* What we will do:

Discussion on how to implement a healthcare image analysis pipeline using deep-learning using Moad Computer's (https://www.moad.computer) cloud connected artificial intelligence platform: Jomiraki.

During this event, we will learn the details of how to build a deep-learning pipeline for breast cancer detection. We will discuss transfer learning, image augmentation strategies, GPU computing & layer visualizations.

We will also learn the basic API structure & how to build a web-application leveraging these APIs.

* About the event:

This event is organized by New York Health Care Artificial Intelligence Society (NYHAIS).

* About the speaker:

Dr. Rahul Remanan is trained as a medical doctor from All India Institute of Medical Sciences in New Delhi, India. He completed his postdoctoral fellowship in Neurology at Cornell University affiliated hospital in New York.

Currently he is the CEO of Ekaveda Inc, a private investment management company. Ekaveda focuses on investing in leading edge technology start-ups.

He is particularly passionate about developing scalable healthcare solutions.

He has since created an enterprise focused Artificial Intelligence company: Moad Computer & a nanotechnology company focused on developing cancer therapeutics: Nanveda.

His interdisciplinary skill sets in medicine & scientific computing is leveraged for facilitating precision medicine by customizing hardware & software. This includes the use of deep learning & cloud computing solutions for healthcare.

Broadly, he is interested in building technology driven solutions to bring progress & prosperity to societies around the world. He is a firm believer of technology as an empowering force. He supports the beneficial & benevolent applications of artificial intelligence.

Additionally, he is the co-organizer for the New York Healthcare Artificial Intelligence Society (meetup.com/NYHAIS), promoting his vision for AI, technology & its healthcare related applications.

* What to bring:

Laptop & notebooks are optional. Participants need a valid ID to gain access to the building. The slides will be posted online after the event.