereby amplifying the accuracy of predictions for the instances it chooses to classify.
GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization
With GenoCraft, researchers and data scientists have access to an array of cutting-edge bioinformatics tools under a user-friendly interface, making it a valuable resource for managing and analyzing large-scale omics data.
Machine Learning for Synthetic Data Generation: A Review
In light of these challenges, the concept of synthetic data generation emerges as a promising alternative that allows for data sharing and utilization in ways that real-world data cannot facilitate.
Deep Learning based Multi-Label Image Classification of Protest Activities
With the rise of internet technology amidst increasing rates of urbanization, sharing information has never been easier thanks to globally-adopted platforms for digital communication.
