I am a first year PhD student under the Yong Loo Lin School of Medicine Graduate Research program. Attached to the department of physiology, I will be undertaking a research project on the Epigenomics of Rhabdomyosarcoma, a soft tissue mesenchymal tumour, related to the skeletal muscle lineage.
A.I. Deep Learning? How will that come in for cancer research?
In the recent decade, large leaps and bounds have been made in the field of Machine Learning, or more specifically Deep Learning, using computers to model Artificial Neural Network structures mimicking the hierarchical layers of the Human Visual cortex. These ANNs have the ability to learn patterns from large data sets, giving them pin point precision when it comes to classification and prediction of certain characteristics. Harnessing the power of these Deep Learning techniques, I hope explore the possibilities of training these Neural Networks on epigenetic data from cell or animal model experiments in Rhabdomyosarcoma, and eventually uncover the links of key epigenetic regulatory pathways that could become critical therapeutic targets in the research of Rhabdomyosarcoma.
What will the money will be used for?
This sum of money will mainly be used to acquire the necessary hardware to build a powerful enough computer to train the neural network as well as necessary software applications to run the entire process.
Serving as mainly as a seed fund to develop the prototype for this research tool, subsequently when the A.I. shows some promise, I will more likely be able to ask for funding from the University to develop the A.I. even further and eventually train it on actual clinical data for it to be fully functional.
For any queries or if you would like to donate to me directly, I can be reached at [email protected]