News

In a new “In Focus” article in ACS Chemical Biology, IND Assistant Professor In-Residence Mike Keiser and postdoc Kangway Chuang stress caution when applying machine learning to experimental research models. With new machine learning methods broadly accessible to the research community, Keiser and Chuang emphasize the continued importance of designing strong control experiments and argue that a “hypothesis-driven approach” to research design is “now more critical than ever”.

Read the full abstract and article here

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New Tourette disorder genes come to light

By Michele Solis (UCSF News)

In the largest DNA sequencing study of Tourette Disorder (TD) to date, UC San Francisco researchers and their collaborators have unearthed new data suggesting a potential role for disruptions in cell polarity in the development of this condition. 

In their new study, published online September 25, 2018 in Cell Reports the researchers focused on “de novo” mutations, or rare mutations that arise anew at conception, rather than being inherited from parents... Read more ...

NIH funds UCSF-led initiative to chart a course toward new psychiatric drugs

By Dana Smith (UCSF News)

Scientists have struggled for decades to... Read more ...

Dr. Xiaoyan Guo, IND Postdoctoral Fellow Kampmann Lab

Dr. Xiaoyan Guo, IND postdoctoral fellow in the Kampmann lab, was awarded a fellowship by the Larry L. Hillblom Foundation. In her research, Xiaoyan investigates how mitochondria, famously dubbed the “powerhouse of the cell”, adapt to stress. Mitochondrial stress and dysfunction is a hallmark of aging and many neurodegenerative diseases. As a PhD student in Dr. Rene Garcia’s lab, Xiaoyan discovered... Read more ...