Publications by authors named "Michael N Kent"

Article Synopsis
  • Artificial intelligence is making significant strides in clinical applications like dermatopathology, enhancing efficiency, accuracy, and reducing costs through advanced computer-aided diagnostics.
  • The study evaluated the effectiveness of deep learning algorithms in diagnosing three skin conditions: nodular basal cell carcinoma, dermal nevi, and seborrheic keratoses, using Whole Slide Images (WSIs) and a specially developed neural network.
  • The AI system demonstrated high accuracy, correctly identifying 99.45% of BCCs, 99.4% of dermal nevi, and 100% of seborrheic keratoses, suggesting that deep learning could be a valuable tool for dermatopathologists, potentially streamlining their workflow.
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UVB wavelengths of light induce the formation of photoproducts in genomic DNA that are potentially mutagenic and detrimental to epidermal cell function. The mineralocorticoid and androgen receptor antagonist spironolactone (SP) was recently identified as an inhibitor of UV photoproduct removal in human cancer cells in vitro via its ability to promote the rapid proteolytic degradation of the DNA repair protein XPB. Using normal human keratinocytes in vitro and skin explants ex vivo, we found that SP rapidly depleted XPB protein in both systems and abrogated two major responses to UVB-induced DNA damage, including the removal of UV photoproducts from genomic DNA and the activation of ATR/ATM DNA damage kinase signaling.

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Importance: Digital pathology represents a transformative technology that impacts dermatologists and dermatopathologists from residency to academic and private practice. Two concerns are accuracy of interpretation from whole-slide images (WSI) and effect on workflow. Studies of considerably large series involving single-organ systems are lacking.

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Background: Skin melanocytes can give rise to benign and malignant neoplasms. Discrimination of an early melanoma from an unusual/atypical benign nevus can represent a significant challenge. However, previous studies have shown that in contrast to benign nevi, melanoma demonstrates pervasive chromosomal aberrations.

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As new technologies come within reach for the average cytogenetic laboratory, the study of chromosome structure has become increasingly more sophisticated. Resolution has improved from karyotyping (in which whole chromosomes are discernible) to fluorescence in situ hybridization and comparative genomic hybridization (CGH, with which specific megabase regions are visualized), array-based CGH (aCGH, examining hundreds of base pairs), and next-generation sequencing (providing single base pair resolution). Whole genome next-generation sequencing remains a cost-prohibitive method for many investigators.

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2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) elicits a broad spectrum of species-specific effects that have not yet been fully characterized. This study compares the temporal effects of TCDD on hepatic aqueous and lipid metabolite extracts from immature ovariectomized C57BL/6 mice and Sprague-Dawley rats using gas chromatography-mass spectrometry and nuclear magnetic resonance-based metabolomic approaches and integrates published gene expression data to identify species-specific pathways affected by treatment. TCDD elicited metabolite and gene expression changes associated with lipid metabolism and transport, choline metabolism, bile acid metabolism, glycolysis, and glycerophospholipid metabolism.

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