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Archive for August, 2013

cancer-classifiers-web

Finding a better way to fight cancer doesn’t always mean discovering a new drug or surgical technique. Sometimes just defining the disease in greater detail can make a big difference. A more specific diagnosis may allow a physician to better tailor a patient’s treatment, using available therapies proven to work better on a specific subtype of disease or avoiding unnecessary complications for less aggressive cases.

“Finding better ways to stratify kids when they present and decide who needs more therapy and who needs less therapy is one of the ways in which we’ve gotten much better at treating pediatric cancer,” said Samuel Volchenboum, Computation Institute Fellow, Assistant Professor of Pediatrics at Comer Children’s Hospital and Director of the UChicago Center for Research Informatics. “For example, kids can be put in one of several different groups for leukemia, and each group has its own treatment course.”

Classically, patients have been sorted into risk or treatment groups based on demographic factors such as age or gender, and relatively simple results from laboratory tests or biopsies. Because cancer is a genetic disease, physicians hope that genetic factors will point the way to even more precise classifications. Yet despite this promise, many of the “genetic signatures” found to correlate with different subtypes of cancer are too complex – involving dozens or hundreds of genes – for clinical use and difficult to validate across patient populations.

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blight3As the Data Science for Social Good fellowship enters its final month, many of the projects with nonprofit organizations and government agencies are picking up momentum. At the DSSG website, we’re posting regular updates on the fellows’ progress: how they determined the right problem to solve, what analytic and software tools they’re using to attack those problems, and what they have learned along the way. Some of the articles even offer a glimpse at early results and prototypes developed by the team over the first two months. Here’s a sampling of those progress reports.

Cook County Land Bank: The Problem

The Cook County Land Bank Authority was recently established earlier this year as a new government agency charged with acquiring and redeveloping vacant and abandoned properties. DSSG fellows are working with The Institute for Housing Studies at DePaul University to developed a tool — a sort of “Trulia for abandoned properties” — that will help the agency determine which properties to purchase in order to produce the greatest benefit for the surrounding community.

The Cook County land bank wants to play the midwife, proactively targetingindividual properties that have redevelopment potential and could help stabilize local areas.

But there are tens of thousands of boarded up homes and overgrown lots in Cook County, and the land bank’s budget is limited. How will the agency figure out which of these properties to acquire, and what to do with them?

Where can it actually step in and be effective, investing in properties that would not otherwise have been redeveloped, instead of soon-to-be-sold or unsellable ones?

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