Artificial intelligence for the artificial kidney: Pointers to the future of a personalized hemodialysis therapy

Current dialysis devices are not able to react when unexpected changes occur during dialysis treatment, or to learn about experience for therapy personalization. Furthermore, great efforts are dedicated to develop miniaturized artificial kidneys to achieve a continuous and personalized dialysis therapy, in order to improve patient’s quality of life. These innovative dialysis devices will require a real-time monitoring of equipment alarms, dialysis parameters and patient-related data to ensure patient safety and to allow instantaneous changes of the dialysis prescription for assessment of their adequacy. The analysis and evaluation of the resulting large-scale data sets enters the realm of Big Data and will require real-time predictive models. These may come from the fields of Machine Learning and Computational Intelligence, both included in Artificial Intelligence, a branch of engineering involved with the creation of devices that simulate intelligent behavior. The incorporation of Artificial Intelligence should provide a fully new approach to data analysis, enabling future advances in personalized dialysis therapies. With the purpose to learn about the present and potential future impact on medicine from experts in Artificial Intelligence and Machine Learning, a scientific meeting was organized in the Hospital of Bellvitge (Barcelona, Spain). As an outcome of that meeting, the aim of this review is to investigate Artificial Intelligence experiences on dialysis, with a focus on potential barriers, challenges and prospects for future applications of these technologies.Postprint (author's final draft

Deterministic Chaos: Applications in Cardiac Electrophysiology

Our universe is a complex system. It is made up of many moving parts as a dynamic, multifaceted machine that works in perfect harmony to create the natural world that allows us life. The modeling of dynamical systems is the key to understanding the complex workings of our universe. One such complexity is chaos: a condition exhibited by an irregular or aperiodic nonlinear deterministic system. Data that is generated by a chaotic mechanism will appear scattered and random, yet can be defined by a system of nonlinear equations. These mathematical equations are characterized by their sensitivity to input values (initial conditions), so that small differences in the starting value will lead to large differences in the outcome. With deterministic chaos, it is nearly impossible to make long-term predictions of results. A system must have at least three dimensions, and nonlinear characteristics, in order to generate deterministic chaos. When nonlinearity is introduced as a term in a deterministic model, chaos becomes possible. These nonlinear dynamical systems are seen in many aspects of nature and human physiology. This paper will discuss how the distribution of blood throughout the human body, including factors affecting the heart and blood vessels, demonstrate chaotic behavior. The physiological studies presented in this paper represent some of the investigations into the chaotic systems that can be found in the human body. With modern computing technologies, we are able to identify patterns that were previously thought to be random variations of regular systems, such as the heartbeat. By understanding these systems on a mathematical level, scientists can produce mathematical models of irregular oscillations within the body. Currently, research is being conducted to develop chaos control techniques to treat patients with heart rhythm irregularities. This paper will first introduce chaos theory in a historical context, and then present some of its modern scientific applications

