This publication details the development of an automated online system for assessing stroke risk, utilizing advanced algorithms for accurate predictions.
This study identifies clinically relevant prognostic epigenetic subtypes of chordoma and their detection in plasma, contributing to the understanding of this rare cancer.
Current standards limit predictions of early tumor recurrence in meningioma patients. This study develops a model to predict recurrence risk by combining clinical and molecular factors.
A chatbot designed to assess stroke risk using a conversational interface, integrating machine learning algorithms for personalized risk prediction.
Contributed to research projects focusing on biomedical data analysis and machine learning applications in healthcare.
Created a 24-week curriculum to educate and inspire Uyghur children and youth and train them in programming online and design prototyping.