scholarly journals A Pawnee Personal Medicine Shrine

1905 ◽  
Vol 7 (3) ◽  
pp. 496-498 ◽  
Author(s):  
George A. Dorsey
Keyword(s):  
Micromachines ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 220 ◽  
Author(s):  
Niazul I. Khan ◽  
Edward Song

Aptamers are oligonucleotides or peptides that are selected from a pool of random sequences that exhibit high affinity toward a specific biomolecular species of interest. Therefore, they are ideal for use as recognition elements and ligands for binding to the target. In recent years, aptamers have gained a great deal of attention in the field of biosensing as the next-generation target receptors that could potentially replace the functions of antibodies. Consequently, it is increasingly becoming popular to integrate aptamers into a variety of sensing platforms to enhance specificity and selectivity in analyte detection. Simultaneously, as the fields of lab-on-a-chip (LOC) technology, point-of-care (POC) diagnostics, and personal medicine become topics of great interest, integration of such aptamer-based sensors with LOC devices are showing promising results as evidenced by the recent growth of literature in this area. The focus of this review article is to highlight the recent progress in aptamer-based biosensor development with emphasis on the integration between aptamers and the various forms of LOC devices including microfluidic chips and paper-based microfluidics. As aptamers are extremely versatile in terms of their utilization in different detection principles, a broad range of techniques are covered including electrochemical, optical, colorimetric, and gravimetric sensing as well as surface acoustics waves and transistor-based detection.


2016 ◽  
Vol 67 (8) ◽  
pp. 883-889 ◽  
Author(s):  
Gretchen Snethen ◽  
Andrea Bilger ◽  
Erme C. Maula ◽  
Mark S. Salzer

1973 ◽  
Vol 78 (3) ◽  
pp. 448
Author(s):  
E.J. H.
Keyword(s):  

2030 ◽  
2010 ◽  
Author(s):  
Rutger van Santen ◽  
Djan Khoe ◽  
Bram Vermeer

No two individuals are alike. Some people are genetically predisposed to develop asthma, whereas others can cheerfully live a hundred meters from a major highway with no adverse effects. Genetic predisposition also plays an important part in the efficacy of drugs and in the progress of diseases like cancer, heart failure, and diabetes. Individual differences make doctors’ work more difficult. They can never be sure precisely how susceptible a person is to a specific disease or how effective a particular medicine will be. We can measure all sorts of things, but what do we have to know before we can accurately predict whether a given person will fall ill? Part of the answer is hidden in our genome: Inherited defects and sensitivity to medication show up in our DNA. The map of the human genome was colored in at record speed at the beginning of this century by two rival research teams, which ended up publishing their results simultaneously in 2001. Their achievement was compared with the first moon landing and the invention of the wheel. One of the competing groups was headed by American Craig Venter, who continues to spread the DNA gospel enthusiastically. Initially, Venter was part of the U.S. government–sponsored Human Genome Project, but he left the group. He founded a private company to create a database of genomic data. Venter characteristically mapped his own DNA, revealing that he bears a heightened risk of alcoholism, coronary artery disease, obesity, Alzheimer’s disease, antisocial behavior, and conduct disorder. Unfazed, he enthusiastically published his complete genome on the Internet. “A lot of people are scared to have their DNA examined,” he says. “They think all their inner secrets will be revealed. Even medical students are wary about supplying their DNA. But the course of our lives isn’t genetically determined, apart from exceptional cases where life expectancy is reduced by a serious hereditary condition.” Most people aren’t aware of the subtle mechanisms of genetics, he adds. “People think like 1980s scientists. Possibilities for analyzing DNA were limited back then.


2013 ◽  
Vol 36 (4) ◽  
pp. 258-263 ◽  
Author(s):  
Kim L. MacDonald-Wilson ◽  
Patricia E. Deegan ◽  
Shari L. Hutchison ◽  
Nancy Parrotta ◽  
James M. Schuster

1998 ◽  
Vol 15 (3) ◽  
pp. 189-189
Author(s):  
R Jones

2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110356
Author(s):  
Clémence Pinel ◽  
Mette N Svendsen

One of the key features of the contemporary data economy is the widespread circulation of data and its interoperability. Critical data scholars have analysed data repurposing practices and other factors facilitating the travelling of data. While this approach focused on flows provides great potential, in this article we argue that it tends to overlook questions of attachment and belonging. Drawing upon ethnographic fieldwork within a Danish data-linkage infrastructure, and building upon insights from archival science, we discuss the work of data practitioners enabling the repurposing of pathology samples extracted from patients for the conduct of ‘personal medicine’ – our term to discuss the so-called old-fashioned treatment of patients – towards personalised medicine. This first involves ‘getting to know’ the tissues and unpacking their previous uses and meanings, then detaching them from their original source to extract data from such tissues and making them flow towards a new container where they can be worked on and connected with other data. As data practitioners make these tissues travel, transforming them into research data, they organise the attachments of data to new agendas, persons and places. Crucially, in our case, we observe the prominence of national attachments, whereby managing tissues and data in and out of containers involves tying them to the nation to serve its interests. We thus expose how the building of data linkage infrastructures entails more than the accumulation and curation of data, but also involves crafting meanings, futures and belonging to specific communities and territories.


2015 ◽  
Vol 8 (1) ◽  
pp. 25-33
Author(s):  
Krešimir Pavelić ◽  
Tamara Martinović ◽  
Sandra Kraljević Pavelić

The idea behind personalized medicine is to tailor health care to an individual’s unique genetic makeup. Hitherto, “one size fits all” approach was used in medicine. With the rise of personal medicine, we are moving towards a more precise, predictable and powerful medicine that is customized for each individual patient. To allow for an improvement in the acceleration and efficacy of drug development, high-throughput methods (“omics”) are rapidly being developed. This leads to understanding of multiple factors that are involved in disease progress on an individual level. In order to analyze the great amount of data that is collected from such experiments, one has to turn to systems biology, an interdisciplinary science that studies complex interactions within a biological system. Finally, translational medicine comes into play, by “translating” the information gathered from research into diagnostic tools, medicines and policies, with the final goal of improving individuals’ health. Personalized medicine is one of the future, and it will revolutionize the current practice of diagnosis-based medicine, once fully developed.


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