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Digital health is going to need medical approval and a great UI

Digital health is going to need medical approval and a great UI | healthcare technology | Scoop.it

So far the internet of things hasn’t made much headway into patient care in the medical setting, but consumers are buying wellness devices for a variety of reasons. Will the medical world embrace that data?


The intersection of healthcare and connected devices was thrown into high relief these last few weeks as both Apple and Samsung unveiled ecosystems to take consumer health data and turn it into actionable intelligence.


But this week’s guests at the Weekly podacst at GigaOm are confident that as advanced as consumer-grade consumer grade health devices get, they won’t become something doctors are hot on for years to come — if ever.


In this week’s podcast Stacey Higginbotham discusses medical connected devices and where it may meet the consumer with Rick Valencia from Qualcomm Life. Will doctor’s prescribe our apps or devices? 


Vigisys's curator insight, June 15, 2014 4:22 AM

Un podcast intéressant qui évoque les freins à l'utilisation médicale des objets connectés. On y évoque le besoin de valider les usages avec des études cliniques et d'adapter les interfaces à un usage professionnel. Que du bon sens !

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Personalized Medicine Best Way to Treat Cancer - Study

Personalized Medicine Best Way to Treat Cancer - Study | healthcare technology | Scoop.it

“If you’re dealing with a disease like cancer that can be arrived at by multiple pathways, it makes sense that you’re not going to find that each patient has taken the same path” - John McDonald, a professor in the School of Biology at the Georgia Institute of Technology in Atlanta.


If a driver is traveling to New York City, I-95 might be their route of choice. But they could also take I-78, I-87 or any number of alternate routes. Most cancers begin similarly, with many possible routes to the same disease. A new study found evidence that assessing the route to cancer on a case-by-case basis might make more sense than basing a patient’s cancer treatment on commonly disrupted genes and pathways.


The study found little or no overlap in the most prominent genetic malfunction associated with each individual patient’s disease compared to malfunctions shared among the group of cancer patients as a whole.
“This paper argues for the importance of personalized medicine, where we treat each person by looking for the etiology of the disease in patients individually,” said McDonald, 


“The findings have ramifications on how we might best optimize cancer treatments as we enter the era of targeted gene therapy.”


The research was published February 11 online in the journal PANCREAS and was funded by the Georgia Tech Foundation and the St. Joseph’s Mercy Foundation.


In the study, researchers collected cancer and normal tissue samples from four patients with pancreatic cancer and also analyzed data from eight other pancreatic cancer patients that had been previously reported in the scientific literature by a separate research group.


McDonald’s team compiled a list of the most aberrantly expressed genes in the cancer tissues isolated from these patients relative to adjacent normal pancreatic tissue.


The study found that collectively 287 genes displayed significant differences in expression in the cancers vs normal tissues. Twenty-two cellular pathways were enriched in cancer samples, with more than half related to the body’s immune response. The researchers ran statistical analyses to determine if the genes most significantly abnormally expressed on an individual patient basis were the same as those identified as most abnormally expressed across the entire group of patients.


The researchers found that the molecular profile of each individual cancer patient was unique in terms of the most significantly disrupted genes and pathways.


more at http://www.news.gatech.edu/2014/02/24/personalized-medicine-best-way-treat-cancer-study-argues


Emma Pettengale's curator insight, September 9, 2014 10:15 AM

“If you’re dealing with a disease like cancer that can be arrived at by multiple pathways, it makes sense that you’re not going to find that each patient has taken the same path” - John McDonald, a professor in the School of Biology at the Georgia Institute of Technology in Atlanta.

Sophia Nguyen's curator insight, July 18, 2015 7:47 AM

Cancer research is something I'm particularly interested in and would try to go into someday and I found this interesting because it shows how medicine has evolved and becoming more personalized.

