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Network Biology: Converging on Answers to Complex Diseases. Kristin Sainani, PhD. Network biology is allowing scientists to convert their cellular parts lists into insights about complex diseases. Big Data Feeds Understanding of Obesity. How data about genes, physical activity, and the environment are yielding insights about obesity. Can Big Data Stop Opioid Abuse? Deep Learning and the Future of Biomedical Image Analysis. FROM OUR CURRENT ISSUE. What Value Could Fractals Add to Biomedical Image Analysis?

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Network Biology: Converging on Answers to Complex Diseases. Kristin Sainani, PhD. Network biology is allowing scientists to convert their cellular parts lists into insights about complex diseases. Big Data Feeds Understanding of Obesity. How data about genes, physical activity, and the environment are yielding insights about obesity. Can Big Data Stop Opioid Abuse? Deep Learning and the Future of Biomedical Image Analysis. FROM OUR CURRENT ISSUE. What Value Could Fractals Add to Biomedical Image Analysis?
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Biomedical Computation Review | biomedicalcomputationreview.com Reviews

https://biomedicalcomputationreview.com

Network Biology: Converging on Answers to Complex Diseases. Kristin Sainani, PhD. Network biology is allowing scientists to convert their cellular parts lists into insights about complex diseases. Big Data Feeds Understanding of Obesity. How data about genes, physical activity, and the environment are yielding insights about obesity. Can Big Data Stop Opioid Abuse? Deep Learning and the Future of Biomedical Image Analysis. FROM OUR CURRENT ISSUE. What Value Could Fractals Add to Biomedical Image Analysis?

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The Physiome: A Mission Imperative | Biomedical Computation Review

http://www.biomedicalcomputationreview.com/content/physiome-mission-imperative-0

The Physiome: A Mission Imperative. To understand biology—and provide appropriate medical care—scientists need to understand interactions across multiple scales. Hence the Physiome. This is the reality of human biology: events span a 109 range in lengthscale (molecular to organismal) and a 1014 range in timescale (molecular movement to years). To understand this biology—and provide appropriate medical care—scientists need to understand the interactions across these scales. Director of the Auckland Bioeng...

2

Binary Breathing | Biomedical Computation Review

http://www.biomedicalcomputationreview.com/content/binary-breathing

2004 grant to create a 3-D model of the respiratory tract. In September 2004, researchers at Pacific Northwest National Laboratory (PNNL) in Richland, Washington, received a $10 million grant to create a three-dimensional imaging and computer model of how the respiratory tract interacts with particles carried in the air. Ultimately, the researchers hope the effort will lead to a better understanding of what happens when people inhale either toxic substances or medications. How variable are we? Another im...

3

Cancer's Heterogeneity | Biomedical Computation Review

http://www.biomedicalcomputationreview.com/content/cancers-heterogeneity

Cancer might spring from a single cell gone awry, but tumors are not monolithic collections of clones. Far from it: They contain many different types of cancer cells, all with their own mutations, proliferation rates, metastatic capacities, and drug responses. Ldquo;We want to better understand how to treat tumors more effectively,” says Kornelia Polyak, MD, PhD. To get a handle on cancer’s heterogeneity, some researchers are using computational modeling and simulation. They aim to illuminate h...In July...

4

Building a Biomedical Data Ecosystem | Biomedical Computation Review

http://www.biomedicalcomputationreview.com/content/building-biomedical-data-ecosystem

Building a Biomedical Data Ecosystem. By Philip E. Bourne, PhD. This issue of the. Biomedical Computation Review fe. Atures the Centers of Excellence for Big Data Computing. These 12 Centers, funded by the NIH’s Big Data to Knowledge Initiative (BD2K), have been established on the principle that we must be united in our efforts to accelerate the translational impact of big data on human health. The DDICC is a community-based effort to establish core principles for finding, accessing, and citing digital r...

5

Biomedical Computation Review

http://www.biomedicalcomputationreview.com/archive-landing

Data's Identity Crisis: The Struggle to Name It, Describe It, Find It, and Publish It; PLUS: The Rise of Cryo-Electron Microscopy; PLUS: Computing the Gut. Special Issue: Education in the Era of Big Data. Wearing Your Health on Your Sleeve; PLUS: Integrating the Fragmented Mind. NIH Launches a United Ecosystem for Big Data; PLUS: Unlocking the Genetics of Complex Diseases. Top 10 Retrospective; PLUS: A Top Twelve List for Biomedical Computing. A recognition of biocomputings successes. More Than Fate: Com...

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Biomedical Computation Review

Network Biology: Converging on Answers to Complex Diseases. Kristin Sainani, PhD. Network biology is allowing scientists to convert their cellular parts lists into insights about complex diseases. Big Data Feeds Understanding of Obesity. How data about genes, physical activity, and the environment are yielding insights about obesity. Can Big Data Stop Opioid Abuse? Deep Learning and the Future of Biomedical Image Analysis. FROM OUR CURRENT ISSUE. What Value Could Fractals Add to Biomedical Image Analysis?

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Biomedical Computation Review

NIH Launches a United Ecosystem for Big Data. 12 Big Data to Knowledge Centers of Excellence funded. Stem Cell (Re)Programming: Computing New Recipes. Sarah C.P. Williams. Leveraging big data, modeling, and computational biology to create new protocols. Assembling the 3-D Genome: A Puzzle with Many Solutions. Using computational approaches to assemble plausible 3-D structures. Unlocking the Genetics of Complex Diseases: GWAS and Beyond. Building upon the clues provided by GWAS to gain new insights. Can t...

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Biomedical Computation Review

Network Biology: Converging on Answers to Complex Diseases. Kristin Sainani, PhD. Network biology is allowing scientists to convert their cellular parts lists into insights about complex diseases. Big Data Feeds Understanding of Obesity. How data about genes, physical activity, and the environment are yielding insights about obesity. Can Big Data Stop Opioid Abuse? Deep Learning and the Future of Biomedical Image Analysis. FROM OUR CURRENT ISSUE. What Value Could Fractals Add to Biomedical Image Analysis?

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