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  1. 1
    Intracellular Magnetic Manipulations: Optimized tweezers enable precise 3-D manipulations of a cell's organelles

    Intracellular Magnetic Manipulations: Optimized tweezers enable precise 3-D manipulations of a cell's organelles by Williams, Ruth

    Published in The Scientist (Philadelphia, Pa.) (01-06-2019)
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  2. 2
    Taming the Beast: Might working with pathogens in the body, rather than trying to kill them, lead to better health?

    Taming the Beast: Might working with pathogens in the body, rather than trying to kill them, lead to better health? by Yeager, Ashley

    Published in The Scientist (Philadelphia, Pa.) (01-06-2019)
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  3. 3
    QUANTUM BIOLOGY: Could strange behavior of particles at the atomic and subatomic scales solve some of life's greatest puzzles?

    QUANTUM BIOLOGY: Could strange behavior of particles at the atomic and subatomic scales solve some of life's greatest puzzles? by Offord, Catherine

    Published in The Scientist (Philadelphia, Pa.) (01-06-2019)
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  4. 4
    COMMENSAL MENACE: Mounting evidence points to an unexpected trigger of autoimmune disease: our own microbiomes

    COMMENSAL MENACE: Mounting evidence points to an unexpected trigger of autoimmune disease: our own microbiomes by Keener, Amanda B

    Published in The Scientist (Philadelphia, Pa.) (01-06-2019)
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  5. 5
    Microbiome Miner: Rob Knight is pioning the development of computational tools to analyze microbial sequencing data.(Occupation overview)

    Microbiome Miner: Rob Knight is pioning the development of computational tools to analyze microbial sequencing data.(Occupation overview) by Azvolinsky, Anna

    Published in The Scientist (Philadelphia, Pa.) (01-06-2019)
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  6. 6
    Run Program: Cancer: Using input from images to-omes, artificial intelliegnce can find patterns in tumors and generate prognoses where human clinicians see only a jumble of data

    Run Program: Cancer: Using input from images to-omes, artificial intelliegnce can find patterns in tumors and generate prognoses where human clinicians see only a jumble of data by Dance, Amber

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  7. 7
    AL Verses Animal Testing: Machina learning could be the key to reducing the use of animals in experiments

    AL Verses Animal Testing: Machina learning could be the key to reducing the use of animals in experiments by Hartung, Thomas

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  8. 8
    Autopilot Advocate: Carnegie Mellon computational biologists Bob Murphy is betting that high-throughout experiments orchestrated by machine learning algorithms will help crack biology's mysteries

    Autopilot Advocate: Carnegie Mellon computational biologists Bob Murphy is betting that high-throughout experiments orchestrated by machine learning algorithms will help crack biology's mysteries by Williams, Shawna

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  9. 9
    Notebook: Going Through the Motions

    Notebook: Going Through the Motions by Azvolinsky, Anna

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  10. 10
    A Silicon Brain: Biology-inspired computer chips may help scientists better simulate neurological function

    A Silicon Brain: Biology-inspired computer chips may help scientists better simulate neurological function by Ravindran, Sandeep

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  11. 11
    A Deeper Look: With the help of computer programs that learn from experience, researchers look for meaning in vast volumes of image data

    A Deeper Look: With the help of computer programs that learn from experience, researchers look for meaning in vast volumes of image data by Akst, Jef

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  12. 12
    A Wider View: AL makes inroads in analysis of images of the world on macroscopic scale

    A Wider View: AL makes inroads in analysis of images of the world on macroscopic scale by Wilke, Carolyn

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  13. 13
    Automating the Fight Against Superbugs: Antibiotic resistance is on the rise. Can AL help?

    Automating the Fight Against Superbugs: Antibiotic resistance is on the rise. Can AL help? by Dance, Amber

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  14. 14
    Microbiology Meets Machine Learning: Artificially intelligent software augments the study of host-pathogen interactions

    Microbiology Meets Machine Learning: Artificially intelligent software augments the study of host-pathogen interactions by Williams, Ruth

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  15. 15
    Computing a Cure: The pharmaceutical industry is looking to machine learning to overcome complex challenges in drug development

    Computing a Cure: The pharmaceutical industry is looking to machine learning to overcome complex challenges in drug development by Nogrady, Bianca

    Published in The Scientist (Philadelphia, Pa.) (01-05-2019)
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  16. 16
    TINY BUT MIGHTY: Advances in the functional characterization of newly discovered microproteins hint at their diverse roles in health and disease

    TINY BUT MIGHTY: Advances in the functional characterization of newly discovered microproteins hint at their diverse roles in health and disease by Rathore, Annie

    Published in The Scientist (Philadelphia, Pa.) (01-04-2019)
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  17. 17
    Solid Tumors Meet CAR Ts: Engineered T cells move out of their home environment of the blood and into new territory.(Chimeric antigen receptor T cell )

    Solid Tumors Meet CAR Ts: Engineered T cells move out of their home environment of the blood and into new territory.(Chimeric antigen receptor T cell ) by Grens, Kerry

    Published in The Scientist (Philadelphia, Pa.) (01-04-2019)
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  18. 18
    Drug Sponge: a 3D printed, latticework tube installed in a vein collects excess chemotherapy medication in pigs

    Drug Sponge: a 3D printed, latticework tube installed in a vein collects excess chemotherapy medication in pigs by Williams, Ruth

    Published in The Scientist (Philadelphia, Pa.) (01-04-2019)
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  19. 19
    Knock It Into the Park: techniques for upping the efficiency of knocking in genes

    Knock It Into the Park: techniques for upping the efficiency of knocking in genes by Nowogrodzki, Anna

    Published in The Scientist (Philadelphia, Pa.) (01-03-2019)
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  20. 20
    Master Decoder.(Kari Stefansson, Chief Electoral Officer, Reykjavik)

    Master Decoder.(Kari Stefansson, Chief Electoral Officer, Reykjavik) by Azvolinsky, Anna

    Published in The Scientist (Philadelphia, Pa.) (01-03-2019)
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