The challenges posed by small and heterogeneous medical datasets significantly impede AI development in biomedical data analysis. My research addresses this issue by utilizing innovative partially personalized federated learning frameworks. These frameworks facilitate collaborative learning across multiple medical centers, enhancing the development of precise, personalized AI models. In this...
Medical images play a critical role in patient management and are used to decide treatment; they also comprise nearly 80% of all hospital data. We have an opportunity to leverage AI in medical imaging, to change the way medicine is practiced. AI tools for medical imaging can offer more accurate diagnosis, improve inter-rater agreement across specialists, and reduce turn-around-time -- all...
Targeted Alpha Therapy (TAT) is a mode of cancer treatment in which alpha-emitting radionuclides attached to selective delivery molecules are injected into patients to preferentially kill cancer cells, a promising candidate radionuclide is actinium-225. Due to the relatively low radio-activities used (MBq’s) in this treatment and the absence of positron emissions in actinium-225’s decay chain,...
