How the artificial intelligence tool iSuc-PseOpt is working for predicting lysine succinylation sites in proteins | Author : Kuo-Chen Chou | Abstract | Full Text | Abstract :In 2016 a very powerful AI (artificial intelligence) tool has been established for predicting lysine succinylation sites in proteins, one of the most important post modifications in proteins. |
| Spatiotemporal Thermal Contours mapping of ex-vivo Bovine Liver Radiofrequency Thermal Ablation utilizing Hyperspectral Image and its Associated K-Mean Clustering Algorithm | Author : Mohamed Hisham Aref, Ibrahim H. Aboughaleb, Mohamed Rabie, Yasser H. El-Sharkawy | Abstract | Full Text | Abstract :Significance: Hepatocellular carcinoma (HCC) is considered as worldwide health problem with a poor diagnosis due to limited detection techniques. Thermal ablation is the dominant modality to treat liver tumors for discriminating patients who are not allowed to have surgical intervention. Knowing that, observing or foreseeing the size of the subsequent tissue putrefaction during the Thermal Ablation techniques is a difficult undertaking.
Aim: To examine the impacts of ablation zone volume following Radiofrequency ablation (RFA) of an ex-vivo bovine liver to correlate the impacts of thermal ablation with target organ perfusion; by exploiting the unique properties of Hyperspectral Imaging (HSI).where, Vessels may source cooling in the adjacent tumor target (heat-sink-effect) with risk of cancer recurrence and the infiltration profundity estimations consider the lessening of the tissue.
Materials and Methods: Radiofrequency ablation was perfused on ex-vivo bovine livers at peripheral and central-vessel-adjacent locations, and monitored by HSI with a spectral range from 400 to 1000 nm. The system contains k-means clustering (K=8) algorithms combining spectral and spatial information. Labeled spectral signatures datasets were used as training data. Statistical analysis (10 samples) was computed to calculate the highest variance between six spectral images for determining the optimum wavelength for discrimination between the affected regions after thermal ablation (normal, thermal, and ablated liver tissue regions).
Results: The change of the optical properties of ex-vivo liver tissues provides different responses to light transmission, scattering, absorption and particularly the reflection over the spectrum range. The spectral reflectance signatures were measured and evaluated using designed K-mean clustering algorithm after image reconstructed. Trials showed that spectral region 650~650 nm was proposed as optimum spectral range. Where, these results successfully distinguishes the Surface Thermal ablation region (x,y-axis),as well as the Thermal penetration Depth (z-axis) for Tissue characterization and Contour mapping for the unwanted thermal damage.
Conclusions: Hyperspectral imaging is a powerful tool in real-time monitoring the thermal ablation and more accurate compared to the conventional imaging modality. |
| How the artificial intelligence tool iSuc-PseOpt is working for predicting lysine succinylation sites in proteins | Author : Kuo-Chen Chou | Abstract | Full Text | Abstract :n 2016 a very powerful AI (artificial intelligence) tool has been established for predicting lysine succinylation sites in proteins, one of the most important post modifications in proteins [1]. |
| Nosocomial Infections at Three Regional Tertiary Hospitals in Trinidad and Tobago | Author : Camille Elliott, A Justiz-Vaillant | Abstract | Full Text | Abstract :Objective: The main objectives of this research were to conduct and provide accurate and original findings related to the epidemiological study of nosocomial infections at three regional tertiary hospitals in Trinidad and Tobago. Specifically, the researcher determined; the frequency of nosocomial infections (NI), the frequency of multiple drug resistance among bacterial organisms associated with NI, infection control measures practiced at the research hospitals and the cost of such NI in terms of morbidity and mortality
Synopsis: This study estimated the rate of nosocomial infections (NI) among patients at three major regional hospitals in Trinidad and Tobago and evaluated the frequency of pathogens associated with nosocomial infections. Approximately 450 of 126, 668 patients had nosocomial infections and the most frequent type of nosocomial pathogens were: Staphylococcus sp. (22.5%), Pseudomonas aeruginosa sp.
