From laboratory bench to benchmark: technology transfer in laboratory medicine

Background: Life Sciences research, enhancing the occurrence of innovation, is able to impact clinical decision-making, both at diagnosis and therapy. Indeed, starting from the knowledge of specific needs and of technical-scientific demands, researchers can conceive and experiment innovative solutions. Despite these strengths, transferring research to the market in Life Sciences shows considerable criticalities. The aim of this paper is to provide concrete evidences on the processes of technology transfer based on the exploitation of the results obtained by KronosDNAsrl, an academic spin-off focused on reproductive medicine. Methods: Different tools were used to evaluate the technical feasibility (validation of the results obtained with the prototype) and to manage the technology transfer process of One4Two®. Results: The different analyses we carried out showed the feasibility of the proposed solution. As a result, the One4Two® prototype has been developed and validated. Conclusions: Here, we provide a strength of evidences on how knowledge obtained by translational research on "bench" can be used to be transferred to the market on "benchmark" enabling innovation in Laboratory Medicine. In addition, the model described for One4Two® can be easily transferred to other products

A service-based testbed for Trust Negotiation

Trust Negotiation allows users to develop trust incrementally, by disclosing credentials step by step. This way, services and resources can be shared in an open environment, and access rights can be granted on the basis of peer-to-peer trust relationships. This article presents a service-based testbed for Trust Negotiation. At its core, it is created as a generic framework based on the WS-Trust standard. It integrates a modular trust engine and a rule engine, which is used as a policy checker. The system is mainly oriented at Web services composition and location-based social networking scenarios

Multilanguage Semantic Interoperability in Distributed Applications

JOSI is a software framework that tries to simplify the development of such kinds of applications both by providing the possibility of working on models for representing such semantic information and by offering some implementations of such models that can be easily used by software developers without any knowledge about semantic models and languages. This software library allows the representation of domain models through Java interfaces and annotations and then to use such a representation for automatically generating an implementation of domain models in different programming languages (currently Java and C++). Moreover, JOSI supports the interoperability with other applications both by automatically mapping the domain model representations into ontologies and by providing an automatic translation of each object obtained from the domain model representations in an OWL string representation

A unified framework for traditional and agent-based social network modeling

In the last sixty years of research, several models have been proposed to explain (i) the formation and (ii) the evolution of networks. However, because of the specialization required for the problems, most of the agent-based models are not general. On the other hand, many of the traditional network models focus on elementary interactions that are often part of several different processes. This phenomenon is especially evident in the field of models for social networks. Therefore, this chapter presents a unified conceptual framework to express both novel agent-based and traditional social network models. This conceptual framework is essentially a meta-model that acts as a template for other models. To support this meta-model, the chapter proposes a different kind of agent-based modeling tool that we specifically created for developing social network models. The tool the authors propose does not aim at being a general-purpose agent-based modeling tool, thus remaining a relatively simple software system, while it is extensible where it really matters. Eventually, the authors apply this toolkit to a novel problem coming from the domain of P2P social networking platforms

Microconfined flow behavior of red blood cells by image analysis techniques

This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the Process Intensification Network, the Institution of Mechanical Engineers, the Heat Transfer Society, HEXAG - the Heat Exchange Action Group, and the Energy Institute, ASME Press, LCN London Centre for Nanotechnology, UCL University College London, UCL Engineering, the International NanoScience Community, www.nanopaprika.eu.Red blood cells (RBCs) perform essential functions in human body, such as gas exchange between blood and tissues, thanks to their ability to deform and flow in the microvascular network. The high RBC deformability is mainly due to the viscoelastic properties of the cell membrane. Since an impaired RBC deformability could be found in some diseases, such as malaria, sickle cell anemia, diabetes and hereditary disorders, there is the need to provide further insight into measurement of RBC deformability in a physiologically-relevant flow field. Here, we report on an imaging-based in vitro systematic microfluidic investigation of RBCs flowing either in microcapillaries or in a microcirculation-mimicking device containing a network of microchannels of diameter comparable to cell size. RBC membrane shear elastic modulus and surface viscosity have been investigated by using diverging channels, while RBC time recovery constant have been measured in start-up experiments. Moreover, RBC volume and surface area have been measured in microcapillary flow. The comprehension of the single cell behavior led to the analysis of the RBC flow-induced clustering. Overall, our results provide a novel technique to estimate RBC deformability, that can be used for the analysis of pathological RBCs, for which reliable quantitative methods are still lacking

Innovative technologies for diagnosis and screening of genetic diseases in antenatal age

The rapid progress of the technologies applied to laboratory diagnostics allows several diagnostic and screening options for the identification of genetic diseases and chromosomal alterations in the antenatal age. Couples at risk to have a child with a chromosomal or genetic illness (i.e., carriers of previously identified genetic alterations, a previous child with a genetic condition, and/or a positive family history) should receive personalized genetic counselling, preferably before the pregnancy. In this way, couples will be able to receive appropriate information about the best diagnostic option based on their personal and familial history. Taking into account that prenatal diagnostic options are rapidly changing with the emerging of more sensitive technologies and that, consequently, the offer for diagnostic tests in reproductive medicine is increased, in this review we discuss about the diagnostic indications for each test in antenatal age, such as preimplantation, invasive prenatal and non-invasive prenatal diagnosis (PND). In addition, sampling and the laboratory techniques are well represented. Rapid progress of modern high-throughput molecular technologies, largely based on next generation sequencing, has required clinical validation studies. The most representative studies were included in order to better characterize the technology used for each diagnostic test. Therefore, the combination of innovative diagnostic technologies with the increase in demand (also related to the increased age of both partners facing the first pregnancy) has contributed to the practice of antenatal diagnosis and non-invasive prenatal screening (NIPT)

The evolving role of genetic tests in reproductive medicine

Infertility is considered a major public health issue, and approximately 1 out of 6 people worldwide suffer from infertility during their reproductive lifespans. Thanks to technological advances, genetic tests are becoming increasingly relevant in reproductive medicine. More genetic tests are required to identify the cause of male and/or female infertility, identify carriers of inherited diseases and plan antenatal testing. Furthermore, genetic tests provide direction toward the most appropriate assisted reproductive techniques. Nevertheless, the use of molecular analysis in this field is still fragmented and cumbersome. The aim of this review is to highlight the conditions in which a genetic evaluation (counselling and testing) plays a role in improving the reproductive outcomes of infertile couples. We conducted a review of the literature, and starting from the observation of specific signs and symptoms, we describe the available molecular tests. To conceive a child, both partners' reproductive systems need to function in a precisely choreographed manner. Hence to treat infertility, it is key to assess both partners. Our results highlight the increasing importance of molecular testing in reproductive medicine