Campuses:

Medical

Monday, May 7, 2012 - 10:30am - 11:30am
Shawndra Hill (University of Pennsylvania)
Medical message boards are online resources where users with a particular condition exchange information, some of which they might not otherwise share with medical providers. Many of these boards contain a large number of posts and patient opinions and experiences that would be potentially useful to clinicians and researchers. We present an approach that is able to collect a corpus of medical message board posts, de-identify the corpus, and extract information on potential adverse drug effects discussed by users.
Monday, September 13, 2010 - 9:35am - 10:20am
Howard Winet (University of California, Los Angeles)
An implant enters a host during trauma, the wounding
process of surgery. Trauma initiates a healing course that
naturally progresses through inflammatory and repair phases
before host tissue settles down to scar or in some tissues
progresses to regeneration. The presence of an implant alters
healing if only by occupying space once filled with host
tissue. In the most desirable scenario host tissue returns to
normal function at a level above the condition that initiated
Monday, September 13, 2010 - 8:50am - 9:35am
Darrel Untereker (Medtronic)
While we tend to think of implantable medical devices as new, high tech products, they have actually been around for quite some time now. Two of the most well known types of these devices, heart valves and pacemakers, have been on the market for around 50 years. During that time, these, and similar, products have come a long ways as measured by complexity, sophistication and reliability. There are two basic classes of implantable devices, passive and active.
Tuesday, November 15, 2011 - 10:15am - 11:15am
Guillermo Sapiro (University of Minnesota, Twin Cities)
Wednesday, November 16, 2011 - 4:30pm - 5:30pm
Robert Nowak (University of Wisconsin, Madison)
In this talk I will discuss the novel experimental designs for
large-scale multiple hypothesis testing problems. Testing to determine
which genes are differentially expressed in a certain disease is a
classic instance of multiple testing in medical informatics. Tremendous
progress has been made in high-dimensional inference and testing
problems by exploiting intrinsic low-dimensional structure. Sparsity is
perhaps the simplest model for low-dimensional structure. It is based on
Tuesday, November 15, 2011 - 3:15pm - 4:15pm
W. Clem Karl (Boston University)
There has been an explosion of non-invasive biomedical sensing
modalities that have revolutionized our ability to probe the
biomedical world. Often decisions have to be made on the basis of
these increasingly high-dimensional observations. An example would be
the determination of cancer or stroke from indirect tomographic
projection measurements. The problem is frequently exacerbated by the
lack of labeled training samples from which to learn class models. In
many cases, however, there exists a latent low-dimensional sensing
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