Comparative Study of Artificial Neural Network based Classification for Liver Patient

The extensive accessibility of new computational methods and tools for data analysis and predictive modeling requires medical informatics researchers and practitioners to steadily select the most appropriate strategy to cope with clinical prediction problems. Data mining offers methodological and technical solutions to deal with the analysis of medical data and construction of prediction models. Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. Therefore, in this study, Liver patient data is considered and evaluated by univariate analysis and a feature selection method for predicator attributes determination. Further comparative study of artificial neural network based predictive models such as BP, RBF, SOM, SVM are provided. Keywords: Medical Informatics, Classification, Liver Data, Artificial Neural Networ

Defending Against Modern Threats in Web Applications

Web applications have become critical part of business. They hold a treasure trove of data behind their front ends. Now-adays attackers are well aware of the valuable information accessible through web applications, so website security has become a major problem today. The number of vulnerabilities have multiplied in recent years. Vulnerabilities like cross site scripting(XSS),sql injection and cross site request forgery(CSRF) has emerged as a major threat to web applications. So, in order to protect web applications from these modern threats, at first vulnerability assessment should be carried out from time to time and also some preventive techniques should be followed to prevent these threats. The motivation of this paper is to promote the use of automated tools for vulnerability assessment and to follow preventive techniques in order to make web applications secure

Excretion of SARS-CoV-2 in breast milk: a single-centre observational study

Background Breast feeding by SARS-CoV-2-infected mothers has been a concern because of the possibility of excretion of virus in breast milk.Objective To detect SARS-CoV-2 in expressed breast milk (EBM) of mothers infected with SARS-CoV-2 and clinical outcome of neonates delivered and breast fed by them.Design A single-centre, prospective observational study involving 50 SARS-CoV-2-infected mothers and their 51 neonates.Setting A tertiary care hospital in Eastern India.Participants SARS-CoV-2-infected mothers and neonates delivered by them.Main outcome measures We investigated the presence of SARS-CoV-2 in the breast milk of mothers, who tested positive for this virus in their nasopharyngeal swab (NPS). Clinical outcome was assessed in neonates breast fed by these mothers after 1 month of the postnatal period.Results 50 SARS-CoV-2-positive expectant mothers were enrolled for the study. One out of 51 neonates, who delivered through lower segment caesarean section at term gestation and tested SARS-CoV-2 negative, died due to severe birth asphyxia. One sample of EBM was collected from each of the 49 mothers within 4 days of delivery. All EBM samples tested negative for SARS-CoV-2 through real-time reverse transcriptase-PCR (RT-PCR). All the newborns were screened twice for presence of SARS-CoV-2 RNA in their NPS, by RT-PCR. 2 of 51 neonates had COVID-19 infection after 24 hours of life. Caregivers of 37 of 50 alive neonates responded to follow-up via telephone. Except for minor feed intolerance in one (1 of 37) neonate, all neonates were reported well after 1 month of their age.Conclusion All the samples of breast milk were negative for SARS-CoV-2. Most of the neonates remained asymptomatic on breast feeding, whose mothers had SARS-CoV-2 infection before delivery

Epidemiological and Clinical factors associated with mortality of confirmed Covid-19 cases admitted and treated in a tertiary care hospital of Patna, Bihar

Background: A significant proportion of the individuals having the illness of moderate to severe nature due to COVID-19 infection require immediate critical care. High incidence of mortality among elderly population or those with comorbid conditions were reported. Objectives: The study was carried out with objectives to assess the epidemiological and clinical factors associated with mortality among the COVID-19 cases admitted and treated in AIIMS, Patna. Methods: This was a hospital‑based cross‑sectional analytical study of epidemiological and clinical features of COVID‑19‑positive patients admitted and treated during the outbreak from March 20, to August 31, 2020. Results: The median age of COVID-19 cases was 51.5 years (IQR : 37-62 years) which was significantly higher (p-value = 0.001) as compared to females. Male-female ratio of cases was 2.88:1. Out of 1696 cases, the case-fatality rate was 309 (18.22%). The mean age of cases who died due to COVID-19 was significantly higher (p-value=0.001) as compared to those who survived. The odds of mortality was significantly higher in males as compared to females (Adjusted OR = 1.534, 95% CI = 1.10 – 2.13, p=0.011). The odds of mortality showed a significant increasing trend with increasing age (Mantel-Hanszel p-value for trend = 0.015). The covariates like gender, age groups 45-59, 60-74 and 75>=, breathlessness and CKD were found to be significantly associated with mortality after controlling for the confounders. Conclusions: Factors like gender, higher age, lower oxygen saturation causing breathlessness and chronic kidney diseases could be attributed to high risk of mortality in COVID-19 patients

Mitochondrial-mediated apoptosis as a therapeutic target for FNC (2′-deoxy-2′-b-fluoro-4′-azidocytidine)-induced inhibition of Dalton’s lymphoma growth and proliferation

Abstract Purpose T-cell lymphomas, refer to a diverse set of lymphomas that originate from T-cells, a type of white blood cell, with limited treatment options. This investigation aimed to assess the efficacy and mechanism of a novel fluorinated nucleoside analogue (FNA), 2′-deoxy-2′-β-fluoro-4′-azidocytidine (FNC), against T-cell lymphoma using Dalton’s lymphoma (DL)-bearing mice as a model. Methods Balb/c mice transplanted with the DL tumor model received FNC treatment to study therapeutic efficacy against T-cell lymphoma. Behavioral monitoring, physiological measurements, and various analyses were conducted to evaluate treatment effects for mechanistic investigations. Results The results of study indicated that FNC prevented DL-altered behavior parameters, weight gain and alteration in organ structure, hematological parameters, and liver enzyme levels. Moreover, FNC treatment restored organ structures, attenuated angiogenesis, reduced DL cell viability and proliferation through apoptosis. The mechanism investigation revealed FNC diminished MMP levels, induced apoptosis through ROS induction, and activated mitochondrial-mediated pathways leading to increase in mean survival time of DL mice. These findings suggest that FNC has potential therapeutic effects in mitigating DL-induced adverse effects. Conclusion FNC represents an efficient and targeted treatment strategy against T-cell lymphoma. FNC’s proficient ability to induce apoptosis through ROS generation and MMP reduction makes it a promising candidate for developing newer and more effective anticancer therapies. Continued research could unveil FNC’s potential role in designing a better therapeutic approach against NHL

Practical guideline for setting up a comprehensive pediatric care unit for critical care delivery at district hospitals and medical colleges under ECRP-II

Pediatric critical care is highly sophisticated and precise and is possible only in specialized areas such as pediatric intensive care units (PICUs) or high dependency units equipped with round-the-clock monitoring facilities, skilled and trained staff, and treatment equipment. The need for critical care beds was sharply felt during the COVID-19 pandemic and the Government of India launched the COVID-19 emergency response and health system preparedness package: phase II (ECRP-II) with a hub and spoke model to strengthen pediatric critical care delivery at district level under the skilled supervision of state-level PICUs of the identified center of excellence (CoE). The CoEs will have well-equipped PICUs providing tele-ICU service, mentoring, and technical hand-holding to the district pediatric unit. This model was envisioned to be extended to critically ill children with nonCOVID illnesses after the pandemic abates. For achieving the proposed objectives under the ECRP-II scheme, this guideline aims to provide a practical framework for setting up comprehensive pediatric care units at district hospitals and medical colleges (spoke) well connected with a CoE (hub) for teleconsultation, knowledge exchange, referral, and back referral between hub and spokes