Day 1 :
Avant Santé Research Center SA de CV, Mexico
Jose Luis Pio Cruz Lopez has more than 15 years of experience in clinical trials from monitoring to running an international CRO. He is the creator of a workshop for patient recruitment for sites and pharmaceuticals. He is currently purusing his Doctoral studies from University Hospital of Nuevo Leon.
In the past two decades we have seen that clinical trial methods, technologies and recruitment have not changed too much. We have been witnessing of how pharmaceuticals, CROs, international regulatory entities and IT have moved from working alone to collaboration. Sentinel System (FDA’s national electronic system) has transformed the way researchers monitor the safety of FDA-regulated medical products. The personalized medicine is evolving and approaches better to patient’s health and specified therapies for the best outcome. Evolution of clinical trials moves to be faster and a more responsive model will allow to speed up the process of scientific validation with support of artificial intelligence can be helpful in every phase. Innovative approaches to patient recruitment using artificial intelligence and information exchange between patient medical information and clinical trials helps to meet the best options for patient’s treatment. Clinical trials will be moving from the traditional method to an adaptive trial designs using risk-based monitoring that will allow pre-identification rules for trial conduct error, data visualization for pattern and missing data analysis, centralization and streamlining of data collection, site performance diagnostics and determination of the probability of risk factors. It will be required to have a quick process for scientific validation and regulatory agency reviews so patients can have new and safe treatments available at the market.
University of Iceland, Iceland
Magnus S. Magnusson, Research Professor, founder and director of the Human Behavior Laboratory, University of Iceland. PhD in 1983, University of Copenhagen. Author of the T-pattern model and detection software THEMETM (PatternVision.com), focused on real-time organization of behavior. Co-directed DNA analysis. Numerous papers and talks/keynotes in ethology, neuroscience, mathematics, religion, proteomics, mass spectrometry and nanoscience. Deputy Director 1983-1988, in Museum of Mankind, National Museum of Natural History, Paris. Repeatedly invited temporary Professor at the University of Paris, V, VIII and XIII. In collaboration between now 32 universities initiated 1995 at University of Paris V, Sorbonne, based on “Magnusson’s analytical model”.
This talk presents a self-similar pattern type called T-pattern, a kind of statistical pseudo fractal recurring with significant translation symmetry on a single discrete dimension (now with a specialized detection algorithm and software THEME for Windows (see patternvision.com), which has allowed the discovery of numerous and complex interaction patterns in many kinds of human and animal interactions as well as in neuronal interactions within living brains. T-patterns have also been detected in interactions between robots and humans and seem characteristic for the structure of DNA and text. A definition of T-patterns is presented as well as the essentials of the current detection algorithms and examples. The potential importance of T-patterns is finally illustrated through a comparison between human mass societies and the mass societies of proteins within biological cells (sometimes called “Cell City”), where self-similarity of organization evolved over billions of years is striking from nano to human scales based on self-similar T-patterns, but appearing suddenly among large-brain animals in humans only and based on massively copied standardized T-patterned letter strings such as holy, legal and scientific texts. The invention of writing and thus a durable external T-patterned memory only a few thousand years ago -- a biological eye-blink -- allowing socio-cultural memory to become largely external to brains and the rise of the only large-brained mass-societies and advanced science and technology. The analogy and self-similarity is striking with the invention of DNA by the RNA world countless millions of years ago.