Publications by authors named "M A HORNING"

As a reliable alternative to animal testing in cardiovascular research, it is crucial to improve differentiation of immortalized cell lines. In this study, we focused on optimizing the differentiation efficiency of the H9c2 cell line into cardiomyocytes using a high-throughput, automated image processing approach. While previous studies used protocols involving retinoic acid to enhance cardiac differentiation, we applied a simplified medium composition that results in higher differentiation rates.

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  • Wildlife researchers face the challenge of capturing and handling animals for data collection while minimizing stress impacts on their results.
  • A study on juvenile northern elephant seals showed a moderate stress response from handling, with temporary hormonal changes and slight alterations in blood parameters, but indicators of stress returned to normal quickly.
  • The seals were successfully resighted in the wild after translocation, demonstrating that while handling induces short-term physiological stress, it does not cause long-term harm, making them suitable for research.
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The stability of wave conduction in the heart is strongly related to the proper interplay between the electrophysiological activation and mechanical contraction of myocytes and extracellular matrix (ECM) properties. In this study, we statistically compare bioengineered cardiac tissues cultured on soft hydrogels ( kPa) and rigid glass substrates by focusing on the critical threshold of alternans, network-physiological tissue properties, and the formation of stable spiral waves that manifest after wave breakups. For the classification of wave dynamics, we use an improved signal oversampling technique and introduce simple probability maps to identify and visualize spatially concordant and discordant alternans as V- and X-shaped probability distributions.

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  • * Conducted in multiple hospitals from 2018-2020, the study involved pediatric patients aged 18 months to 17 years and utilized a handheld ultrasound device to collect data for training the algorithm.
  • * Results showed the algorithm achieved an accuracy of 88.5% in identifying lung consolidation, with strong sensitivity and specificity, suggesting it could be effective in clinical settings for diagnosing pneumonia.
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Background: Among the chronically ill, end-of-life conversations are often delayed until emergently necessary and the quality of those conversations and subsequent decision-making become compromised by critical illness, uncertainty, and anxiety. Many patients receive treatment that they would have declined if they had a better understanding of benefits and risks. Primary care providers are ideal people to facilitate end-of-life conversations, but these conversations rarely occur in the out-patient setting.

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