Publications by authors named "M Goggins"

Background: Researchers and participants who are members of minoritized populations experience negative psychosocial and wellness outcomes like burnout. Burnout may manifest uniquely for Black women in academia conducting research with Black women participants navigating similar sociocultural contexts.

Objectives: This article qualitatively interprets our experiences as 15 Black women scholar-practitioners at a midwestern university conducting community-engaged research.

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Objectives: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal disease that is challenging to detect at an early stage. Biomarkers are needed that can detect PDAC early in the course of disease when interventions lead to the best outcomes. We highlight study design and statistical considerations that inform pancreatic cancer early detection biomarker evaluation.

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Better models are needed to identify active drugs to treat pancreatic adenocarcinoma (PAC) patients. We used 3D hanging drop cultures to produce spheroids from five PAC cell lines and tested nine FDA-approved drugs in clinical use. All PAC cell lines in 2D culture were sensitive to three drugs (gemcitabine, docetaxel and nab-paclitaxel), however most PAC (4/5) 3D spheroids acquired profound chemoresistance even at 10 µM.

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Article Synopsis
  • The study investigates how AI models, specifically explainable boosting machines (EBMs), improve the management of pancreatic cysts by assessing risk levels for malignant transformation compared to standard clinical practices.
  • Two different EBM models were evaluated, with one incorporating clinical features and cyst fluid molecular markers (CFMM), based on a dataset of 850 cases.
  • Results showed that the models provided higher accuracy in guiding patient management decisions, such as monitoring and surgery, and could significantly reduce unnecessary surgeries and improve classification for discharge compared to traditional clinical approaches.
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