by | Mar 28, 2018 | Gilboa, Elad, La Rosa Araya, Patricio, Nehorai, Arye
— A novel method for solving the inverse problem of inferring the conductivity tensor field structure (e.g. biological tissue) from a set spatiotemporal measurement. The new method is computationally more efficient than existing methods. We achieved the computational efficiency by using the optimizati…
by | Mar 28, 2018 | Gilboa, Elad
— Many problems require the analysis of large, high-dimensional datasets, which make the problem intractable to most optimization algorithms. Gilboa has developed a new parallel distributed algorithm for block optimization problems using adaptive regularizer PDARÂ. PDAR is able to solve both t…
by | Mar 10, 2018 | Benzinger, Tammie, Wang, Qing, Wang, Yong
— Background: One in three seniors will die of Alzheimer’s disease (AD) or other neurodegenerative diseases. As the prevalence of AD increases rapidly, there is a strong need for early diagnoses and the ability to evaluate efficacy of drug treatments. Typically, a combination of neurological tes…
by | Mar 10, 2018 | Danieley, Jonathan, LaBrash, Jason, Mutic, Sasa, Santanam, Lakshmi, Scholle, Glen
— Software management tool for clinic business manager & coordination tool. Collects information on patient flow, treatment plans, machine availability and personnel to optimize clinic operations.
by | Mar 10, 2018 | Ellis, Matthew, Luo, Jingqin
— Identifying patients at risk of relapse while undergoing particular treatment protocols is critically important yet challenging to do in a timely manner. Researchers at Washington University have deveoped a new method to rapidly and accurately determine relapse risk in a human subject afflicted with…