Classification of Melanocytic Nevus Images using BigTransfer (BiT)

Skin cancer is a fatal disease that takes a heavy toll over human lives annually. The colored skin images show a significant degree of resemblance between different skin lesions such as melanoma and nevus, making identification and diagnosis more challenging. Melanocytic nevi may mature to cause fatal melanoma. Therefore, the current management protocol involves the removal of those nevi that appear intimidating. However, this necessitates resilient classification paradigms for classifying benign and malignant melanocytic nevi. Early diagnosis necessitates a dependable automated system for melanocytic nevi classification to render diagnosis efficient, timely, and successful. An automated classification algorithm is proposed in the given research. A neural network previously-trained on a separate problem statement is leveraged in this technique for classifying melanocytic nevus images. The suggested method uses BigTransfer (BiT), a ResNet-based transfer learning approach for classifying melanocytic nevi as malignant or benign. The results obtained are compared to that of current techniques, and the new method's classification rate is proven to outperform that of existing methods.Comment: 5 pages, 3 figure

A Comparative Analysis of Transfer Learning-based Techniques for the Classification of Melanocytic Nevi

Skin cancer is a fatal manifestation of cancer. Unrepaired deoxyribo-nucleic acid (DNA) in skin cells, causes genetic defects in the skin and leads to skin cancer. To deal with lethal mortality rates coupled with skyrocketing costs of medical treatment, early diagnosis is mandatory. To tackle these challenges, researchers have developed a variety of rapid detection tools for skin cancer. Lesion-specific criteria are utilized to distinguish benign skin cancer from malignant melanoma. In this study, a comparative analysis has been performed on five Transfer Learning-based techniques that have the potential to be leveraged for the classification of melanocytic nevi. These techniques are based on deep convolutional neural networks (DCNNs) that have been pre-trained on thousands of open-source images and are used for day-to-day classification tasks in many instances.Comment: 12 pages, 5 figures, submitted to International Conference on Advances and Applications of Artificial Intelligence and Machine Learning (ICAAAIML) 2022, to be published in Springer's Lecture Notes in Electrical Engineerin

Optimal management of hereditary hemorrhagic telangiectasia

Hereditary hemorrhagic telangiectasia (HHT), also known by the eponym Osler–Weber–Rendu syndrome, is a group of related disorders inherited in an autosomal dominant fashion and characterized by the development of arteriovenous malformations (AVM) in the skin, mucous membranes, and/or internal organs such as brain, lungs, and liver. Its prevalence is currently estimated at one in 5,000 to 8,000. Most cases are due to mutations in the endoglin (HHT1) or ACVRLK1 (HHT2) genes. Telangiectasias in nasal and gastrointestinal mucosa generally present with recurrent/chronic bleeding and iron deficiency anemia. Larger AVMs occur in lungs (~40%–60% of affected individuals), liver (~40%–70%), brain (~10%), and spine (~1%). Due to the devastating and potentially fatal complications of some of these lesions (for example, strokes and brain abscesses with pulmonary AVMs), presymptomatic screening and treatment are of utmost importance. However, due to the rarity of this condition, many providers lack an appreciation for the whole gamut of its manifestations and complications, age-dependent penetrance, and marked intrafamilial variation. As a result, HHT remains frequently underdiagnosed and many families do not receive the appropriate screening and treatments. This article provides an overview of the clinical features of HHT, discusses the clinical and genetic diagnostic strategies, and presents an up-to-date review of literature and detailed considerations regarding screening for visceral AVMs, preventive modalities, and treatment options

Supervillin Is a Component of the Hair Cell\u27s Cuticular Plate and the Head Plates of Organ of Corti Supporting Cells

The organ of Corti has evolved a panoply of cells with extraordinary morphological specializations to harness, direct, and transduce mechanical energy into electrical signals. Among the cells with prominent apical specializations are hair cells and nearby supporting cells. At the apical surface of each hair cell is a mechanosensitive hair bundle of filamentous actin (F-actin)-based stereocilia, which insert rootlets into the F-actin meshwork of the underlying cuticular plate, a rigid organelle considered to hold the stereocilia in place. Little is known about the protein composition and development of the cuticular plate or the apicolateral specializations of organ of Corti supporting cells. We show that supervillin, an F-actin cross-linking protein, localizes to cuticular plates in hair cells of the mouse cochlea and vestibule and zebrafish sensory epithelia. Moreover, supervillin localizes near the apicolateral margins within the head plates of Deiters\u27 cells and outer pillar cells, and proximal to the apicolateral margins of inner phalangeal cells, adjacent to the junctions with neighboring hair cells. Overall, supervillin localization suggests this protein may shape the surface structure of the organ of Corti

