The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
IEEE

Emergency Events Traffic Flow Forecasting Using Text-Prompt-Guided Multimodal Large Language Models

Abstract: Emergency events like traffic accidents and natural disasters frequently cause severe disruptions to urban traffic patterns, posing challenges to conventional forecasting methods based on ...
IEEE

Synthetic-Text Detection Using Deep Learning – An Ensemble Practical Comparative Analysis

Abstract: The rapid advancement of large language models (LLMs) such as GPT-3 and ChatGPT has revolutionized natural language generation by producing text with remarkable fluency and coherence.
eLife

Multi-talker speech comprehension at different temporal scales in listeners with normal and impaired hearing

Hearing impairment selectively disrupts neural tracking of speech at both short and long temporal scales during multi-speaker listening, while preserving intermediate linguistic processing.
GitHub

Lung Cancer Prediction with Machine Learning

The primary goal of this project is to leverage machine learning algorithms to predict the likelihood of an individual developing lung cancer. By examining key patient data points and employing data ...