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Adaptive Aerosol Delivery (AAD) technology.

Jet nebulisers have, since the 1920s, been used for delivery of inhaled drugs for the treatment of asthma, chronic-obstructive pulmonary disease and pulmonary infections. During the last two decades, recognition of the shortcomings of conventional nebulisers has led to the development of new "intelligent" nebulisers such as the Adaptive Aerosol Delivery (AAD), Profile Therapeutics, a Respironics company) systems. Diseases of the airways have traditionally been logical candidates for treatment with inhaled drugs. The introduction of the "intelligent" nebulisers has, however, broadened the possibilities for inhaled treatment to include drugs targeted for systemic diseases. These nebulisers offer the possibility to deliver more precise doses of drug, maximise lung deposition, enhance adherence to treatment and compliance with the device through feedback to the patient, and last but not least, offer the possibility to reduce nebulisation times.

Administration, Inhalation↗

A Simulink model for the human circulatory system.

This paper presents the mathematical simulation of the human circulatory system. The model is based on the former work of Coleman and co-workers and has been redesigned for simulation with the Matlab toolbox "Simulink". It includes the heart and the peripheral circulation, the respiratory system, the kidneys and the major neural and hormonal control mechanisms, which are necessary for maintaining homeostasis. The model contains more than 30 blocks with over 200 physiological variables, which can be accessed and plotted during the simulation.

Artificial Intelligence↗

Artificial neural networks and their use in quantitative pathology.

A brief general introduction to artificial neural networks is presented, examining in detail the structure and operation of a prototype net developed for the solution of a simple pattern recognition problem in quantitative pathology. The process by which a neural network learns through example and gradually embodies its knowledge as a distributed representation is discussed, using this example. The application of neurocomputer technology to problems in quantitative pathology is explored, using real-world and illustrative examples. Included are examples of the use of artificial neural networks for pattern recognition, database analysis and machine vision. In the context of these examples, characteristics of neural nets, such as their ability to tolerate ambiguous, noisy and spurious data and spontaneously generalize from known examples to handle unfamiliar cases, are examined. Finally, the strengths and deficiencies of a connectionist approach are compared to those of traditional symbolic expert system methodology. It is concluded that artificial neural networks, used in conjunction with other nonalgorithmic artificial intelligence techniques and traditional algorithmic processing, may provide useful software engineering tools for the development of systems in quantitative pathology.

Artificial Intelligence↗

Is it time for a computer in your practice? II. What tasks your computer can perform.

In this article, the potential benefits of an office computer system have been detailed. As computer costs and sizes decrease, and computing capabilities increase, even more benefits will be had in the future. Of course, not all of these benefits are applicable to all practices. Equally important to note are the many problems associated with installation and use of computer systems, and these must be taken into account before an intelligent decision can be made as to whether its acquisition would benefit your practice. Helping the physician to weigh the benefits of an office computer system against its costs and potential problems will be the subject of the next article in this series.

Computers↗

Experiences from the use of data-driven decision support in different environments.

The paper reports experiences from the implementation and use of data-driven decision support based on the Arden Syntax in three different environments: in a health-care centre, in a clinical laboratory, and in a research department. Methods and tools used for realization of decision support systems (DSSs) are shortly presented, and integration aspects of the DSS with running clinical applications and existing patient databases are discussed. The application areas are also described, together with validation procedures for the developed knowledge modules.

Artificial Intelligence↗

Natural gas flow computer with open architecture using intelligent instrumentation and field bus.

A new approach to natural gas flow computer design is presented in this paper. The developed system runs on a personal computer and employs the state-of-the-art mathematical models for corrections of some aspects of fluid flow dynamics, as well as for compressible behavior of gaseous fluid considerations. Orifice plates were used as primary elements. Measurements were performed through intelligent sensors. Results of the system metrological tests are also presented.

Journal Article↗

Detection of the Earth with the SETI microwave observing system assumed to be operating out in the galaxy.

This paper estimates the maximum range at which radar signals from the Earth could be detected by a search system similar to the NASA Search for Extraterrestrial Intelligence Microwave Observing Project (SETI MOP) assumed to be operating out in the galaxy. Figures are calculated for the Targeted Search, and for the Sky Survey parts of the MOP, both operating, as currently planned, in the second half of the decade of the 1990s. Only the most powerful terrestrial transmitters are considered, namely, the planetary radar at Arecibo in Puerto Rico, and the ballistic missile early warning systems (BMEWS). In each case the probabilities of detection over the life of the MOP are also calculated. The calculation assumes that we are only in the eavesdropping mode. Transmissions intended to be detected by SETI systems are likely to be much stronger and would of course be found with higher probability to a greater range. Also, it is assumed that the transmitting civilization is at the same level of technological evolution as ours on Earth. This is very improbable. If we were to detect another technological civilization, it would, on statistical grounds, be much older than we are and might well have much more powerful transmitters. Both factors would make detection by the NASA MOP a much more likely outcome.

Astronomy↗

Interpreting the WISC-R subtest scores of reading impaired children--a structural approach.