Approvals and Timing of New Formulations of Novel Drugs Approved by the US Food and Drug Administration Between 1995 and 2010 and Followed Through 2021

New formulations of prescription drugs can improve convenience and tolerability for patients, but they also constitute manufacturer strategies to extend brand-name drug market exclusivity periods. We examined whether new formulations of brand-name novel drugs were associated with novel drugs’ sales and/or therapeutic value, as well as characterized first new formulations’ approval timing relative to the novel drug’s generic approval. We found that manufacturers are several times more likely to secure Food and Drug Administration approval for a new formulation for existing drugs that have reached blockbuster status. (Blockbuster drugs are the most profitable drugs with more than $1 billion in annual sales, but are not necessarily the most innovative or clinically meaningful drugs.) Manufacturers also dramatically reduced pursuing approval for new formulations once their drugs began to face generic competition. In contrast, companies did not develop new formulations for drugs that were considered the most therapeutically valuable, innovative, or clinically useful. Thus, while the modified formulations may not be innovative or clinically meaningful themselves, drug manufacturers frequently do not alter drugs that are particularly valuable and innovative to begin with. Our study shows that drugs’ revenue, as opposed to patient benefit, is the clear driver for reformulating drugs

Test Targets 3.0: A Collaborative effort exploring the use of scientific methods for color imaging and process control

Test Targets 3.0 focuses on the integration and analysis of a number of input devices, color image renderings with the use of a robust CTP system and a full-fledged web offset press … The first section is a collection of test forms … The second section is a compilation of color management practices by the class. – p. v

Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis.

Large intervening non-coding RNAs (lincRNAs) are pervasively transcribed in the genome 1-3 yet their potential involvement in human disease is not well understood We hybridized RNA derived from normal human breast epithelia, primary breast carcinomas, and distant metastases to ultra-dense HOX tiling arrays 7 Quantitative PCR showed that HOTAIR is overexpressed from hundreds to nearly two-thousand-fold in breast cancer metastases, and the HOTAIR expression level is sometimes high but heterogeneous among primary tumours We next examined the effects of manipulating HOTAIR level in several breast cancer cell lines. HOTAIR levels in cell lines are significantly lower than those seen in primary or metastatic breast tumours To quantify further metastatic potential in vivo, we performed tail vein xenografts and compared the rates of lung colonization. Vector expression in the non-metastatic cell line SK-BR3 never showed lung colonization after tail vein xenograft (0 out of 15 mice), but HOTAI

Extensive and coordinated transcription of noncoding RNAs within cell-cycle promoters

Transcription of long noncoding RNAs (lncRNAs) within gene regulatory elements can modulate gene activity in response to external stimuli, but the scope and functions of such activity are not known. Here we use an ultrahigh-density array that tiles the promoters of 56 cell-cycle genes to interrogate 108 samples representing diverse perturbations. We identify 216 transcribed regions that encode putative lncRNAs, many with RT-PCR–validated periodic expression during the cell cycle, show altered expression in human cancers and are regulated in expression by specific oncogenic stimuli, stem cell differentiation or DNA damage. DNA damage induces five lncRNAs from the CDKN1A promoter, and one such lncRNA, named PANDA, is induced in a p53-dependent manner. PANDA interacts with the transcription factor NF-YA to limit expression of pro-apoptotic genes; PANDA depletion markedly sensitized human fibroblasts to apoptosis by doxorubicin. These findings suggest potentially widespread roles for promoter lncRNAs in cell-growth control.National Institutes of Health (U.S.)National Institute of Arthritis and Musculoskeletal and Skin Diseases (U.S.) (NIAMS) (K08-AR054615))National Cancer Institute (U.S.) (NIH/(NCI) (R01-CA118750))National Cancer Institute (U.S.) (NIH/(NCI) R01-CA130795))Juvenile Diabetes Research Foundation InternationalAmerican Cancer SocietyHoward Hughes Medical Institute (Early career scientist)Stanford University (Graduate Fellowship)National Science Foundation (U.S.) (Graduate Research Fellowship)United States. Dept. of Defense (National Defense Science and Engineering Graduate Fellowship