Study of bone marrow: dyserythropoiesis for etiological evaluation of anemia

Background: Bone Marrow Aspiration plays a major role in the diagnosis of various hematolgical disorders which are very frequent in various age groups. The aim of this study was to analyze the causes of haematological disorders, and to interpret the bone marrow aspiration findings with various dyserythropoietic changes in it.Methods: This was a study carried out in the department of Pathology of Shri M P Shah Govt. Medical college over a period of two years from June 2008 to June 2010. Bone marrow examination of 100 cases of suspected haematological disorders was carried out. All details of the patients were the recorded in the department of pathology.Results: Out of 100 cases of bone marrow aspiration, erythroid hyperplasia and megaloblastic changes were commonest findings and Megaloblastic anemia was most common diagnosis given on bone marrow examination. Other dyserythropoietic changes were erythroidhypoplasia, micronormoblasts, dimorphic erythropoiesis, megaloblastoid changes and other like – cytoplasmic bleb, multinucleation,nuclear bridging.Conclusions: The sincere blood film examination and keen morphological evaluation of erythroid series for dyserythropiesis   and  leukopoesis and  megakaryopiesis in bone marrow aspiration smear - supported with   other investigation can navigate to etiological factors of anaemia and other haematological disorders.

Machine Learning at Microsoft with ML .NET

Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate trained models to encode data-based decisions that would be impossible for developers to author. This presents a significant engineering challenge, since currently data science and modeling are largely decoupled from standard software development processes. This separation makes incorporating machine learning capabilities inside applications unnecessarily costly and difficult, and furthermore discourage developers from embracing ML in first place. In this paper we present ML .NET, a framework developed at Microsoft over the last decade in response to the challenge of making it easy to ship machine learning models in large software applications. We present its architecture, and illuminate the application demands that shaped it. Specifically, we introduce DataView, the core data abstraction of ML .NET which allows it to capture full predictive pipelines efficiently and consistently across training and inference lifecycles. We close the paper with a surprisingly favorable performance study of ML .NET compared to more recent entrants, and a discussion of some lessons learned

A computational model to understand mouse iron physiology and disease.

It is well known that iron is an essential element for life but is toxic when in excess or in certain forms. Accordingly there are many diseases that result directly from either lack or excess of iron. Yet many molecular and physiological aspects of iron regulation have only been discovered recently and others are still elusive. There is still no good quantitative and dynamic description of iron absorption, distribution, storage and mobilization that agrees with the wide array of phenotypes presented in several iron-related diseases. The present work addresses this issue by developing a mathematical model of iron distribution in mice calibrated with ferrokinetic data and subsequently validated against data from mouse models of iron disorders, such as hemochromatosis, β-thalassemia, atransferrinemia and anemia of inflammation. To adequately fit the ferrokinetic data required inclusion of the following mechanisms: a) transferrin-mediated iron delivery to tissues, b) induction of hepcidin by transferrin-bound iron, c) ferroportin-dependent iron export regulated by hepcidin, d) erythropoietin regulation of erythropoiesis, and e) liver uptake of NTBI. The utility of the model to simulate disease interventions was demonstrated by using it to investigate the outcome of different schedules of transferrin treatment in β-thalassemia

Anomalous Origin of the Left Coronary Artery from the Pulmonary Artery in Adulthood: Challenges and Outcomes

Anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) is an extremely rare, potentially fatal, congenital anomaly with a high mortality rate in the first year of life. It occurs rarely in ad ulthood and may a ppear with m alignant v entricular a rrhythmia or s ud d e n d eath. W e report a c ase of a 49-year-old woman with ALCAPA who presented with dyspnea on exertion. Management was coronary artery bypass grafting to the left anterior descending artery and obtuse marginal arteries, closure of the left main coronary artery ostium, and reestablishment of the dual coronary artery system

Predictive accuracy and diagnostic significance of NLR (Neutrophil Lymphocyte Ratio) and D-dimer in COVID-19 patients