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Personalized Medicine: when a computer assists you with your health

Personalized Medicine: when a computer assists you with your health | healthcare technology | Scoop.it

We are all encouraged to live a healthy lifestyle to avoid potentially life-threatening diseases. Exercising and good dietary habits make a big difference in maintaining our health.


However, for some diseases, our cells carry important information that can alter this equation. It is estimated that the cells in our body have about 30 thousand genes. The information they encode tells each cell how to behave within our body.


For example, a particular gene might determine the eye color of a person; another gene might tell a cell that it should become heart tissue; and yet another could be in charge of producing insulin in our body. However, sometimes these genes can be mutated, causing the gene to be either nonfunctional or functioning with a different behavior. These mutations have been found to cause some of the most challenging diseases.


“Personalized Medicine” is a nascent field that tailors diagnosis and treatment to a patient by analyzing their clinical and genomic information. This is where bioinformaticians are assisting clinicians to achieve better diagnosis, treatments and clinical outcomes. Computer algorithms are a crucial part in this process, since human researchers cannot process the vast amount of information and interactions in the genomic data.



Algorithms can take into consideration a wide range of variables, including clinical signs and symptoms, laboratory data, and information from the DNA, such as the functioning of genes. They combine this information from a wide selection of people to come up with a model that can predict reasonably well the presence of a given disease. The rationale for this is to allow computers to ‘learn from past experiences’, and progressively gather data to improve upon their decisions.


Sky Sirewest's curator insight, December 18, 2013 11:01 AM

Now science / research has come full circle! A medically developed & tested natural product stimulates an enzyme in every cell that allows the body to correct bad cell growth. 

As we get older DNA material is gradually lost. DNA is the blue print for each of the millions of new cells created every minute. Our cells get weaker, more incomplete, & sometimes diseased as we travel down this road of aging. Too often this process is sped up by stress & toxic environment even in children.  As the the body begins to lengthen telomeres & replace missing DNA endless things are corrected. Doctors & scientist are more than too excited by transformations they are seeing in their patients & themselves. 

Hear more: 559 670 1425  See more: www.a-genetic-wonder.blogspot.com

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Where’s the value in a smart blood pressure monitor?

Where’s the value in a smart blood pressure monitor? | healthcare technology | Scoop.it

So we’ve all heard the varied stories on these; some people love these things and other think they are not much different from a classic old-style blood pressure device. We wanted to write up a few thoughts on where the value of these things lies.  And if you are hypertensive, pre-hypertensive of just want to be proactive about your health/genetic predisposition then read on.   It’s not just a price comparison, that would be an apples-and-oranges comparison.  In this case, apples and giraffes because they are that different!  


There’s a lot of value in a smart blood pressure monitor and it’s not really but is beyond the single measurement,  it’s about the long term trend collection.  


Here are some real life points to illustrate the point.


1) The value is in the long-term trend data… your own or a family member’s 

2) Reducing inaccuracies by relying on doctors’ offices or one off measurements.


3) Weight tracking integration


4) Alarm driven measurement 



Examples of each of these points can be found at the original :  http://blog.bodyfrontier.com/wheres-the-real-value-in-a-smart-blood-pressure-monitor/


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Using Health Information Technology to Engage Patients in their Care

Using Health Information Technology to Engage Patients in their Care | healthcare technology | Scoop.it

Patient engagement, defined as the process of placing patients at the center and in control of their own healthcare, is becoming a chief healthcare priority


Concurrently, a number of national information infrastructure initiatives are targeting increased patient engagement and the design of health information systems that improve the availability of health information and integrate it in meaningful ways for patients.  So far, these technology goals have been advanced primarily through the design of personal health records (PHRs), patient portals, electronic health records (EHRs), and health information exchanges (HIEs).  However, we remain far from achieving the goal of truly engaging patients in their care.


Generation and exchange of health data with patients is a requirement for Stage 3 EHR meaningful use incentives. Patients are entitled to an electronically generated copy of the record of their encounters with providers. 


