December Invite: Machine Learning in Epi

Dear BEMC Community,

We would like to invite you to the upcoming December Berlin Epidemiological Methods Colloquium:

“Machine Learning in Epidemiology”
Speaker: Dr. André Karch (Helmholtz Centre for Infection Research, Braunschweig)
Date: Wednesday, December 6th, 2017 / Time: 4:00pm – 6:00pm

Space is limited, so please register here in advance.

Location: Seminar room of the Neurology Clinic, first floor (Alte Nervenklinik)
Bonhoefferweg 3, Charité Universitätsmedizin Berlin- Campus Mitte, 10117 Berlin
Campus Map

Description: Big data, machine learning, and personalized prediction are the hot topics of biomedical research in the 21th century. But how do these abstract terms translate into everyday practice? How do they affect the way we think in epidemiology? What implications do they have for data analysis strategies and replication studies? In his talk, Dr. Karch will give a short introduction into machine learning algorithms, discuss opportunities and limitations of different concepts, and will show how machine learning can contribute to epidemiological research using examples from microbiome studies.

Please feel free to forward this invitation to anyone who might be interested.
Hope to see you there!

Best wishes,
Jessica Rohmann, Bob Siegerink, and Tobias Kurth

PS: Follow us on Twitter: @bemcolloquium

Wrap up: Nov. BEMC

IMG_20171101_162923429

Hats off to our November presenter Prof. Angela Zink, who shared some valuable wisdom gained through her experience developing and managing an enormous registry (as we learned, terminology can be confusing and this is essentially a large cohort!) of Rheumatology patients in Germany. She provided us with some real-world examples of where randomized controlled trials reach their limits and how well-conducted observational studies can be even more informative under certain circumstances. Her energy, thoughtful methodological approaches, and patience overseeing such a large project certainly left our audience feeling inspired. We hope you enjoyed the discussion following the talk as much as we did.

See you at our next meeting on Weds. December 6th. More detailed information on that to follow in the next week… As always, future meeting dates/topics can be found on our calendar page.

Best wishes, JR