thermogram Breast Cancer Detection : a comparative study of two machine learning techniques

Breast cancer is considered one of the major threats for women’s health all over the world. The World Health Organization (WHO) has reported that 1 in every 12 women could be subject to a breast abnormality during her lifetime. To increase survival rates, it is found that it is very effective to early detect breast cancer. Mammography-based breast cancer screening is the leading technology to achieve this aim. However, it still can not deal with patients with dense breast nor with tumor size less than 2 mm. Thermography-based breast cancer approach can address these problems. In this paper, a thermogram-based breast cancer detection approach is proposed. This approach consists of four phases: (1) Image Pre-processing using homomorphic filtering, top-hat transform and adaptive histogram equalization, (2) ROI Segmentation using binary masking and K-mean clustering, (3) feature extraction using signature boundary, and (4) classification in which two classifiers, Extreme Learning Machine (ELM) and Multilayer Perceptron (MLP), were used and compared. The proposed approach is evaluated using the public dataset, DMR-IR. Various experiment scenarios (e.g., integration between geometrical feature extraction, and textural features extraction) were designed and evaluated using different measurements (i.e., accuracy, sensitivity, and specificity). The results showed that ELM-based results were better than MLP-based ones with more than 19%

Implicit authentication method for smartphone users based on rank aggregation and random forest

Currently, the smartphone devices have become an essential part of our daily activities. Smartphone’ users run various essential applications (such as banking and e-health Apps), which contains very confidential information (e.g., credit card number and its PIN). Typically, the smartphone’s user authentication is achieved using mechanisms (password or security pattern) to verify the user identity. Although these mechanisms are cheap, simple, and quick enough for frequent logins, they are vulnerable to attacks such as shoulder surfing or smudge attack. This problem could be addressed by authenticating the users using their behaviour (i.e., touch behaviour) while using their smartphones. Such behaviours include finger’s pressure, size, and pressure time while tapping keys. Selecting features (from these behaviours) could play an important role in the authentication process’s performance. This paper aims to propose an efficient authentication method providing an implicit authentication for smartphone users while not imposing an additional cost of special hardware and addressing the limited smartphone capabilities. We first investigated feature selection techniques from the filter and wrapper approaches and then used the best one to propose our implicit authentication method. The random forest classifier is used to evaluate these techniques. It is also used to achieve the classification task in our authentication method. Using a public dataset, the experimental results showed that the filter-based technique (i.e., rank aggregation) is the best feature selection to build an implicit authentication method for the smartphone environment. It showed accuracy results around 97.80% using only 25 features out of 53 features (i.e., require less mobile resources (memory and processing power) to authenticate users. At the same time, the results showed that our method has less error rate: 2.03 FAR, 0.04 FRR, and 1.04 ERR, comparing to the related work. These promising results would be used to develop a mobile application that allows implicit authentication of legitimate owners while avoiding the traditional authentication problems and using fewer smartphone resources

Appropriateness of proton pump inhibitors use in noncritically ill hospitalized children in a tertiary hospital in Saudi Arabia

Background: Studies assessing the appropriate use of proton pump inhibitors (PPIs) for hospitalized noncritically ill pediatric patients are lacking. Therefore, this study aimed to assess the suitability of PPI prescriptions in noncritically ill pediatric patients. Methods: This cross sectional retrospective study was conducted at a maternity hospital in Qassim, Saudi Arabia from November 2020 to January 2021. All noncritically ill hospitalized children aged 14 years and below who received PPIs were included. The endpoints included the number and percentage of patients who appropriately received PPIs in general and in each age category. The collected data were analyzed using Microsoft Excel (version 2208, Microsoft Corp., Redmond, WA, USA). Results: In total, 332 medical records were screened, of which 246 were included. Of all patients, 49.2% were children and 50.8% were infants, with the average age at admission being 5.39 ± 5.4 years years. More than half of the patients were female, and the average weight of patients was 19.8 kg. Omeprazole was appropriately used in 95 (38.5%) patients. Based on age groups, omeprazole was appropriately used in 66.3% of children and 38.4% of infants. Conclusion: The use of omeprazole in noncritically ill pediatrics was only deemed appropriate in 38.6% of the study population. This result indicates that this medication was overused in the institution. Additional research is required to confirm this on a nationwide scale

