Publications by authors named "J Weichert"

The detailed sonographic assessment of the fetal neuroanatomy plays a crucial role in prenatal diagnosis, providing valuable insights into timely, well-coordinated fetal brain development and detecting even subtle anomalies that may impact neurodevelopmental outcomes. With recent advancements in artificial intelligence (AI) in general and medical imaging in particular, there has been growing interest in leveraging AI techniques to enhance the accuracy, efficiency, and clinical utility of fetal neurosonography. The paramount objective of this focusing review is to discuss the latest developments in AI applications in this field, focusing on image analysis, the automation of measurements, prediction models of neurodevelopmental outcomes, visualization techniques, and their integration into clinical routine.

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: The objective of our study was to assess the prenatal course, associated anomalies and postnatal outcome and the predictive value of various prenatal parameters for survival in prenatally diagnosed cases of truncus arteriosus communis (TAC). : We evaluated cases from four centers between 2008 and 2021. : In 37/47 cases (78.

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Article Synopsis
  • Radiopharmaceutical therapies (RPT) trigger a type I interferon (IFN1) response in tumor cells, with the response varying based on the type of isotope used.
  • In experiments with murine tumor models, the timing and intensity of the IFN1 response were linked to the isotope's half-life and energy transfer properties.
  • Combining Ac-NM600 with immune checkpoint inhibitors enhanced survival in wild-type tumors, suggesting that the effectiveness of RPT is influenced by the radioisotope and relies on STING pathways for immune response enhancement.
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Background: Prenatal echocardiographic assessment of fetal cardiac function has become increasingly important. Fetal two-dimensional speckle-tracking echocardiography (2D-STE) allows the determination of global and segmental functional cardiac parameters. Prenatal diagnostics is relying increasingly on artificial intelligence, whose algorithms transform the way clinicians use ultrasound in their daily workflow.

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Rationale: Androgen deprivation therapy (ADT) is pivotal in treating recurrent prostate cancer and is often combined with external beam radiation therapy (EBRT) for localized disease. However, for metastatic castration-resistant prostate cancer, EBRT is typically only used in the palliative setting, because of the inability to radiate all sites of disease. Systemic radiation treatments that preferentially irradiate cancer cells, known as radiopharmaceutical therapy or targeted radionuclide therapy (TRT), have demonstrable benefits for treating metastatic prostate cancer.

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