Background: COVID-19 is a highly infectious disease that wreaks havoc on the world's healthcare systems. To recognize severe patients, simple and quick risk classification procedures are required. D-Dimer and Neutrophil-Lymphocyte Count Ratio (NLR) as a prognostic utility has shown promising results in patients with COVID-19.Objectives: To evaluate the utility of multi-test using D-Dimer and NLR in patients with COVID-19.Methods: Two hundred and twenty-seven confirmed cases with COVID-19 infection treated at the study center were studied prospectively. Age, sex, total leukocyte count, neutrophil, lymphocyte, and D-dimer were estimated. NLR was calculated using the values of neutrophils and lymphocytes. Correlation between NLR, D-Dimer was obtained using the Pearson correlation coefficient. Results: COVID-19 was more prevalent in the age group of 51-60 years [54 (23.68%)] followed by 61-70 years [53 (23.25%)] and 41-50 years [51 (22.37%)]. Mean age of study cohort was 53.34±14.68 years. COVID-19 was more prevalent in males [156 (68.42%)]. A positive correlation was obtained between age (r=0.319, P<0.001), total count ((r=0.621, P<0.001), neutrophil (r=0.801, P<0.001) and D-Dimer (r=0.426, P<0.001) with NLR whereas negative correlation was observed with lymphocyte (r=-0.805, P<0.001) for NLR. Conclusion: Multi-tests of D-Dimer and NLR were more beneficial than single tests in treating patients with COVID-19 infection

Additional file 2: of Modeling the dynamics of mouse iron body distribution: hepcidin is necessary but not sufficient

ZIP archive with model files in SBML and COPASI formats, and data files in TSV format. (ZIP 103 kb

Correlation of D - Dimer Level with Demographic Detail of Covid 19 Patients at Tertiary Care Center - A Retrospective Study

Introduction: Since December 2019, Patients suffering from coronavirus disease-19 (COVID-19) is on the rise. According to previous research, D-dimer levels are higher in severe instances of community-acquired pneumonia (CAP) and chronic obstructive pulmonary disease (COPD). They may be utilized as a predictive biomarker. Objective: To evaluate the level of d-dimer among covid disease patients and correlate with age and gender. Methods: Four hundred and seventeen covid-19 positive patients were studied at GMERS Medical College, Vadangar, from October-2020 to December-2020. A citrate sample was collected of all patients who tested positive for the covid-19 disease. Citrated plasma was separated from each sample after proper centrifugation. Hemolysed samples and samples with insufficient quantity were rejected. In such cases, a new sample of the same patient was collected. D dimer test was then carried out from separated citrate plasma. Cut off value for d-dimer is 0.5 [Positive: >0.5 Fibrinogen equivalent units (FEU)/ml]. Result: From 417 cases: 280 males and 137 Females affected with peak occurrence in their sixth and seventh decade. A similar distribution pattern was found with a High D-dimer level also. The majority of the patients with elevated d-dimer levels had moderate to severe symptoms and required hospitalization. Conclusion: A significant correlation is found between elderly age with elevated d-dimer level, and it was found to be more common in female patients. So, d-dimer is one of the most important tests to be carried out in a hospitalized novel corona disease patient for preventing thrombotic events with timely interventions guided by d-dimer level

Synthesis and in vitro anti-HIV activity of N-1,3-benzo[d]thiazol-2-yl-2-(2-oxo-2H-chromen-4-yl)acetamide derivatives using MTT method

A series of novel N-1,3-benzo[d]thiazol-2-yl-2-(2-oxo-2H-chromen-4-yl)acetamide derivatives has been synthesized. All the newly synthesized compounds were evaluated for their anti-HIV activity using MTT method. Most of these compounds showed moderate to potent activity against wild-type HIV-1 with an EC50 ranging from >7 EC50 [μg/ml] to <100 EC50 [μg/ml]. Among them, N-1,3-benzo[d]thiazol-2-yl-2-(2-oxo-2H-chromen-4-yl)acetamide 6v was identified as the most promising compound (EC50 = <7 μg/ml). Among all the compounds, three compounds 6m, 6v and 6u have been exhibits potent anti-HIV activity against MT-4 cells