Sharing provider-generated data with patients is expected to promote patient engagement and accountability, but our own experiences suggest that the data that are being shared are currently a mixed blessing.  For example, one encounter report took the form of a 6-page document in which the vast majority of information was copied and pasted from previous encounters and in which there were several factual errors. The errors will be discussed with the provider during the next visit.


Certainly the report got our attention; whether empowerment will result remains an open question.  On another occasion, although the visit itself had included making decisions about future treatment, the plan was not mentioned in the document, leaving the patient to rely on her own memory and notes.

The National eHealth Collaborative Technical Expert Panel recommends fully integrating patient-generated data (e.g., home monitoring of daily weights, blood glucose, or blood pressure readings) into the clinical workflow of healthcare providers

Although patients want this type of involvement, we have only begun to address their wishes and concerns.  In the next sections, we summarize the current status of several potential building blocks to achieving patient engagement goals and emphasize the role of the nurse informaticist as fundamental to the process.


more at the original : http://ojni.org/issues/?p=2848


Brandi Carney's curator insight, January 23, 2014 6:20 PM

This site helps to encourage patients to be more aware of their health by using different pieces of technology.

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Personalized medicine in psychiatry: problems and promises

Personalized medicine in psychiatry: problems and promises | healthcare technology | Scoop.it

The central theme of personalized medicine is the premise that an individual’s unique physiologic characteristics play a significant role in both disease vulnerability and in response to specific therapies.


The major goals of personalized medicine are therefore to predict an individual’s susceptibility to developing an illness, achieve accurate diagnosis, and optimize the most efficient and favorable response to treatment. The goal of achieving personalized medicine in psychiatry is a laudable one, because its attainment should be associated with a marked reduction in morbidity and mortality.


In this review, we summarize an illustrative selection of studies that are laying the foundation towards personalizing medicine in major depressive disorder, bipolar disorder, and schizophrenia. In addition, we present emerging applications that are likely to advance personalized medicine in psychiatry, with an emphasis on novel biomarkers and neuroimaging.


Excerpt From the Conclusion:


The prospect of personalized medicine in psychiatry more or less reflects ideals still largely unrealized. Currently, the field is at the information-gathering infancy stage.


The greatest progress can be expected at the intersections of the categories described above, such as gene × environment and genes × biomarkers, which will poise psychiatry to make biological system-based evaluations. Furthermore, some of the emerging applications, including imaging genomics, strengthen our conviction that the future for personalized medicine is highly promising.

 



more at http://www.biomedcentral.com/1741-7015/11/132


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What is the Future for Genetic Testing and Personalized Medicine?

What is the Future for Genetic Testing and Personalized Medicine? | healthcare technology | Scoop.it

Personalized medicine, or the ability for the medical profession to tailor therapy to particular individuals’ genetic characteristics, has been a long desired but ever elusive goal for the life sciences.  However, the prospects for personalized medicine appear to be improving in recent years.  These changes come in the wake of a variety of medical advances, including human genomic testing and cancer drugs targeted for individuals with specific genetic profiles.


As public attention to understanding the human genome has increased, the topic has garnered substantial controversy and regulation in this sector is poised to increase.  The Food and Drug Administration (FDA) has already indicated its intent to regulate—most recently in a report clarifying its future role in personalized medicine and in warning letters to direct-to-consumer genetic testing companies.


The FDA maintains it has the authority to regulate personal genetic data because it defines that data as a medical device under Section 201(h) of the Food Drug & Cosmetics Act.  The agency also points to its role as the federal body charged with providing guidance on medical device claims and protecting consumers.


Some health scholars and consumers have weighed in on the propriety of regulation.  In a study of consumer attitudes toward regulating direct-to-consumer genetic testing, researchers found many consumers wanted unfettered access to genetics testing services without government regulation, but favored oversight to ensure that the information provided was high quality.

