Publications by authors named "M P Cusimano"

Phosphorylation of connexin 43 (Cx43) is an important regulatory mechanism of gap junction (GJ) function. Cx43 is modified by several kinases on over 15 sites within its ∼140 amino acid-long C-terminus (CT). Phosphorylation of Cx43CT on S255, S262, S279, and S282 by ERK has been widely documented in several cell lines, by many investigators.

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Background: Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Machine learning techniques are used for interpreting the large amounts of data recorded by bio-loggers, but there exists no common framework for comparing the different machine learning techniques in this domain. This makes it difficult to, for example, identify patterns in what works well for machine learning-based analysis of bio-logger data.

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Objective: We compared processes of antepartum, intrapartum and postpartum care and obstetrical outcomes between physicians and non-physicians.

Design: This is a population-based retrospective matched cohort study.

Setting: The study was conducted in Ontario, Canada.

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Article Synopsis
  • Computational neurosurgery combines artificial intelligence and computational modeling to enhance the diagnosis and treatment of neurosurgical conditions, aiming to advance clinical neurosciences.
  • The field seeks to integrate ethical considerations to ensure that the use of AI is conducted responsibly and prioritizes patient care, ultimately aiming to prevent errors in treatment.
  • This initiative serves as a guide for practitioners, ethicists, and scientists in the application of ethical standards within computational neurosurgery.
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