Enhanced efficacy of 5-fluorouracil in combination with a dual histone deacetylase and phosphatidylinositide 3-kinase inhibitor (CUDC-907) in colorectal cancer cells

Background/Aims: 5-Fluorouracil (5-FU) is widely used in the treatment of patients with colorectal cancer (CRC). However, the efficacy of 5-FU as a single agent is limited, with multiple undesired side effects. Therefore, the aim of the current study was to assess the efficacy of CUDC-907 (a dual inhibitor of histone deacetylase and phosphatidylinositide 3-kinase) in combination with 5-FU against CRC cells. Materials and Methods: Cell viability was determined using AlamarBlue and colony formation assays. Acridine orange/ethidium bromide staining and flow cytometry were used to measure apoptotic and necrotic events, as well as cell cycle progression. Immunoblotting was used to assess acetylation of histone H3 and phosphorylation of AKT. Results: Our data revealed enhanced toxicity of CUDC-907 against HCT116, RKO, COLO-205, and HT-29 CRC cells when combined with 5-FU. Similarly, the colony formation capability of HCT116 cells was suppressed by the combination treatment. Cells treated with CUDC-907 and 5-FU underwent apoptosis and necrosis, and exhibited increased polyploidy. Furthermore, CRC cells treated with CUDC-907 exhibited a higher degree of histone H3 lysine 9 acetylation (H3K9ac) and reduced AKT phosphorylation (Ser473).Conclusion: Our data revealed, for the first time, the enhanced inhibitory effect of CUDC-907 against CRC cells when combined with 5-FU, supporting the application of this combination as a potential therapeutic strategy in CRC treatment

Lisinopril has a cardio-protective effect on experimental acute autoimmune myocarditis in rats

The present study investigated the effect of lisinopril on experimental autoimmune myocarditis (EAM) in rats, a histologically similar model to human acute myocarditis. Animals and methods. Twenty four, six week-old male Wistar rats were randomly allocated into 4 groups of 6 rats each. Group I received no treatment. Group II received lisinopril at a dose of 15 mg/kg/day suspended in 1 ml of 2% gum acacia daily, from day 1 to day 21. To induce myocarditis, animals of groups III and IV were injected by 1 mg of porcine cardiac myosin on days 1 and 8. In addition, animals of group IV received lisinopril in gum acacia daily, from day 1 to day 21. All rats were sacrificed on day 21. Serum levels of creatine phosphokinase, troponin-T, tumor necrosis factor-α and interleukin-6 were estimated. Hearts were processed for histopathological, as well as immunohistochemical study for thioredoxin (TRX) immunoreactivity. Results. The wall of hearts from rats of myocarditislisinopril group showed mild focal myocarditis and a significant decrease of the mean percentage of pyknotic nuclei in cardiomyocytes, coincident with a significant decrease in serum biomarkers levels and TRX immunoreactivity, compared to myocarditis group. Conclusion. The present study suggested a cardioprotective effect of lisinopril on acute EAM in rats, probably through a mechanism related to its suppressive effect on angiotensin II formation

Upfront Alternative Donor Transplant Versus Immunosuppressive Therapy in Patients with Severe Aplastic Anemia Who Lack FullyHLA Matched Related Donor: Systematic Review and Meta- Analysis of Retrospective Studies. on Behalf of the Severe Aplastic Anemia Working Party of European Group for Blood and Marrow Transplantation (SAAWP of EBMT)

Idiopathic aplastic anemia is a rare and life threatening disorder characterized by immune mediated hematopoietic stem cells dysfunction. The standard treatment strategy of severe aplastic anemia (SAA) has been hematopoietic stem cell transplant (HSCT) for children and adults younger than the age of 40 if an HLA matched sibling donor (MSD) is available. Immunosuppressive therapy (IST) is the mainstay of treatment for older patients or when MSD is not available. The response rate to IST with the use of horse anti-thymocyte globulin (ATG) is around 70%. Despite that, many patients s