Alfonso Barrios Sanz's curator insight, November 16, 2014 12:53 PM

Certainly it is one of the great advances in the next years.However, we must control it so it does not affect human ethics. For example, the health insurance would be more expensive if we have bad genetics.

Pau Monzón's curator insight, December 14, 2014 11:38 AM

that's an amazing advance. But will it endange the ethics?

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Personalized Medicine - Matching Treatments to Your Genes

Personalized Medicine - Matching Treatments to Your Genes | healthcare technology | Scoop.it

You’re one of a kind. Wouldn’t it be nice if treatments and preventive care could be designed just for you, matched to your unique set of genes?


The story of personalized medicine begins with the unique set of genes you inherited from your parents. Genes are stretches of DNA that serve as a sort of instruction manual telling your body how to make the proteins and perform the other tasks that your body needs. These genetic instructions are written in varying patterns of only 4 different chemical “letters,” or bases.


The same genes often differ slightly between people. Bases may be switched, missing, or added here and there. Most of these variations have no effect on your health. But some can create unusual proteins that might boost your risk for certain diseases. Some variants can affect how well a medicine works in your body. Or they might cause a medicine to have different side effects in you than in someone else.


The study of how genes affect the way medicines work in your body is called pharmacogenomics. 


“If doctors know your genes, they can predict drug response and incorporate this information into the medical decisions they make,” says Dr. Rochelle Long, a pharmacogenomics expert at NIH.


It’s becoming more common for doctors to test for gene variants before prescribing certain drugs. For example, children with leukemia might get the TPMT gene test to help doctors choose the right dosage of medicine to prevent toxic side effects. Some HIV-infected patients are severely allergic to treatment drugs, and genetic tests can help identify who can safely take the medicines. 


“By screening to know who shouldn’t get certain drugs, we can prevent life-threatening side effects,” Long says. 


Pharmacogenomics is also being used for cancer treatment. Some breast cancer drugs only work in women with particular genetic variations. If testing shows patients with advanced melanoma (skin cancer) have certain variants, 2 new approved drugs can treat them. 

Barbara Letscher's curator insight, December 5, 2013 6:10 AM

L'idée existait déjà dans des temps plus anciens avec l'observation des "terrains" individuels, et l'adaptation de l'alimentation à ces particularités personnelles. 

Du traitement de masse au traitement personalisé , il y a probablement quelques pas... Mais certains sont en marche ! On ne peut que s'en réjouir.

Le début de la fin du gaspillage aussi ?...........

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For Some Cancer Patients, Personalized Medicine Has Arrived

For Some Cancer Patients, Personalized Medicine Has Arrived | healthcare technology | Scoop.it

New tools for analyzing genes are allowing doctors to personalize treatment for some lung cancer patients.


Imagine your doctor being able to scan your DNA from a biopsy and pinpoint the medicine that will work best for you. This type of high-tech approach is a clinical reality for advanced lung cancer at The Ohio State Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC – James).


The technology, known as next generation "multiplex" gene sequencing, analyzes 50-plus genes in DNA extracted from a tumor biopsy for particular genetic mutations.


Previous technology required pathologists to analyze one mutation per tube in a sequencing reaction, but next-generation genome sequencing assesses more than 2,500 mutations in a single reaction. 


Knowing which mutations are present in lung tumors can help doctors tailor a patient's treatment to the unique genetic features present in his or her cancer cells.


The knowledge can also help in the development of new drugs that target previously unrecognized gene mutations in lung tumors. I often compare these genes to the gas pedal in a car — when activated, these genes make the cancer grow. By breaking the linkage between the gas pedal and the motor (or interfering with these "driver" mutations) with specific targeted drugs, doctors can stop this growth and often make the cancer shrink.


That's especially important in lung cancer because the majority of patients with this disease are diagnosed in the later stages, meaning it's important to start effective therapies quickly.


