This article investigates the origins of the experiences involved in the diagnostics (detection and normative evaluation) of biological entities in image-based medical praxis. Our specific research aim presupposes a vast discussion regarding the origins of knowledge in general, but is narrowed down to the alternatives of anthropomorphism and biomorphism. Accordingly, in the subsequent chapters we will make an attempt to investigate and illustrate what holds the diagnostic experiential situation together—biological regularities, manifestation via movement, conscious synthesis, causal categories, or something else. (...) We argue that as long as knowledge originates out of practices, a promising way forward is to oscillate between the prominent although controversial ideas of the history of philosophy and observations of concrete human practices, such as, in our chosen example, image-based medical diagnostics of biological pathologies. Although a number of thinkers are involved in the discussion, Aristotle and Husserl are most important here as the representatives of historical paradigms on the matter. The body in this research was not taken solely as the physical entity (Körper) but rather as a transcendental, constitutive structure where diagnostic and biological processes synchronize in teleological movement (Leib). However, philosophical speculations are illustrated by actual radiograms, the interpretation of which brings us back to the aforementioned question of primacy regarding cognition. (shrink)

Festschrift in Honor of Barry Smith on the occasion of his 65th Birthday. Published as issue 4:4 of the journal Cosmos + Taxis: Studies in Emergent Order and Organization. Includes contributions by Wolfgang Grassl, Nicola Guarino, John T. Kearns, Rudolf Lüthe, Luc Schneider, Peter Simons, Wojciech Żełaniec, and Jan Woleński.

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics (...) domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)