The problem of characterising more specifically the cognitive requirements involved in subtests from standardised measures of intelligence represents a main problem in the research on exceptional populations. A new way of classifying tests of mental abilities is presented. Rather than focusing on the content of a given test, the present classification system focuses on their structures. The classification system is applied to the WISC-R (Wechsler Intelligence Scale for Children--Revised, Wechsler, 1974). It will be used to interpret the IQ-profiles of a clinically defined sample of reading impaired children (N = 82). The basic finding of the study is that the structural complexity of a subtest influences the tests results of reading impaired children. This influence is interpreted as a consequence of poor procedural knowledge; i.e., poor knowledge about how to organise complex sets of data. It is suggested that teaching of metacognitive strategies could be an aid for reading impaired children.

Adolescent↗

New paradigms in telemedicine: ambient intelligence, wearable, pervasive and personalized.

After decades of development of information systems dedicated to health professionals, there is an increasing demand for personalized and non-hospital based care. An especially critical domain is cardiology: almost two third of cardiac deaths occur out of hospital, and victims do not survive long enough to benefit from in-hospital treatments. We need to reduce the time before treatment. But symptoms are often interpreted wrongly. The only immediate diagnostic tool to assess the possibility of a cardiac event is the electrocardiogram (ECG). Event and transtelephonic ECG recorders are used to improve decision making but require setting up new infrastructures. The European EPI-MEDICS project has developed an intelligent Personal ECG Monitor (PEM) for the early detection of cardiac events. The PEM embeds advanced decision making techniques, generates different alarm levels and forwards alarm messages to the relevant care providers by means of new generation wireless communication. It is cost saving, involving care provider only if necessary and requiring no specific infrastructure. This solution is a typical example of pervasive computing and ambient intelligence that demonstrates how personalized, wearable, ubiquitous devices could improve healthcare.

Artificial Intelligence↗

Expert systems integrated with information systems.

Amongst the users of the AIDA applications there is a rapidly growing interest in the use of expert systems, not as independent systems, but as logical extensions of their already existing information systems. In this paper a prototype system (IDEA) will be described that consists of a set of utilities for the construction of an expert system within the context of an AIDA application. Although IDEA does not excel in sophisticated knowledge representations nor in search strategies (the development of which was not our primary concern) it is able to demonstrate that the facilities provided by AIDA together with the IDEA facilities result in an expert system which is characterized by a high degree of integration with the already operational information system.

Artificial Intelligence↗

INKBLOT: a neurological diagnostic decision support system integrating causal and anatomical knowledge.

As an initial step in the diagnostic process, human neurologists often use anatomical localization to constrain the set of diagnostic hypotheses deserving further consideration. We describe an automated system, INKBLOT-1, which uses anatomical localization in much the same way as human neurologists. Given a set of manifestations, INKBLOT-1 generates a set of hypothetical localizations relative to a coordinate system of nested cubes and then uses these localization(s) to explain the manifestations. We trace the reasoning mechanism utilized by INKBLOT-1 for a particular set of symptoms and show how INKBLOT-1 is able to generate novel hypotheses that explain the observed manifestations. In doing this, INKBLOT-1 demonstrates capabilities not demonstrated by previously described systems.

Artificial Intelligence↗

A qualitative process system for modeling NF-kappaB and AP-1 gene regulation in immune cell biology research.

An experiment-oriented integrated model of the regulation of the biologically ubiquitous NF-kappaB and AP-1 gene transcription promoters was built by extending a previously developed qualitative process system for simulating cell behavior in the immune system. The core knowledge base (KB) implemented a deep biological ontology including molecular, ultrastructural, cytological, histological, and organismic definitions. KB states, relationships, predicates, and heuristics also represented process interactions between reactive oxygen species, growth factors, and a variety of kinases phosphorylating intermediate molecules in the NF-kappaB and AP-1 regulatory signaling pathways. The system successfully simulated the molecular process steps underlying outcomes of eight different molecular genetics laboratory experiments, including those dealing with NF-kappaB and AP-1 regulation in immunodeficiency virus infection and tumor necrosis factor responses.

Antibody Formation↗

Mining multilevel and location-aware service patterns in mobile web environments.

In this correspondence, we address the issue of efficiently mining multilevel and location-aware associated service patterns in a mobile web environment. In terms of multilevel concept, we consider the complex problem that locations and services are of hierarchical structures. We propose a new data mining method named two-dimensional multilevel (2-DML) association rules mining, which can efficiently discover the associated service request patterns by taking into account the multilevel properties of locations and services. The discovered patterns can be effectively utilized in real applications like location-based and personalized services. To the best of our knowledge, this is the first work addressing this research issue. Some variations of the 2-DML method with different properties in terms of execution efficiency and memory efficiency were also developed. Through empirical evaluation, the proposed methods are shown to deliver good performance in terms of efficiency and scalability under various system conditions.

Algorithms↗

Electronic forms: a next step in hospital automation.

Information consists of two parts, facts and communication. It is not enough for one person to know a fact; the fact must be communicated for it to be of any value to anyone else. Forms were invented to do just that--communicate facts in a systematic manner from one party to the next. Automating forms with computers on a local area network or a wide area network allows for hospital personnel to input a patient's information once and electronically share the information from one department to another, simultaneously. Switching from a paper-based forms system to a fully automated workflow forms system or combining the two can save a healthcare institution money, errors, time and even lives. The levels of an automated forms system include: electronic forms design, demand printing, typewriter replacement, intelligent forms, intelligent mail and true workflow automation.

Communication↗

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