The Personalized Medicine Revolution Summary

Development in personalized medicine could greatly influence the current standards of diagnosis, prognosis and treatment. The Human Genome Project guaranteed a revolution in the individualized treatment concept. Just as a person’s characteristics are unique to their genomic information, the origin to a disease could be correlated with the genomic sequences unique to that person. An advantage of such a therapeutic approach is diagnosing the possible susceptibility to a disease and preventing this outcome by providing drug therapies much before its outbreak.

Patients Like Me (PLM) is a patient generated research network that strives to improve lives and a research platform in real-time that wishes to advance medicine. On this network, individuals can connect with other who has a common illness or condition, and they can monitor and share their own experiences. In PLM, the information progression data is generated about diseases that can help researchers, medical companies, pharmaceutical companies, and nonprofits, and helps create a more effective care, products, and services. Patient experience with treatments and medication are gathered, which allows treatment efficiency and any side effects to be measured and recorded. If People Like Me were to grow without a General Platform, then the network must continue to add on other niche communities as the group has done in previous

The National Institute of Health (NIH), in coordination with President Obama, has set out in 2015 to tackle these very challenges with their “Precision Medicine Plan”, where the NIH is seeking over one million volunteers to provide health related data for “genetic factors... also the role of environmental exposures and their impact on genetic predispositions”, among other goals. (Steenhuysen, 2015) This project in the growing field of precision medicine is now feasible with the recent developments in the field of both data quality and analysis coupled with leaps in computing power that can back it up. (Warshaw, 2015) The NIH plan, while

Going back hundreds of years, we can trace the history of health care. Although it has evolved over the years, it all has a common goal; to heal those who are ill. Technology is one of the major evolutions and now plays a big role in the health care system. It helps patients to be more involved with their healthcare. They can make appointments, follow up on test results, and contact their doctors. Back then, they didn’t even have all the medicine we have now, let alone the technology. We can only imagine what is in store for the future.

This case study revolves around the video case “Curing Aging,” a CBC news broadcast by Kelly Crowe who interviews David Rollo’s, professor of the McMaster University in Hamilton, Ont., British gerontologist Aubrey de Grey of Cambridge, and Ear Fee of Mississauga, Ont. In the video case, there are three approaches. First, Prof. David Rollo and his team have a mice-experiment in his biology laboratory which feeding one of the mice with a cocktail of supplements, including B

HC2: With personalized medicine comes many areas of concern, including cost and ethics. It is well known that medical testing of any kind is typically very costly, and personalized medicine is no different. Medical institutions are often slow to adopt new technology and unwilling

Personalized medicine can lead to the development of great discoveries that could revolutionize the world. The research of personalized medicine is new and costly but that is not the only setback this new science must face. Personalized medicine has also presented issues of race and gender that cannot be silenced until further research is conducted. It is clear that personalized medicine could provide great benefits for fighting illness, but it can lead to issues of underrepresentation of race and concerns of gender in terms of drug safety and with the little that is known right now the cost outweigh the benefits.

Medicine in the 21st Century has continued to push the boundaries of science to unthinkable limits, often fusing complex technological elements and concepts together to achieve great feats. Two major contributing factors that have increased the use of high-technology in modern day medicine are Evidence-based Medicine and Health-Informatics. One study completed at Ohio State University (2016) proved how beneficial combining high-technologies such as Health Informatics Tools (HIT) and Evidence-Based Medicine can be. "Achieving a vision of 'interventional informatics ' will requires us to re-think how we study HIT tools in order to generate the necessary evidence-base that can support and justify their use as a primary means of improving the human condition" (Embi et al, 2016). This synergistic effect is just one of many countless examples of the successful advancements in medicine today. These strings of successful advancements in medicine can almost certainly be linked to the progression of specific

Our clinician specialists that managed interventions for genetic disease continually found that they were seeing patients who required more dramatic interventions or difficult conversations about the progression of disease, even toward end-of-life. Our front line providers in primary care had the most frequent opportunity to identify the patient’s risk for disease. Physicians at the Clinic embrace and embody the mission of the clinic to put patients first, and live a culture which is open to using new tools that will help increase the quality of care delivered to patients. The team I put together imagined a integrate technical solution that could

In order to better understand aging-associated diseases, it is first necessary to define what aging is. Aging is a complex, multifactorial process of harmful mutations in cells and tissues that are accumulated over time and result in an increased risk of disease and, eventually, death (Tosato, Zamboni, Ferrini, & Cesari, 2007, p. 401). Contrary to the belief that aging can be cured through medical advances, it is scientifically accepted that, while human life expectancy has increased, the human life span has remained largely unchanged for the past 100,000 years (Tosato et al., p. 401). Therefore, future developments in aging research ought to focus on addressing treatment and prevention of major aging-associated diseases that will

The practice of personalized medicine that aims to individualize the diagnosis of a disease and therapy according to the individual patient’s characteristics, such as clinical comorbidities and risk factors, can base on decisions of evidences and guidelines derived from population-based studies and clinical trials. Big data can help study disease patterns across geographies, based on multiple factors that contribute to the incidence of a specific disease. Researchers can benefit from information about trends or changing disease patterns over time and more significantly, regarding location shifts in disease patterns. Pattern analysis can be further extended to various types of epidemic spreads in plants and animals. Epidemic early warning systems

Cancer is very complex and different throughout every person. Throughout the years there has been advancements in science and technology toward a more personalized approach, trying to understand the causes and treatments best for each patient’s cancer. Through the launch of Precision Medicine Initiative researchers, doctors, pharmaceutical companies, government agencies and more will come together in the efforts of introducing personalized medicine.

Josko (2014) asserts that the era of personalized medicine is upon us, and that with the completion of the Human Genome Project, and advances in DNA sequencing techniques and

Aging is the process of becoming older, as we age, multiple mutations occur that concern all the processes of aging well as it compromising a number of different genes. There are many theories of biological aging, such as the Cellular Aging Theory, Immunological Theory, and the Wear and Tear Theory. The Cellular Aging theory describes the process of aging in which cells slow their number of replication, thus giving each species a “biological clock that determines its maximum life span” and how quickly one 's health will deteriorate(Hooyman, 42). After a certain number of years, each cell which follows an apparent biological clock starts to replicate itself less, thus the specific individual or species slowly deteriorates. This theory gives

These personal companions are able to monitor every human reaction to physical and emotional stimuli, as well as, how a specific disease process is affecting the different systems of the body, and how medications are systemically treating any disease process. This system will detect disease processes much earlier than is capable at the present time. This information is then transmitted to this global health care network, as previously mentioned, and the data used to better understand disease processes and help to find cures for these diseases. The human genome has also been decoded by computers, for the cost of around one-hundred dollars. With this technology, medical professionals can better understand why some people, and who these people are specifically, are more susceptible to different types of cancer, heart disease, diabetes and so on. These chronic conditions and diseases will be cured and prevented and the larger problem will be mutating viruses and “super bugs”, for which pharmaceutical companies have put very little effort into developing curative or nonresistant medications.