(12.7%), Acinetobacter (11.8%) and Klebsiella sp. (11.6%).
Methods: A one-year prospective cross-sectional study was carried out. The nosocomial pathogens were retrieved from the microbiology laboratory. Antimicrobial susceptibility test by the disk diffusion method were done on all bacterial isolates. Data was analysed using SPSS version 20.0.
Results: This research revealed that 450 inpatients suffered nosocomial infections, with thirty (30) mortalities during the twelve (12) months that the study lasted (June 2013 to May 2014) at three regional hospitals of Trinidad and Tobago. The incidence of nosocomial infections was 5.8% and the nosocomial infection rate was 3.6 per 1000 (450/126,668). The highest rate (30.1%) was observed in the Intensive Care Unit (82/272 admissions). The most frequent type of nosocomial infection was Skin and Soft
Tissue Infections 168 (37.3%). Staphylococcus sp. (22.5%), Pseudomonas aeruginosa sp. (12.7%), Acinetobacter (11.8%) and Klebsiella sp. (11.6%) were the most frequently occurring nosocomial pathogens.
Conclusion: Consistency in performing good hygiene practices is vital for reducing the high nosocomial rate found at the research sites. Prediction of these infections is very important as a part of clinical surveillance programs to take preventive measures in advance. The antimicrobial susceptibility pattern rate (ASPR) showed that only 8.3 % (5/60) of the isolates were antibiotic-susceptible strains. |
| Erdheim-Chester Disease: Case Report with Aggressive Multiple Organ Manifestations | Author : Luís Teles, Bernardo Macedo, António Marinho | Abstract | Full Text | Abstract :Erdheim-Chester disease (ECD) is a rare non-Langerhans cell, lipid-laden histiocytosis with specific histological and radiological findings. The diagnosis sometimes is established lately in the course of the disease.
We present a case of a 64-year-old female with elevated inflammatory markers for one year and symptoms related with her comorbidities, particularly bone pain and short of breath. Past medical history includes a stage III chronic kidney disease, central diabetes diagnosed when she was 38 years old, Paget Disease, metabolic syndrome and ischemic cardiopathy. Computed tomography in the near past showed a tissue densification in the thoracic vertebral column and kidneys with hairy aspect. X-ray of the arms, legs, skullcap, and demonstrated sclerotic changes. F-fluorodeoxyglucose positron emission tomography showed uptake in the skull, mediastinum, abdomen and long bones from arms and legs. Biopsy of the hairy kidney was consent after 4 years of an unknown disease in progression. Histological findings of the biopsy reported a diffuse infiltration by foamy histiocytes. On immunohistochemical staining, the histiocytes were positive for CD68 and negative for CD1 and S100. Mutation of BRAF V600E was present and ECD was established. Tocilizumab was initiated off label due to psychiatric contra indication for interferon use and no clinical conditions for BRAF inhibitors and symptoms started being controlled.
The diagnosis of ECD is usually challenging due to the rarity of the disease and clinical overlapping with many other conditions. The rarity and variable presentation of this disease usually leads to delayed diagnosis and to high morbidity and mortality rates from associated complications. |
| Bats: One of the Key Animals for Humanity; A Case Study for COVID 19 | Author : Cemil Koyunoglu | Abstract | Full Text | Abstract :Since the protection of populations of bats, which is one of the most important creatures that provide pollination among flowers in our world, negatively affects flower pollination, the insufficiency of biocapacity in the world, that is, the decrease of the amount of conversion of carbon energy to carbonhydrate, which is the human food source of human energy, reaching the world in 2018 (1st August, according to earthovershootday.org), and the immune system, which decreases in human nutrition, which protects the balance of natüre. It is inevitable that people who die due to food shortages every year in the world as a result of an epidemic, as a result of a living creature named COVID-19 chosen to live in order to preserve the species population required for this purpose. What is certain here is that the use of the bat population for food is now a serious threat to the human species.
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