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3.1.1 PRÉVENTION - TABAC - E-CIGS
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4.9 DÉP., DIAG. & PRONO. - SEIN
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It’s Ok to Opt Out of Mammograms [The Last Word On Nothing]
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None of the mammography studies we have is perfect, but in absolute numbers, there’s no question that far more women are harmed than helped by mammograms. Yet because the comparison is essentially apples to oranges (unnecessary treatments versus a life saved, for instance), deciding whether the harms are outweighed by the benefits comes down to a values judgement, not a math problem.
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5.1 TRAITEMENTS - PRÉ-CLINIQUE
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Resisting Protein Degradation: The Cells Fight Back [In The Pipeline]
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This is an area of research that we can expect to see more of as we continue to make more degraders and send more of them into the clinic: you not only want to target proteins that are important in some particular disease, but you want to make sure that your targeted protein is optimally degradable by the system you’re choosing.
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5.10 TRAITEMENTS - ESSAIS
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5.12.8 IMMUNOTHÉRAPIES - ECONOMIE
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5.2.3 PHARMA - ÉCONOMIE
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5.3 TRAITEMENTS - FDA, EMA, NICE...
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N-of-1 Trials: FDA Plots Path to Regulation [RAPS]
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The US Food and Drug Administration (FDA) is taking notice of a unique and recent phenomenon where physicians and specialists can create a tailored treatment to help or even cure an individual patient with a rare genetic mutation that could prove fatal.
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5.4 TRAITEMENTS - ECONOMIE
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5.5 ASCO
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6.1 OBSERVATION
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6.13 SOINS PALLIATIFS
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Is precision medicine ignoring people dying of cancer? [Cancer World]
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While we’re pouring resources into learning what keeps cancer cells alive, with the aim of blocking their supply lines, there is next to no interest in the molecular pathways that end up choking the life out of cancer patients, or in the biology behind the longer and better lives that palliative care can offer.
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6.6 PUBLICATIONS
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Predicting translational progress in biomedical research [PLOS Biology]
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We found that distinct knowledge flow trajectories are linked to papers that either succeed or fail to influence clinical research. Translational progress in biomedicine can therefore be assessed and predicted in real time based on information conveyed by the scientific community’s early reaction to a paper.
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6.7 DMP, BIG DATA & APPLIS
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