AWIS SF Monthly Journal Club
August 8, 2017

Join us for the AWIS Journal Club: a group of scientists who come together monthly to discuss a timely article. This is a great opportunity stay up-to-date on the latest trends in science while making new connections!

When: 6:30 - 8pm, Tuesday, August 8
Where: V16 Sushi, 3092 16th St, San Francisco, CA 94103
Cost: No cost

Each month a volunteer scientist selects a recent, peer reviewed article that is considered highly important in their field. In the meeting the presenter gives

Following the overview and summary, we have an open discussion can include:

Topics range across biotechnology, materials science, science-based public health, clinical regulations, ecology and evolutionary biology. Anything is fair game. Prior to each meeting, an article is provided to read for those who like to come with set opinions/questions. However, this is NOT required. Feel free to just show up and get a crash course in the subject :)

This month's article:
 
Neuroimage: Modeling and interpreting mesoscale network dynamics 
The NIH effort to map the human brain has been compared to the effort to map and decode the human genome. Indeed, in the past 4 years an overwhelming amount of data has been generated with the promise to reveal how specific pathways in the brain determine our behaviors and cognitive/emotional traits. However, just data is not enough and novel computational tools have to be developed to get these answers. This paper, by leaders of modern neuroscience, describes the novel, unique methods required to unearth brain physiology and their promise to revolutionize personal mental health. Applications include discovery of physical markers for nebulous psychiatric disorders like Major Depressive Disorder and learning disability as well as specific mechanisms (dysfunctional brain circuits, brain structure abnormalities) that can be used to develop treatments.
The discussion will cover what makes brain data so complex, demystify key methods scientists use to get answers from 'big' datasets, computational psychiatry, and controversial insights in to how mental traits can be predicted and actively modified.

Field: 
Neuroscience, psychiatry, personalized medicine, big data analytics, computational psychiatry

Look forward to seeing you at V16!
Kate Wendelsdorf
Board President, AWIS San Francisco,president@sfawis.com


For additional information about AWIS-SF, please visit www.sfawis.org. If you are not an AWIS-SF member, we encourage you to join AWIS today.