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A significant challenge of managing successful engineering projects is to know their status at any time. This paper describes a concept of automated project progress measurement based on data flow models, digital twins, and machine learning (ML) algorithms. The approach integrates information from previous projects by considering historical data using ML algorithms and current unfinished artifacts to determine the degree of completion. The information required to measure the progress of engineering activities is extracted from engineering artifacts and subsequently analyzed and interpreted according to the project's progress. Data flow models of the engineering process help understand the context of the analyzed artifacts. The use of digital twins makes it possible to connect plan data with actual data during the completion of the engineering project.

Summary Lately, the usefulness of liposomal drug delivery systems has been debated. To better understand the underlying pharmacokinetics of the targeted drug delivery by liposomes, individual encapsulated and non-encapsulated drug concentrations in blood, tumor, liver, spleen and kidneys were quantified after i.v. administration of liposomal prednisolone phosphate in mice. Kinetic analysis shows that the tumor influx of encapsulated drug is not dominant compared to the uptake by the other tissues. Further, from a quantitative point of view, the availability of non-encapsulated drug in the tumor tissue after liposomal delivery is not pronounced as compared to the other tissues studied. However, drug release in the tumor seems more extended than in the other tissues and the non-encapsulated drug concentration decreases more slowly in the tumor than in the liver and spleen. The spleen shows a high affinity for the uptake of encapsulated drug as well as the release of drug from the liposomes. Subsequently, released drug in the spleen, and possibly also in other tissues, is probably quickly redistributed towards the blood and other tissues. This also impairs the drug delivery effect of the liposomes. In contrast to the released drug in the central circulation, liver and spleen, the released drug concentration in the tumor remains at a fairly constant level likely due to the extended release kinetics from the liposomes. These extended release characteristics in the tumor most probably contribute to the beneficial effect. Nevertheless, it should be noted that larger released drug concentrations are formed in healthy tissues. Electronic supplementary material The online version of this article (10.1007/s10637-018-0708-4) contains supplementary material, which is available to authorized users.

The aim of the study was to examine the reproducibility of a rat model to assess the preclinical similarity in safety profiles and tissue accumulation of iron products. Accordingly, the effect of several doses of intravenously administered Venofer® and of Ferrlecit® on blood parameters, and on kidney and particularly liver toxicity were examined in non-anemic Sprague Dawley rats. The different analysis showed neither a clear treatment nor a dose effect after multiple injections. The parameters measured in this rat strain showed some iron induced adverse effects, but these could not be correlated to treatment specific differences. The findings presented in this paper indicate the difficulty to define a useful preclinical model to evaluate iron-based nano-colloidal preparations.

Objective: Implanted neuromodulation devices are known to interact with ECG-recordings. This has been reported as for DBS, SCS, as well as baroreceptor cell stimulation patients. In cardiac emergencies, interpretation of heart rate, rhythm, or even ST-segment can be completely impeded preventing emergency[for full text, please go to the a.m. URL], 69. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), Joint Meeting mit der Mexikanischen und Kolumbianischen Gesellschaft für Neurochirurgie

PURPOSE: The aim of this study was to determine the potential of magnetic resonance imaging to evaluate the biodistribution of exogenous iron within 24 h after one single injection of Venofer® (iron sucrose). METHODS: Venofer® was evaluated in vitro for its ability to generate contrast in MR images. Subsequently, iron disposition was assessed in rats with MRI, in vivo up to 3 h and post mortem at 24 h after injection of Venofer®, at doses of 10- and 40 mg/kg body weight (n = 2 × 4), or saline (n = 4). RESULTS: Within 10-20 min after injection of Venofer®, transverse relaxation rates (R2) clearly increased, representative of a local increase in iron concentration, in liver, spleen and kidney, including the kidney medulla and cortex. In liver and spleen R2 values remained elevated up to 3 h post injection, while the initial R2 increase in the kidney was followed by gradual decrease towards baseline levels. Bone marrow and muscle tissue did not show significant increases in R2 values. Whole-body post mortem MRI showed most prominent iron accumulation in the liver and spleen at 24 h post injection, which corroborated the in vivo results. CONCLUSIONS: MR imaging is a powerful imaging modality for non-invasive assessment of iron distribution in organs. It is recommended to use this whole-body imaging approach complementary to other techniques that allow quantification of iron disposition at a (sub)cellular level.

Various different passively and actively targeted nanomedicines have been designed and evaluated over the years, in particular for the treatment of cancer. Reasoning that the potential of ligand-modified nanomedicines can be substantially improved if intrinsically active targeting moieties are used, we have here set out to assess the in vivo efficacy of nanobody-modified core-crosslinked polymeric micelles containing covalently entrapped doxorubicin. Nanobody-modified polymeric micelles were found to inhibit tumor growth even in the absence of a drug, and nanobody-modified micelles containing doxorubicin were significantly more effective than nanobody-free micelles containing doxorubicin. Based on these findings, we propose that the combination of two therapeutic strategies within one nanomedicine formulation, i.e. the intrinsic pharmacological activity of ligand-modified carrier materials with the cytostatic activity of the incorporated chemotherapeutic agents, is a highly promising approach for improving the efficacy of tumor-targeted combination therapy.

Cancer vaccines are at present mostly based on tumor associated protein antigens but fail to elicit strong cell-mediated immunity in their free form. For protein-based vaccines, the main challenges to overcome are the delivery of sufficient proteins into the cytosol of dendritic cells (DCs) and processing by, and presentation through, the MHC class I pathway. Recently, we developed a cationic dextran nanogel in which a model antigen (ovalbumin, OVA) is reversibly conjugated via disulfide bonds to the nanogel network to enable redox-sensitive intracellular release. In the present study, it is demonstrated that these nanogels, with the bound OVA, were efficiently internalized by DCs and were capable of maturating them. On the other hand, when the antigen was just physically entrapped in the nanogels, OVA was prematurely released before the particles were taken up by cells. When combined with an adjuvant (polyinosinic-polycytidylic acid, poly(I:C)), nanogels with conjugated OVA induced a strong protective and curative effect against melanoma in vivo. In a prophylactic vaccination setting, 90% of the mice vaccinated with nanogels with conjugated OVA + poly(I:C) did not develop a tumor. Moreover, in a therapeutic model, 40% of the mice showed clearance of established tumors and survived for the duration of the experiment (80 days) while the remaining mice showed substantial delay in tumor progression. In conclusion, our results demonstrate that conjugation of antigens to nanogels via reducible covalent bonds for intracellular delivery is a promising strategy to induce effective antigen-specific immune responses against cancer.