Novel developments in bioinformation, bioinformatics and biostatistics, including artificial intelligence (AI), play a timely and critical
role in translational care. Case in point, the extent to which viral immune surveillance is regulated by immune cells and soluble
factors, and by non-immune factors informs the administration of health care. The events by which health is regained following viral
infection is an allostatic process, which can be modeled using Hilbert's and Volterra's mathematical biology criteria, and biostatistical
methodologies such as linear multiple regression. Health regained following viral infection can be given as Y being the sum-total of the
positive factors and events (∏) that inherently push allostasis forward (i.e., the orderly process of immune activation and maturation)
and the negative (N) factors and events that, allostatically speaking, interfere with regaining health. Any gaps in knowledge are filled
by AI-aided immune tweening. Proof of concept can be tested with the fast-gaining infection using tick-borne Bunyavirus that cause
severe fever with thrombocytopenia syndrome (SFTS).
Bioinformation is at the very core of 21st-century healthcare. Telehealth consists of the range of healthcare-related services delivered
through bioinformation-aided telecommunications across health-related disciplines, including nursing. Whereas it is clear that bedside
patient-centered nursing can never be replaced, recent developments in bioinformation-aided telenursing will undoubtedly contribute
to improving healthcare effectiveness and efficacy. Current trends show that as telenursing becomes increasingly timely and critical,
healthcare professionals adopt new and improved evidence-based practices as a standard for patient care worldwide.
Translational science conceptualizes healthcare as a concerted set of processes that integrate research findings from the bench to the
bedside. This model of healthcare is effectiveness-focused, patient-centered, and evidence-based, and yields evidence-based revisions
of practice-based guidelines, which emerge from research synthesis protocols in comparative effectiveness research that are
disseminated in systematic reviews. Systematic reviews produce qualitative and quantitative consensi of the best available evidence.
The quantitative consensus is derived from meta-analysis protocols that are often achieved by probabilistic approach Bayesian
statistical models.
Lubricin is a synovial glycoprotein that contributes to joint lubrication. We propose the hypothesis that lubricin is a key modulator of
the psychoneuroendocrine-osteoimmune interactome, with important clinical relevance for osteoarthritic pathologies. We consider a
variety of neuroendocrine-immune factors, including inflammatory cytokines and chemokines that may contribute to the modulation
of lubricin in rheumatic complications. Based on our preliminary immunocytochemistry and fractal analysis data, and in the context of
translational research of modern healthcare, we propose that molecular lubricin gene expression modification by means of the novel
CRISPR/Cas system be considered for osteoarthritic therapies.
Cholera remains a feared, aggressive, infectious and lethal disease today, despite several decades of intense research, concerted public
health modalities designed to prevent, and to control outbreaks, availability of efficacious vaccines aimed at containing its contagious
spread, and effective patient-centered medical interventions for reducing morbidity and mortality. Despite these advances, cholera still
strikes communities around the world, especially in countries and regions of the globe where medical and nursing care cannot be as
effectively proffered to the population at risk as in First World economies. Case in point, the number of suspected cholera cases that
currently afflicts Yemen escalates at an "unprecedented rate", according to the World Health Organization. Here, following a brief
introduction of the history of the medical knowledge about cholera, we discuss current trends of our understanding of clinical immune
surveillance against the bacillus that causes cholera, vibrio Cholera (vCh). We cite the current state of best available evidence about anticholera
vaccines, and outline certain directions for future study to characterize the clinical immunology of cholera.
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