Publications by authors named "D Fok"

Background: The development of the breast for lactation occurs throughout pregnancy. It is unknown whether pregnancy complications resulting in poor fetal growth can affect breastfeeding (BF) success.

Objectives: We examined whether fetal growth-related pregnancy complications were associated with earlier BF cessation and changes in the concentrations of human milk biomarkers of low milk production.

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Background: The cognitive benefits of breastfeeding are widely recognized; however, its effects on brain development and later academic skills require further examination. This study aimed to examine the longitudinal relations between breastmilk feeding, neurophysiological changes, and early academic skills.

Methods: In the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort, breastmilk feeding practices were collected every 3 months from 3 weeks to 18 months postpartum.

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Objective: To assess frontal plane motion of the pelvis and lumbar spine during 2 h of seated and standing office work and evaluate associations with transient low back pain.

Background: Although bending and twisting motions are cited as risk factors for low back injuries in occupational tasks, few studies have assessed frontal plane motion during sedentary exposures.

Methods: Twenty-one participants completed 2 h of seated and standing office work while pelvic obliquity, lumbar lateral bending angles, and ratings of perceived low back pain were recorded.

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Psoriasis is a debilitating chronic inflammatory systemic condition largely affecting the skin. Major surgery is relatively contraindicated due to the propensity for triggering psoriatic flares and koebnerization of the surgical scars. We detail an interesting case of complete psoriasis remission following a right nipple-sparing mastectomy with sentinel lymph node biopsy with vascular augmented pedicled transverse rectus abdominal myocutaneous (TRAM) flap in a patient with systemic psoriasis vulgaris and arthropathy.

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Counting cells is a cornerstone of tracking disease progression in neuroscience. A common approach for this process is having trained researchers individually select and count cells within an image, which is not only difficult to standardize but also very time-consuming. While tools exist to automatically count cells in images, the accuracy and accessibility of such tools can be improved.

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