Publications by authors named "W B Nelson"

Article Synopsis
  • Machine learning algorithms can effectively identify data irregularities in clinical trials with less human intervention than traditional methods.
  • The study analyzed data from seven historical clinical trials involving 77,001 participants and found significant rates of form-level irregularities.
  • The proposed machine learning algorithm showed better performance than previously established methods in detecting these irregularities, indicating its potential for improving data quality in clinical research.
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The deep inferior epigastric perforator (DIEP) flap is the preferred method for autologous breast reconstruction after mastectomy, but risks the development of hernia, bulge, and decreased core strength. Robotic harvest of DIEP vessels may limit abdominal wall morbidity through smaller fascial incisions and preservation of motor nerves. This study shows the expected learning curve (LC) for robotic harvest and compares the LC between a general surgeon (GS) and a plastic surgeon (PS).

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Aims/hypothesis: The aim of this work was to explore molecular amino acids (AAs) and related structures of HLA-DQA1-DQB1 that underlie its contribution to the progression from stages 1 or 2 to stage 3 type 1 diabetes.

Methods: Using high-resolution DQA1 and DQB1 genotypes from 1216 participants in the Diabetes Prevention Trial-Type 1 and the Diabetes Prevention Trial, we applied hierarchically organised haplotype association analysis (HOH) to decipher which AAs contributed to the associations of DQ with disease and their structural properties. HOH relied on the Cox regression to quantify the association of DQ with time-to-onset of type 1 diabetes.

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Cancer researchers tend to be well-versed in communicating research and research results to scientific audiences. To maintain momentum and progress against cancer, they must acquire and nurture skills allowing for better engagement with the lay public.

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The purpose of this study was to examine the effects of menstrual cycle phase on myofiber injury, regenerative events, and inflammation after electrical stimulation (ES)-induced myofiber damage. Twenty-eight premenopausal women (20.8 ± 2 yr) were randomized into early follicular (EF; = 14) and late follicular (LF; = 14) groups.

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