Biosensors and bioindicators of drug abuse
Crystal Ball – Microbiomes, metabolic errors and detection of performance enhancing drug abuse, 2017, by Kenneth Timmis and James Kenneth Timmis. Environm. Microbiol. Rep. 9: 25-26.
This yarn about drug use in sports introduces the topics of metabolism of drugs by the human microbiome, microbial conversions of pro-drugs to drugs, microbes able to use drugs as food sources, errors of metabolism that create non-productive/toxic metabolites and the repair systems that reconfigure metabolic mistakes so that they re-enter central pathways, and bioassays for drugs.
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A routine consultation with Dr. Siri von App at the Digital Medical Centre
Crystal Ball – A routine check-up at the digital medical centre, 2017, by Kenneth N. Timmis and James K. Timmis. Microb. Biotech. 10: 25-27.
This yarn deals with the implementation of precision medicine in primary healthcare via medical centre robots networked to centrally archived and actively managed health records that, inter alia integrate patient genome sequence analysis, microbiome sample profiles and lifestyle interrogation information, and exploit AI to produce predictive analyses and current best practice for diagnosis, prophylaxis and therapy of individual patients.
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The Home Digital Clinic
The Home Clinic or All in a Day’s Work of Dr. Fics, 2020, by Kenneth N. Timmis. Microb. Biotech. 13: 3–10.
This yarn explores some options for transferring routine primary healthcare tasks from high-cost to low cost settings, namely the home, with the goals of increasing patient access to primary healthcare, reducing costs, and reducing the burden of routine tasks for healthcare professionals, thereby creating additional capacity for more complicated tasks requiring their high level of training and experience. Examples of routine tasks explored include eye tests, auditory assessments, dermatological scans, routine diagnostic procedures involving inter alia lateral flow strips, simple miniature readers, but also in-house sampling-analysis-diagnosis devices – Personal Health Stations, in the case illustrated, a smart lavatory – that is connected to the national patient data archiving-managing centre.
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