ASCEND
BY NTHRYS

NTHRYS › PhD Assistance › Ai Biostatistics

Ai Biostatistics

Field
▾
Category
▾

Ai Biostatistics

Select a category to explore research frontiers

Loading categories...

Research Frontiers in Survival Analysis with Neural Networks

Applying deep learning architectures to model time-to-event data and predict patient mortality risk with censored outcomes.

Neural Latent Time: Uncovering Hidden Temporal Structures in Censored Data
Competing Risks and Deep Representation Learning in Survival Prediction
Uncertainty Quantification in Neural Network Survival Estimators
Interpretable Risk Stratification: Explainability at the Survival Frontier
Heterogeneous Treatment Effects in Neural Survival Models
Transfer Learning Across Censoring Mechanisms and Disease Populations
Causal Inference in High-Dimensional Survival Data via Neural Networks
Temporal Point Processes and Event-Dependent Censoring in Neural Frameworks
Graph Neural Networks for Relational Survival Data Integration
Multimodal Deep Learning for Longitudinal and Survival Phenotyping

All AI Biostatistics PhD categories