• Mashup Score: 0

    Circadian rhythms regulate various processes in the human body, including drug metabolism. Chronotherapy optimizes treatment timing based on the circadian rhythm of the individual patient, such that the treatment efficacy is maximized, and adverse effects are minimized. It has been explored in different cancers with varying conclusions. Glioblastoma multiforme (GBM) is the most aggressive type of…

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    • Editor pick of Mar issue M Petkovic & coll review recent advances in chronotherapy regimens for treatment of #Glioblastoma treatments w/ drugs of circadian phase specific activity new approaches targeting elements of the circadian clock. Read https://t.co/vqpUHGVeKe https://t.co/jApld6k4ku

  • Mashup Score: 1

    Circadian rhythms regulate various processes in the human body, including drug metabolism. Chronotherapy optimizes treatment timing based on the circadian rhythm of the individual patient, such that the treatment efficacy is maximized, and adverse effects are minimized. It has been explored in different cancers with varying conclusions. Glioblastoma multiforme (GBM) is the most aggressive type of…

    Tweet Tweets with this article
    • Editor pick of Mar issue M Petkovic & coll review recent advances in chronotherapy regimens for treatment of #Glioblastoma treatments w/ drugs of circadian phase specific activity new approaches targeting elements of the circadian clock. Read https://t.co/vqpUHGVMzM https://t.co/uJhUkLq0or

  • Mashup Score: 1

    Subgroup analysis is key for identifying performance disparities of AI models, but statistical differences across subgroups need to be taken into account when analyzing potential biases in disease detection. The proposed methodology provides a comprehensive framework for subgroup analysis enabling further research into the underlying causes of disparities.

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    • Editor pick from March issue @GlockerBen & coll shed some light on how dataset biases manifest in predictive models by exploring methodology for subgroup analysis in image-based disease detection models. Read https://t.co/24UbBYmPna #bias #disparities #fairness https://t.co/BU32uJALrI