Machine Learning in Health

Welcome to the first Machine Learning in health meetup hosted by Clue!

We believe in the future Machine learning and AI will play in the health tech sector. We invite you to join us to create a platform for discussions around these topics.

Schedule:

6:30pm Doors open welcome (drinks and food)

7:00pm First discussion - Adrin Jalali - Ancud IT-Beratung GmbH

7:20pm Questions

7:30pm Second Talk - Eden Duthie - Ada Health

8:00pm Questions discussion and wrap up

8:30pm - 10:00pm Drinks and networking

Speaker Bio:

Adrin is a computer scientist who has been doing research in the field of cancer diagnostics for several years. Whilst in Vancouver General Hospital in Canada, he worked closely with Oncologists and cell biologists dealing with patients' data and their corresponding diagnosis. He then moved to Max Planck Institute for Computer Science in Germany, where he was surrounded by computer scientists and worked with some types of data that are not as of yet used on a daily basis for the purpose of diagnosis.

Talk: The role of machine learning in Cancer Diagnostics

To start the talk Adrin will give an overview of the background on the biology of cancer in order to provide context for the rest of the talk. Adrin will then dive into his perspective perspective on the spectrum including clinics to academia, and how and where machine learning is used and could be used. It will start with some high level questions that occur in diagnosis process, and continues with some concrete questions which could be addressed using machine learning. To conclude Adrin will provide an overview of where the community stands on this subject and the goals that are yet to be achieved.

Bio - Eden Duthie: is the Head of Data Science at Ada Health, just up the road from Clue. He previously led the Data Science department at Sportsbet.com.au (http://sportsbet.com.au/) in Melbourne, Australia. He has had a very varied career applying machine learning to a wide variety of commercial applications such as computational chemistry in drug discovery and rainfall forecasting. His claim to fame is that he developed the Kaggle platform, back when it was based in Melbourne. Eden came to Berlin to follow a passion for applying machine learning to health and is loving the focus on helping people and the overwhelming positive user feedback.

Talk: An overview of machine learning at Ada.

Eden will give a brief introduction to Ada, the probabilistic reasoning engine, and look at its performance. After that he will talk about how machine learning is being used to improve this performance starting with a triage advice level classification model and then discussing medical diagnosis.