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The results suggest that the data-driven computer modeling strategy termed perturbation biology could be a useful tool for identifying effective cancer drug combinations for further preclinical research, possibly followed by clinical trials.
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Shea et al. [ 20] found evidence from a meta-analysis of randomized controlled studies that supports the effectiveness of data-driven computer-based reminder systems to improve prevention services in the ambulatory care setting.
Comparing our proposed request-driven scheme with an existing data-driven scheme using computer simulation, we find that our request-driven scheme incurs much lower control overhead while providing comparable or better efficiency in data delivery.
The state is on a tight timeline to implement data-driven teacher evaluations, create computer systems to track student progress, toughen curricular standards and open more charter schools.
Those who have grown up in a data-driven world that includes computer modeling can look to science (rather than astrology, witchcraft, organized religion or political ideology) for answers to complex questions.
Much research has been done in recent years in the development of sophisticated data-driven models for realistic computer-based simulations of infectious disease spreading.
In particular, we did not use computer-determined, data-driven methods that determine order by proportions of variance accounted for (R 2 ).
Like Katze, Aebersold transitioned from single-laboratory to multi-investigator work when, in the late 1990s, the doubling of the NIH budget coincided with the rise of systems biology, a data-driven field that brings together biologists, computer programmers, bioengineers, and statisticians.
SECAUCUS, N.J. — For years, hotels, airlines, banks, online retailers and other data-driven businesses have turned to powerful computers to help determine the optimal price for their products, or to find ways to recommend items that groups of customers with similar tastes might want to buy.
In no particular order, here are some product categories made possible with today's deep learning techniques: customized data compression, compressive sensing, data-driven sensor calibration, offline AI, human-computer interaction, gaming, artistic assistants, unstructured data mining, voice synthesis.
That's the "big data" story: Data-driven discovery will become the norm, driven by advances in computer science.
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