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https://www.readbyqxmd.com/read/28089726/hne-and-cholesterol-oxidation-products-in-colorectal-inflammation-and-carcinogenesis
#1
Daniela Rossin, Simone Calfapietra, Barbara Sottero, Giuseppe Poli, Fiorella Biasi
Consistent experimental data suggest the importance of inflammation-associated oxidative stress in colorectal cancer (CRC) pathogenesis. Inflammatory bowel disease with chronic intestinal inflammation is now considered a precancerous condition. Oxidative stress is an essential feature of inflammation. Activation of redox-sensitive pro-inflammatory cell signals and inflammatory mediators concur to establish a pro-tumoral environment. In this frame, lipid oxidation products, namely 4-hydroxynonenal and oxysterols, can be produced in big quantity so as to be able to exert their function as inducers of cell signaling pathways of proliferation and survival...
January 12, 2017: Free Radical Biology & Medicine
https://www.readbyqxmd.com/read/28079526/a-measurement-based-generalized-source-model-for-monte-carlo-dose-simulations-of-ct-scans
#2
Xin Ming, Yuanming Feng, Ransheng Liu, Chengwen Yang, Li Zhou, Hezheng Zhai, Jun Deng
The goal of this study is to present a generalized source model (GSM) for accurate Monte Carlo dose simulations of CT scans based solely on the measurement data without a priori knowledge of scanner specifications. The proposed generalized source model consists of an extended circular source located at x-ray target level with its energy spectrum, source distribution and fluence distribution derived from a set of measurement data conveniently available in the clinic. Specifically, the central axis percent depth dose (PDD) curves measured in water and the cone output factors measured in air were used to derive the energy spectrum and the source distribution respectively with a Levenberg-Marquardt algorithm...
January 12, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28062977/angiopoietin-pathway-gene-expression-associated-with-poor-breast-cancer-survival
#3
Rajesh Ramanathan, Amy L Olex, Mikhail Dozmorov, Harry D Bear, Leopoldo Jose Fernandez, Kazuaki Takabe
PURPOSE: Angiogenesis is one of the hallmarks of cancer and is essential for cancer progression and metastasis. However, clinical trials with vascular endothelial growth factor (VEGF) pathway inhibitors have failed to show overall survival benefit in breast cancer. Targeted therapy against the angiopoietin pathway, a downstream angiogenesis cascade, could be effective in breast cancer. This study investigates the association of angiopoietin pathway gene expression with breast cancer survival using a "big data" approach employing RNA sequencing data from The Cancer Genome Atlas (TCGA)...
January 6, 2017: Breast Cancer Research and Treatment
https://www.readbyqxmd.com/read/28059608/near-future-of-tumor-immunology-anticipating-resistance-mechanisms-to-immunotherapies-a-big-challenge-for-clinical-trials
#4
João Paulo Portela Catani, Sandy Adjemian, Rachel P Riechelmann, Bryan E Strauss
The success of immunotherapies brings hope for the future of cancer treatment. Even so, we are faced with a new challenge, that of understanding which patients will respond initially and, possibly, develop resistance. The examination of the immune profile, especially approaches related to the immunoscore, may foretell which tumors will have a positive initial response. Ideally, the mutation load would also be analysed, helping to reveal tumor associated antigens that are predictive of an effective cytolytic attack...
January 6, 2017: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/28048881/we-h-brb-02-where-do-we-stand-in-the-applications-of-big-data-in-radiation-oncology
#5
L Xing
: Big Data in Radiation Oncology: (1) Overview of the NIH 2015 Big Data Workshop, (2) Where do we stand in the applications of big data in radiation oncology?, and (3) Learning Health Systems for Radiation Oncology: Needs and Challenges for Future Success The overriding goal of this trio panel of presentations is to improve awareness of the wide ranging opportunities for big data impact on patient quality care and enhancing potential for research and collaboration opportunities with NIH and a host of new big data initiatives...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048759/tu-a-207b-00-imaging-genomics-associations-and-biological-correlates-of-radiomics
#6
Yitan Zhu
With the growth of quantitative imaging and quantitative image analysis, image-based biomarkers (i.e. image-based phenotypes) are becoming potential descriptors in personalized medicine as well as in cancer discovery research. Genomic study measures molecular cancer status and provides abundant information about cancer development mechanism. There is a need to understand the relationship between the image-based cancer phenotypes (from radiomics) and the underlying molecular and genomic system. Imaging scientists and genomic scientists need to be able to speak the same language in this common era of Big Data...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048692/mo-fg-207b-01-thorax-lung
#7
H Aerts
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048439/we-h-brb-00-big-data-in-radiation-oncology
#8
Stanley Benedict
: Big Data in Radiation Oncology: (1) Overview of the NIH 2015 Big Data Workshop, (2) Where do we stand in the applications of big data in radiation oncology?, and (3) Learning Health Systems for Radiation Oncology: Needs and Challenges for Future Success The overriding goal of this trio panel of presentations is to improve awareness of the wide ranging opportunities for big data impact on patient quality care and enhancing potential for research and collaboration opportunities with NIH and a host of new big data initiatives...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048227/we-h-brb-03-learning-health-systems-for-radiation-oncology-needs-and-challenges-for-future-success
#9
T McNutt
: Big Data in Radiation Oncology: (1) Overview of the NIH 2015 Big Data Workshop, (2) Where do we stand in the applications of big data in radiation oncology?, and (3) Learning Health Systems for Radiation Oncology: Needs and Challenges for Future Success The overriding goal of this trio panel of presentations is to improve awareness of the wide ranging opportunities for big data impact on patient quality care and enhancing potential for research and collaboration opportunities with NIH and a host of new big data initiatives...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048031/mo-fg-207b-02-breast
