Kate Madden Yee is a journalist at AuntMinnie.com. She has been writing about medical imaging since 1998, with a focus on MRI and CT, and has explored various aspects of medicine and healthcare, including diagnostics and healthcare technology. Kate's work has been featured in LabPulse, Cook Medical Australia, and AuntMinnie.com.
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Kate Madden Yee's articles focus predominantly on medical imaging, particularly MRI and CT scans, with an emphasis on how these technologies are used in cancer diagnosis and other medical conditions. Her coverage heavily relies on data citations.
If reaching out to Kate, consider offering insights or data-driven information related to advancements or new research findings in the field of medical imaging, especially concerning MRI and CT scans as they pertain to cancer diagnosis and treatment. Additionally, experts who can provide detailed analysis based on empirical evidence would likely resonate well with her coverage style.
Since Kate’s geographic focus is not specified but she covers scientific topics widely applicable across regions, pitches should emphasize universal relevance rather than regional specificity.
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Study results show that a single resting-state scan yields individualized risk trajectories that identify high-risk patients.
This week, we're highlighting our coverage of three conferences: AIUM, SNMMI, and ASCO.
By: Kate Madden Yee
The findings suggest that menopause represents "an important neurological transition," researchers noted.
By: Kate Madden Yee
The strongest effects of pollution exposure is seen in women, even at moderate levels typical of high-income countries.
By: Kate Madden Yee
Accurate risk prediction for coronary heart disease helps clinicians guide patient therapy and follow-up.
The guidance is intended to provide consensus on the acquisition, interpretation, and reporting of prostate MRI.
Accurate risk prediction for coronary heart disease helps clinicians guide patient therapy and follow-up.
Socioeconomic conditions leave the deepest imprint on brain function of any factor, researchers reported.
The models' performance is particularly striking when it comes to small tumors.
The findings could reframe how clinicians and researchers interpret this imaging abnormality, wrote a team led by doctoral candidate Ingmar Eiling of Leiden University Medical Center in the Netherlands. The group's results were presented at the recent International Society for Magnetic Resonance in Medicine (ISMRM) meeting and were published May 11 in
