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Biomedical subjects

Mark d'Inverno

Publications and source records attributed to Mark d'Inverno.

2 recordsLinked to original sources

Agents in bioinformatics, computational and systems biology.

The adoption of agent technologies and multi-agent systems constitutes an emerging area in bioinformatics. In this article, we report on the activity of the Working Group on Agents in Bioinformatics (BIOAGENTS) founded during the first AgentLink III Technical Forum meeting on the 2nd of July, 2004, in Rome. The meeting provided an opportunity for seeding collaborations between the agent and bioinformatics communities to develop a different (agent-based) approach of computational frameworks both for data analysis and management in bioinformatics and for systems modelling and simulation in computational and systems biology. The collaborations gave rise to applications and integrated tools that we summarize and discuss in context of the state of the art in this area. We investigate on future challenges and argue that the field should still be explored from many perspectives ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages to be used by information agents, and to the adoption of agents for computational grids.

Artificial Intelligence↗

Understanding cell lineages as complex adaptive systems.

Stem cells may be considered complex reactive systems because of their vast number in a living system, their reactive nature, and the influence of local environmental factors (such as the state of neighboring cells, tissue matrix, stem cell physiological processes) on their behavior. In such systems, emergent global behavior arises through the multitude of local interactions among the cell agents. Approaching hematopoietic and other stem cell lineages from this perspective have critical ramifications on current thinking relating to the plasticity of these lineage systems, the modeling of stem cell systems, and the interpretation of clinical data regarding many diseases within such models.

Adaptation, Physiological↗