#10
H Li
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047788/we-h-brb-01-overview-of-the-astro-nih-aapm-2015-workshop-on-exploring-opportunities-for-radiation-oncology-in-the-era-of-big-data
#11
S Benedict
: Big Data in Radiation Oncology: (1) Overview of the NIH 2015 Big Data Workshop, (2) Where do we stand in the applications of big data in radiation oncology?, and (3) Learning Health Systems for Radiation Oncology: Needs and Challenges for Future Success The overriding goal of this trio panel of presentations is to improve awareness of the wide ranging opportunities for big data impact on patient quality care and enhancing potential for research and collaboration opportunities with NIH and a host of new big data initiatives...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047744/we-a-201-01-memorial-introduction
#12
C Marshall
: Chris Marshall: Memorial Introduction Donald Edmonds Herbert Jr., or Don to his colleagues and friends, exemplified the "big tent" vision of medical physics, specializing in Applied Statistics and Dynamical Systems theory. He saw, more clearly than most, that "Making models is the difference between doing science and just fooling around [ref Woodworth, 2004]". Don developed an interest in chemistry at school by "reading a book" - a recurring theme in his story. He was awarded a Westinghouse Science scholarship and attended the Carnegie Institute of Technology (later Carnegie Mellon University) where his interest turned to physics and led to a BS in Physics after transfer to Northwestern University...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047352/mo-fg-207b-03-brain
#13
P Tiwari
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047278/tu-a-207b-01-imaging-genomics-associations-and-biological-correlates-of-radiomics
#14
Y Zhu
With the growth of quantitative imaging and quantitative image analysis, image-based biomarkers (i.e. image-based phenotypes) are becoming potential descriptors in personalized medicine as well as in cancer discovery research. Genomic study measures molecular cancer status and provides abundant information about cancer development mechanism. There is a need to understand the relationship between the image-based cancer phenotypes (from radiomics) and the underlying molecular and genomic system. Imaging scientists and genomic scientists need to be able to speak the same language in this common era of Big Data...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047091/we-a-201-02-modern-statistical-modeling
#15
A Niemierko
: Chris Marshall: Memorial Introduction Donald Edmonds Herbert Jr., or Don to his colleagues and friends, exemplified the "big tent" vision of medical physics, specializing in Applied Statistics and Dynamical Systems theory. He saw, more clearly than most, that "Making models is the difference between doing science and just fooling around [ref Woodworth, 2004]". Don developed an interest in chemistry at school by "reading a book" - a recurring theme in his story. He was awarded a Westinghouse Science scholarship and attended the Carnegie Institute of Technology (later Carnegie Mellon University) where his interest turned to physics and led to a BS in Physics after transfer to Northwestern University...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046682/mo-fg-207b-04-respond-to-therapy
#16
W Lu
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046637/mo-fg-207b-00-state-of-the-art-in-radiomics-in-radiology-and-radiation-oncology
#17
Maryellen Giger, Joseph Deasy
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046561/we-a-201-00-anne-and-donald-herbert-distinguished-lectureship-on-modern-statistical-modeling
#18
Joseph Deasy
: Chris Marshall: Memorial Introduction Donald Edmonds Herbert Jr., or Don to his colleagues and friends, exemplified the "big tent" vision of medical physics, specializing in Applied Statistics and Dynamical Systems theory. He saw, more clearly than most, that "Making models is the difference between doing science and just fooling around [ref Woodworth, 2004]". Don developed an interest in chemistry at school by "reading a book" - a recurring theme in his story. He was awarded a Westinghouse Science scholarship and attended the Carnegie Institute of Technology (later Carnegie Mellon University) where his interest turned to physics and led to a BS in Physics after transfer to Northwestern University...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28035989/neuroblastoma-a-paradigm-for-big-data-science-in-pediatric-oncology
#19
REVIEW
Brittany M Salazar, Emily A Balczewski, Choong Yong Ung, Shizhen Zhu
Pediatric cancers rarely exhibit recurrent mutational events when compared to most adult cancers. This poses a challenge in understanding how cancers initiate, progress, and metastasize in early childhood. Also, due to limited detected driver mutations, it is difficult to benchmark key genes for drug development. In this review, we use neuroblastoma, a pediatric solid tumor of neural crest origin, as a paradigm for exploring "big data" applications in pediatric oncology. Computational strategies derived from big data science-network- and machine learning-based modeling and drug repositioning-hold the promise of shedding new light on the molecular mechanisms driving neuroblastoma pathogenesis and identifying potential therapeutics to combat this devastating disease...
December 27, 2016: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28034409/visualizing-the-knowledge-structure-and-evolution-of-big-data-research-in-healthcare-informatics
#20
REVIEW
Dongxiao Gu, Jingjing Li, Xingguo Li, Changyong Liang
BACKGROUND: In recent years, the literature associated with healthcare big data has grown rapidly, but few studies have used bibliometrics and a visualization approach to conduct deep mining and reveal a panorama of the healthcare big data field. METHODS: To explore the foundational knowledge and research hotspots of big data research in the field of healthcare informatics, this study conducted a series of bibliometric analyses on the related literature, including papers' production trends in the field and the trend of each paper's co-author number, the distribution of core institutions and countries, the core literature distribution, the related information of prolific authors and innovation paths in the field, a keyword co-occurrence analysis, and research hotspots and trends for the future...
February 2017: International Journal of Medical Informatics
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