Notes

Wedding ring artifact removal with regard to differential phase-contrast X-ray computed tomography by using a conditional generative adversarial circle.
ay be recognized and affected individuals treated early on. Haptoglobin may be used to assess the health status of the individual animal as well as an indicator of herd health in the context of animal health monitoring.
It was the objective of this study to describe and compare antimicrobial resistance in clinical and non-clinical
from different cattle populations.

For this, the minimum inhibitory concentrations (MIC) of antimicrobials against clinical and non-clinical
isolates from dairy cows, beef cattle, veal calves and other calves were analyzed. The MIC examinations were performed in the framework of a monitoring program for clinical isolates from animals in Germany (GE
-Vet) and as part of the national zoonosis monitoring between 2009 and 2019 using broth microdilution. selleck chemicals The MIC were evaluated based on the epidemiological cut off values provided by the European Centre for Antimicrobial Susceptibility Testing (EUCAST).

A total of 5127 isolates was included in the analysis. The highest resistance rates were observed in isolates from calves with diarrhea, followed by non-clinical isolates from cattle slaughtered at an age under 1 year. The lowest resistance rates were encountered in
from bulk tank milk of df wastemilk from treated cows to calves, exposing the latter to drug residues and resistant bacteria from the milk. The use of these substances has to be reduced to a minimum in order to avoid further spread of this kind of resistance in the cattle population.
 There is insufficient scientific evidence from randomised controlled trials to support the routine use of closed-suction drains in body contouring procedures. The aim of this study was to evaluate cumulative seroma volume, length of hospital stay and complication rates in abdominoplasty patients without drains in direct comparison with a cohort receiving drains.

 Abdominoplasty patients were prospectively randomised in two study groups with (MD) and without (OD) placement of closed-suction drains. Patients with a BMI ≤ 30 kg/m
undergoing horizontal or combined horizontal/vertical incision abdominoplasty were included. Scarpa's fascia was preserved during dissection. Exclusion criteria comprised simultaneous liposuction, coagulation disorders and ASA score ≥ 3. Cumulative seroma volume over a four-week follow-up period was assessed as the primary outcome measure. Secondary outcome measures were complications requiring surgical revision and length of hospital stay.

 This trial did not identify a statistically significant difference in cumulative seroma volume between the MD (30/53) and OD (23/53) cohorts in 53 patients (M
493 ± SD 407 ml; M
459 ± SD 624 ml; p = 0.812). However, a significantly shorter average length of hospital stay was observed in the OD population (M
5.1 ± SD 1.4 d; M
4.2 ± SD 1.5 d; p = 0.023). Complication rates were equal in both study groups (n
 = 1; n
 = 1).

 The results of this trial do not justify routine placement of closed-suction drains in abdominoplasty procedures (horizontal or combined horizontal/vertical incision) in the pre-obese patient cohort (BMI ≤ 30 kg/m
). Drain placement should be evaluated on an individual patient-specific basis.
 The results of this trial do not justify routine placement of closed-suction drains in abdominoplasty procedures (horizontal or combined horizontal/vertical incision) in the pre-obese patient cohort (BMI ≤ 30 kg/m2). Drain placement should be evaluated on an individual patient-specific basis.
To summarize significant research contributions on cancer informatics published in 2019.

An extensive search using PubMed/Medline and manual review was conducted to identify the scientific contributions published in 2019 that address topics in cancer informatics. The selection process comprised three steps (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of two best papers was conducted by the editorial committee of the Yearbook.

The two selected best papers demonstrate the clinical utility of deep learning in two important cancer domains radiology and pathology.

Cancer informatics is a broad and vigorous subfield of biomedical informatics. Applications of new and emerging computational technologies are especially notable in 2019.
Cancer informatics is a broad and vigorous subfield of biomedical informatics. Applications of new and emerging computational technologies are especially notable in 2019.
Conduct a survey of the literature for advancements in cancer informatics over the last three years in three specific areas where there has been unprecedented growth 1) digital health; 2) machine learning; and 3) precision oncology. We also highlight the ethical implications and future opportunities within each area.

A search was conducted over a three-year period in two electronic databases (PubMed, Google Scholar) to identify peer-reviewed articles and conference proceedings. Search terms included variations of the following neoplasms[MeSH], informatics[MeSH], cancer, oncology, clinical cancer informatics, medical cancer informatics. The search returned too many articles for practical review (23,994 from PubMed and 23,100 from Google Scholar). Thus, we conducted searches of key PubMed-indexed informatics journals and proceedings. We further limited our search to manuscripts that demonstrated a clear focus on clinical or translational cancer informatics. Manuscripts were then selected based on their methd research.
To introduce and summarize current research in the field of Public Health and Epidemiology Informatics.

PubMed searches of 2019 literature concerning public health and epidemiology informatics were conducted and the returned references were reviewed by the two section editors to select 14 candidate best papers. These papers were then peer-reviewed by external reviewers to allow the Editorial Committee a curated selection of the best papers.

Among the 835 references retrieved from PubMed, two were finally selected as best papers. The first best paper leverages satellite images and deep learning to identify remote rural communities in low-income countries; the second paper describes the development of a worldwide human disease surveillance system based on near real-time news data from the GDELT project. Internet data and electronic health records are still widely used to detect and monitor disease activity. Identifying and targeting specific audiences for public health interventions is a growing subject of interest.
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