For example, a patient could be given a standard chemotherapy and expect a 25- to 30- percent response rate/shrinkage of a tumor. But if the treatment team knows that a patient has a mutation in a gene called EGFR, we can offer him or her a pill (erlotinib and afatinib are approved for this use in the United States), which has a 75-percent response rate and fewer side effects.


Gene sequencing is now considered the standard of care for stage-4 lung cancer patients at The OSUCCC – James and a handful of other centers across the United States — and several clinical trials evaluating molecular targeted therapies for patients with stage-3 lung cancers will soon start at The OSUCCC – James.


Lung cancer remains the number one cause of cancer death in the United States, and in the world, among both men and women. More than 200,000 cases are diagnosed annually in the United States. Each year during the month of November, physicians and others observe lung cancer awareness month, which sheds light on this terrible disease.

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FDA Helping to Advance Treatments Tailored to Patients

FDA Helping to Advance Treatments Tailored to Patients | healthcare technology | Scoop.it

Personalized medicine is the tailoring of a medical treatment to the individual characteristics, needs and preferences of a patient. Many recent advances involve using a patient's genetic information to guide his or her treatment.


Developing a truly personalized approach to patient care will require fundamental advances in the understanding of the biological, anatomical and physiological mechanisms that underlie disease, and how they are affected by environmental, genetic, social and cultural factors.


To describe its unique responsibilities and its efforts in facilitating the advancement of personalized medicine, the Food and Drug Administration (FDA) has released a new report entitled "Paving the Way for Personalized Medicine: FDA's Role in a New Era of Medical Product Development 


FDA's commitment to personalized medicine dovetails with its focus on advancing regulatory science, which is the science of developing new tools, standards and approaches to assess the safety, effectiveness, quality and performance of FDA-regulated products.


Here are some examples from the report of how FDA is using regulatory science to help speed the development of promising new personalized medicine therapies.


Virtual patient: Advances in medical imaging and the power of computers to create virtual, anatomically correct models of the human body have enabled the use of patient-specific computer simulations in clinical practice and medical device development. This has facilitated the creation of personalized, custom-built medical devices. FDA's Center for Devices and Radiological Health (CDRH) is developing a publicly available digital library of such models and simulations. This space for collaboration and sharing will help advance the personalization of medical device development and use.


Clinical Trial Designs and Methods: FDA is working to refine clinical trial design and statistical methods of analysis to address issues that often arise in the development of targeted therapeutics. The agency is also looking specifically at clinical trials for the development of cancer drugs. For example, FDA is participating in the "I-SPY 2 Trial," a groundbreaking clinical trial model that will help scientists quickly test the most promising drugs in development for women with rapidly growing breast cancers.


Biology of cancer: FDA's National Center for Toxicological Research (NCTR) conducts research to improve the understanding of cancer's underlying biology. A research project focused on the KRAS oncogene, for example, established that many tumors carry subpopulations of KRAS mutant cells, which can contribute to an acquired resistance to some cancer treatments.


Identification of genetic risk factors for vaccine reactions: FDA's Center for Biologics Evaluation and Research is involved in research collaborations that focus on identifying genetic risk factors associated with negative reactions to vaccines.


Genetics and cardiovascular risk: In collaboration with researchers at the University of Maryland, scientists at NCTR are conducting research to identify genetic factors that interact with common lifestyle factors—such as diet and drug exposure—to contribute to cardiovascular disease.


Personalized medicine for heart devices: Researchers at CDRH have made major advances in understanding the underlying biology of heart disease. They have used new methods to analyze electrocardiograms to identify the causes of heart disease and to predict which patients will benefit from specific cardiovascular treatments. These new methods are being used by outside research groups and may be used to design more efficient clinical trials in the future.


Joel Finkle's curator insight, November 25, 2014 10:33 AM

New FDA report on personalized medicine.  We're not quite to the home "autodoc" but more treatments will be tailored to each patient's genome, for greater safety, efficacy, and probably cost.