Pancreatic Cancer Deep Learning System: A novel Tool for Improved Image-Guided Radiotherapy (IGRT) through Automated Pancreas Segmentation
Meet Rishab. Rishab created a method that uses artificial intelligence to help accurately locate the pancreas during MRI radiotherapy and make cancer treatment more effective.
Why did you enter the Young Scientist Challenge?
I have been very interested in STEM areas and started learning, doing research and experimenting with applications of artificial intelligence in the medicine area. This lead me to my invention of my Pancreatic Cancer Deep Learning System (PCDLS) tool. One day I was watching youtube videos of finalists for the Young Scientist Challenge, which excited me a lot to share my own invention in the competition. I hope to win the competition, as it will allow me to share my ideas with the world, innovate the future and get mentorship to make my invention into a real product.
What is your favorite invention of the last 100 years, and why?
My favorite invention in the last 100 years is the internet. The internet provides access to ubiquitous communication, entertainment, and education. The internet is one of the key elements for the society to connect with each other and evolve. Through the internet, we have been able to improve the way people interact with one other, conduct research, and stay informed of the latest events. Today, life without the Internet for most people is unimaginable. Thanks to this invention, I am able to see my brother while he’s in college. Overall, the internet has simplified the hectic daily life of people giving them extra time to spend with family and friends; not just in person but through social media applications, video calling and instant messaging.
In 15 years I hope to be...
A biomedical engineer or a doctor to keep developing technology to find a cure for cancer and improving people’s lives.
Things become easy once you learn them. The monster of complex STEM problems can be tamed with experiments and trying again one more time!