Scientistic conceptualisations hold to the positivistic positions that science is limitless in its potential representations of material phenomena and that it is the only sure path to knowledge. In recent popular scientific literature, these presuppositions have been reaffirmed to the detriment of both philosophy and theology. This article argues for the contrary position by a meta-analysis of empirical science from a Thomist perspective. Identifying empirical science as limited in its method and bound to the material sphere of being alone, we (...) posit that rather than standing as the sole path to the knowledge of being, empirical science is constrained at its frontiers. It is subsequently contended that far from empirical science having the explanatory ability to respond to all presenting scientific problems in principle, fundamentals without the grasp of the methodology of empirical science exist. To relate the article’s meta-analysis to scientific praxis, physical cosmology – as the most foundational empirical science – is exemplified in the discussion.Keywords: Philosophy; Religion; Science; Scientism; Thomism; Metaphysics; Epistemology. (shrink)

Advanced medical imaging, such as CT, fMRI and PET, has undergone enormous progress in recent years, both in accuracy and utilization. Such techniques often bring with them an illusion of immediacy, the idea that the body and its diseases can be directly inspected. In this paper we target this illusion and address the issue of the reliability of advanced imaging tests as knowledge procedures, taking positron emission tomography in oncology as paradigmatic case study. After individuating a suitable notion of reliability, (...) we argue that PET is a highly theory-laden and non-immediate knowledge procedure, in spite of the photographic-like quality of the images it delivers; the diagnostic conclusions based on the interpretation of PET images are population-dependent; PET images require interpretation, which is inherently observer-dependent and therefore variable. We conclude with a three-step methodological proposal for enhancing the reliability of advanced medical imaging. (shrink)