Design behaviors : programming the material world for responsive architecture

The advances of material science, coupled with computation and digital technologies, and applied to the architectural discipline have brought to life unprecedented possibilities for the design and making of responsive, collectively created and intelligent environments. Over the last two decades, research and applications of novel active materials, together with digital technologies such as Ubiquitous Computing, Human-Computer Interaction, and Artificial Intelligence, have introduced a model of Materially Responsive Architecture that presents unique possibilities for designing novel performances and behaviors of the architectural Beyond the use of mechanical systems, sensors, actuators or wires, often plugged into traditional materials to animate space, this dissertation proves that matter itself, can be the agent to achieve monitoring, reaction or adaptation with no need of any additional mechanics, electrical or motorized systems. Materials, therefore, become bits and information uniting with the digital world, while computational processes, such as algorithmic control, circular feedback, input or output, both drive and are driven by the morphogenetic capacities of matter, uniting, therefore, with the material world. Through the applications and implications of Materially Responsive Architecture we are crossing a threshold in design where physicality follows and reveals information through time and through dynamic configurations. Design is not limited to a finalised form but rather associated to a performance, where the final formal outcome consists in a series of animated and organic topologies rather than static geometries and structures. This new paradigm, is referred to, in this thesis, as the Design Behaviors paradigm (in the double sense of "behaviors of design" and "designing behaviors"), and is characterized by unique exchanges and dialogues between users and the environment, facilitated by the conjunction of human, material and computational intelligence. Buildings, objects and spaces are able to reconfigure themselves, in both atomic and macro scale, to support environmental changes and users' needs, behavioral and occupational patterns. At the same time the Design Behaviors paradigm places not only matter and the environment at the center of design and morphogenesis, but also the users, that become active participants of their built environment and play the final creative role. This paradigm shift, boosts new relations among the human's perception and body and the inhabited space. The new design paradigm is also a new cultural one, in which statics, repetition and Cartesian grids, traditionally related with safety, orientation and comfort, give way to motion, unpredictability and organic principles of evolution. Materially Responsive Architecture and the Design Behaviors paradigm define uniquely enhanced "environments" and "ecologies" where human, nature, artifice and technology collectively and evolutionally co-exist within a framework of increased consciousness and awareness. This thesis argues that, while there is no doubt that our future cities will consist in an extensive layer of distributed sensors, actuators and digital interfaces, they will also consist in an additional layer of novel materials, that are dynamic and soft, rather than rigid and hard, able to sense as sensors, actuate as motors, and be programmed as a software. The new materiality of our cities relies on the advances of material science, coupled with the cybernetic and computational power, and can be actuated by the environment to change states (Re-Active Matter), can be controlled by the users to respond (Co-Active Matter), and eventually can be designed and programmed to learn and evolve as living organisms do (Self-Active Matter). The physical space of the city is, thus, the seamless intertwining of digital and material content, becoming an active agent in the dynamic relationship between the environment and humans.Los avances en la ciencia de los materiales, junto con la computación y las tecnologías digitales, y aplicados a la disciplina arquitectónica, han dado vida a posibilidades sin precedentes para el diseño y la realización de entornos responsivos, inteligentes y creados de forma colectiva. En las últimas dos décadas, la investigación y aplicación de nuevos materiales activos junto con tecnologías digitales como la Computación Ubicua, la Interacción Hombre-Ordenador y la Inteligencia Artificial, han introducido el modelo de Materially Responsive Architecture (Arquitectura Materialmente Responsiva), que presenta posibilidades únicas para el diseño de nuevas actuaciones y comportamientos del espacio arquitectónico. Más allá del uso de sistemas mecánicos, sensores, o motores, a menudo conectados a materiales tradicionales para activar el espacio, esta disertación demuestra que la materia en sí misma puede ser el agente que consiga monitoreo o reactividad sin necesidad de añadir ningún sistema mecánico o eléctrico. Los materiales, en este caso, se convierten en bits e información fundiéndose con el mundo digital, mientras que los procesos computacionales, como el feedback circular y el input o output, a la vez impulsan y son impulsados por la capacidad morfogenética de la materia, uniéndose, por lo tanto, con el mundo material. A través de las aplicaciones y las implicaciones de la Materially Responsive Architecture, estamos cruzando un umbral en el diseño donde el mundo físico sigue y revela información a través de configuraciones dinámicas en el tiempo. El diseño no se limita a una forma finalizada, sino se relaciona a una performance, donde el resultado formal final consiste en una serie de topologías orgánicas y animadas en lugar de estructuras y geometrías estáticas. En esta tesis doctoral, este nuevo paradigma se denomina paradigma de Design Behaviours (en el doble sentido de "comportamientos de diseño" y de "diseño de comportamientos") y se caracteriza por intercambios únicos entre el usuario y el entorno, facilitados por la conjunción de inteligencia humana, material y computacional. Los edificios, objetos y espacios pueden reconfigurarse a sí mismos, tanto a nivél atómico como a macro escala, para responder a los cambios ambientales y a las necesidades de los usuarios. Al mismo tiempo, el paradigma Design Behaviors coloca en el centro del diseño y la morfogénesis no solo la materia y el medio ambiente, sino también a los usuarios, que se convierten en participantes de su entorno construido y desempeñan el papel creativo final. El nuevo paradigma define "entornos" y "ecologías" aumentados de manera singular, donde el ser humano, la naturaleza, el artificio y la tecnología coexisten de manera colectiva y evolutiva dentro de un marco de mayor conciencia consciente. El nuevo paradigma de diseño es también un nuevo paradigma cultural, en el que las redes estáticas, repetitivas y cartesianas, tradicionalmente relacionadas con la seguridad, la orientación y el confort, dan paso al movimiento, la imprevisibilidad y la evolución orgánica. Esta tesis sostiene que, si bien no hay duda de que nuestras ciudades futuras consistirán en una capa extensa de sensores distribuidos e interfaces digitales, también contarán con una capa adicional de materiales dinámicos y suaves, en lugar de rígidos y duros, capaces de sentir como sensores, actuar como motores y ser programados como un software. La nueva materialidad de nuestras ciudades puede ser activada por el medio ambiente para cambiar su estado (Re-Active Matter), puede ser controlada por los usuarios para responderles (Co-Active Matter), y eventualmente puede diseñarse y programarse para aprender y evolucionar por sí misma así como lo hacen los organismos vivos (Self-Active Matter). El espacio físico de la ciudad es, por lo tanto, el entrelazado holístico entre contenido digital y material, convirtiéndose en un agente activo en la relación dinámica entre el medio ambiente y los humanos

Identification of a plasma signature of psychotic disorder in children and adolescents from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort

The identification of an early biomarker of psychotic disorder is important as early treatment is associated with improved patient outcome. Metabolomic and lipidomic approaches in combination with multivariate statistical analysis were applied to identify plasma alterations in children (age 11) (38 cases vs 67 controls) and adolescents (age 18) (36 cases vs 117 controls) preceeding or coincident with the development of psychotic disorder (PD) at age 18 in the Avon Longitudinal Study of Parents and Children (ALSPAC). Overall, 179 lipids were identified at age 11, with 32 found to be significantly altered between the control and PD groups. Following correction for multiple comparisons, 8 of these lipids remained significant (lysophosphatidlycholines (LPCs) LPC(18:1), LPC(18:2), LPC(20:3); phosphatidlycholines (PCs) PC(32:2; PC(34:2), PC(36:4), PC(0-34-3) and sphingomyelin (SM) SM(d18:1/24:0)), all of which were elevated in the PD group. At age 18, 23 lipids were significantly different between the control and PD groups, although none remained significant following correction for multiple comparisons. In conclusion, the findings indicate that the lipidome is altered in the blood during childhood, long before the development of psychotic disorder. LPCs in particular are elevated in those who develop PD, indicating inflammatory abnormalities and altered phospholipid metabolism. These findings were not found at age 18, suggesting there may be ongoing alterations in the pathophysiological processes from prodrome to onset of PD