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  • Medicine
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  • 1
    Language: English
    In: PLoS One, San Francisco: Public Library of Science
    Description: Article discussing the bacterial composition of subgingival plaque among diabetic and non-diabetic subjects to determine the effect that diabetes mellitus has on dental health.
    Keywords: Periodontiitis ; Bacteria ; Diabetes ; Pyrosequencing
    ISSN: 19326203
    E-ISSN: 19326203
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  • 2
    Language: English
    In: PLoS ONE, 2012, Vol.7(5), p.e36298
    Description: Lactobacillus- dominated vaginal microbiotas are associated with reproductive health and STI resistance in women, whereas altered microbiotas are associated with bacterial vaginosis (BV), STI risk and poor reproductive outcomes. Putative vaginal taxa have been observed in male first-catch urine, urethral swab and coronal sulcus (CS) specimens but the significance of these observations is unclear. We used 16 S rRNA sequencing to characterize the microbiota of the CS and urine collected from 18 adolescent men over three consecutive months. CS microbiotas of most participants were more stable than their urine microbiotas and the composition of CS microbiotas were strongly influenced by circumcision. BV-associated taxa, including Atopobium , Megasphaera , Mobiluncus , Prevotella and Gemella , were detected in CS specimens from sexually experienced and inexperienced participants. In contrast, urine primarily contained taxa that were not abundant in CS specimens. Lactobacilllus and Streptococcus were major urine taxa but their abundance was inversely correlated. In contrast, Sneathia , Mycoplasma and Ureaplasma were only found in urine from sexually active participants. Thus, the CS and urine support stable and distinct bacterial communities. Finally, our results suggest that the penis and the urethra can be colonized by a variety of BV-associated taxa and that some of these colonizations result from partnered sexual activity.
    Keywords: Research Article ; Biology ; Medicine ; Public Health And Epidemiology ; Infectious Diseases ; Microbiology ; Urology
    E-ISSN: 1932-6203
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  • 3
    Language: English
    In: Journal of Clinical Microbiology, pp. 1376-1383
    Description: Article on evidence of uncultivated bacteria in the adult female bladder.
    Keywords: Uropathogens ; Clinical Cultivation ; Uncultivated Bacteria ; Urinary Tract Conditions
    ISSN: 1098660X
    E-ISSN: 1098660X
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  • 4
    Language: English
    In: Annals of the American Thoracic Society, 01/2014, Vol.11(Supplement 1), pp.S72-S73
    Description: The ability to determine the respiratory microbiome from bronchoalveolar lavage (BAL) is controversial due to oral contamination during bronchoscopy. To determine if processing BAL improved the ability to distinguish lung from oral wash microbiomes. Oral wash samples and bronchoscopy...
    Keywords: Bronchus ; Alveoli ; Plant Diseases;
    ISSN: 2325-6621
    ISSN: 23296933
    Source: CrossRef
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  • 5
    Language: English
    In: The American Journal of Pathology
    Description: With the rapid development of image scanning techniques and visualization software, whole slide imaging (WSI) is becoming a routine diagnostic method. Accelerating clinical diagnosis from pathology images and automating image analysis efficiently and accurately remain significant challenges. Recently, deep learning algorithms have shown great promise in pathology image analysis, such as in tumor region identification, metastasis detection, and patient prognosis. Many machine learning algorithms, including convolutional neural networks, have been proposed to automatically segment pathology images. Among these algorithms, segmentation deep learning algorithms such as fully convolutional networks stand out for their accuracy, computational efficiency, and generalizability. Thus, deep learning–based pathology image segmentation has become an important tool in WSI analysis. In this review, the pathology image segmentation process using deep learning algorithms is described in detail. The goals are to provide quick guidance for implementing deep learning into pathology image analysis and to provide some potential ways of further improving segmentation performance. Although there have been previous reviews on using machine learning methods in digital pathology image analysis, this is the first in-depth review of the applications of deep learning algorithms for segmentation in WSI analysis.
    Keywords: Medicine
    ISSN: 0002-9440
    E-ISSN: 1525-2191
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  • 6
    Language: English
    In: Cancers, 01 October 2019, Vol.11(11), p.1673
    Description: Objective: Accurate diagnosis and prognosis are essential in lung cancer treatment selection and planning. With the rapid advance of medical imaging technology, whole slide imaging (WSI) in pathology is becoming a routine clinical procedure. An interplay of needs and challenges exists for computer-aided...
    Keywords: Lung Cancer ; Deep Learning ; Pathology Image ; Computer-Aided Diagnosis ; Digital Pathology ; Whole-Slide Imaging ; Medicine
    E-ISSN: 2072-6694
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  • 7
    In: Cancer Medicine, July 2019, Vol.8(7), pp.3349-3358
    Description: Extranodal natural killer/T‐cell lymphoma (ENKL), nasal‐type is a rare but highly aggressive disease with poor prognosis. Optimal treatment strategies for newly diagnosed localized ENKL have not been fully defined. Here we retrospectively analyzed 72 patients with newly diagnosed stage IE/IIE ENKL treated with gemcitabine, dexamethasone, and cisplatin (GDP) regimen chemotherapy with sandwiched radiotherapy in our department between May 2012 and September 2014. After 2 cycles of GDP induction chemotherapy, the complete response rate (CRR) and overall response rate (ORR) were 30.6% (22/72) and 91.7% (66/72). After whole treatment completion, the CRR and ORR were 81.9% (59/72) and 91.7% (66/72), respectively. With a median follow‐up of 57.8 months (Interquartile Range 54.0‐64.5 months), the 5‐year progression‐free survival rate was 70.9% (95% CI, 60.1% to 81.7%), and the 5‐year overall survival rate was 72.0% (95% CI, 61.6% to 82.4%), respectively. Patients with CRR after treatment had better prognosis than their counterparts. The major adverse events were myelosuppression, liver dysfunction, gemcitabine‐related skin rash, and digestive tract toxicities. Grade 3 to 4 neutropenia and thrombocytopenia were 18.0% (13/72) and 15.3% (11/72), respectively. No treatment related deaths were observed. It is concluded that the GDP regimen with sandwiched radiotherapy was an effective and well‐tolerated treatment for newly diagnosed stage IE/IIE ENKL, nasal‐type. Here we retrospectively analyzed 72 patients with newly diagnosed stage IE/IIE ENKL treated with gemcitabine, dexamethasone, and cisplatin (GDP) regimen chemotherapy with sandwiched radiotherapy in our department. This study provides evidence to confirm sandwich chemoradiation with GDP regimen as highly effective treatment with markedly less toxicities in early stage ENKL.
    Keywords: Chemotherapy ; Extranodal Natural Killer/T Cell Lymphoma ; Nasal‐Type ; Gdp Regimen ; Gemcitabine ; Radiotherapy
    ISSN: 2045-7634
    E-ISSN: 2045-7634
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