A new breed of hobbyists, scientists, and entrepreneurs are working on echolocation implants, brain-controlled software programs, and even cybernetic rats. Their experiments will change the future of tech.
Une étude exclusive réalisée en partenariat avec Meditailing, Une étude « terrain » conduite à partir d’une quinzaine d’entretiens approfondis menés auprès de responsables de laboratoires pharmaceutiques, d’experts en marketing digital, d’agences ...
Antoine POIGNANT, MD's insight:
Quelques facteurs clés de succès pour une stratégie digitale efficace
Prendre conscience de l’enjeu stratégique majeur du digitalAcquérir une culture digitale approfondie face aux contraintes réglementairesMettre en place une organisation digitale intégrée au marketingJouer la carte du « brand content »Proposer des innovations digitales en cohérence avec les parcours de soins des patientsProposer des solutions qui contribuent à décloisonner la ville et l’hôpital, et à fédérer les professionnels de santé entre eux
Ever wonder if DIY home improvements are really worth the time and money? From replacing carpet to simply sprucing up your yard, many home improvement and remodeling projects can yield a high return on investment. In other words, the value the renovation adds to your house is greater than the cost. Before bringing out the toolkit or paint brush, check out this DIY infographic from http://blog.nationwide.com to discover the best home improvements for resale.
Dans notre dernier article « Le quantified self pour qui et pour quoi ? » nous décrivions les applications mobiles avec objets connectés.
Du bracelet tracker Nike Fuelband au lecteur de glycémie connecté iBGStar, le sport et la santé sont deux secteurs moteurs des objets connectés et du quantified self. C’est pourquoi aujourd’hui, pour y voir un peu plus clair, nous vous proposons le panorama des objets connectés sport et santé.
Avec plus de 20 objets répertoriés, nous ferons évoluer ce mapping au fur et à mesure, avec le lancement de nouveaux produits et grâce à votre contribution.
J'étais un gros utilisateur de Google Reader, le logiciel de Google de lecture des flux de syndication (Atom et RSS) "dans le cloud". Ils ont annoncé il y a quelques jours qu'ils allaient fermer (obligatory Downfall parody), et ça a consterné tous les geeks qui utilisent encore les flux de syndication (super pratique je trouve pour me tenir au courant de ce que font les gens dans les domaines qui m'intéressent, en complément des notifications arXiv).
Facebook, Twitter et Tumblr seraient-ils les trois têtes du Cerbère des temps modernes ? Les réseaux sociaux peuvent ouvrir les portes de l'enfer pour qui devient la victime d'un nouveau phénomène: le slut shaming.
Wearable sensors, trackers and other such technolohgy are reshaping the healthcare industry as there is growing potential to change unhealthy behaviors through more information gleaned from these products.
The neurocam is the world's first wearable camera system that automatically records what interests you.
It consists of a headset with a brain-wave sensor and connects to an iPhone. The system estimates whether you're interested in something from the brain-waves captured by the sensor, and uses the iPhone's camera to record the scenes that appear to interest you.
Just buy wearing the neurocam, the scenes you have shown an interest in are recorded automatically, and are added to an album which you can look through later.
"Right now, the iPhone's camera is ready to record what's in my line of sight through a prism. The iPhone shows what the camera has captured, so it feels as if it's reading my mind. My brain-waves are analyzed by an iPhone app, which quantifies my level of interest on a scale from 0 to 100. If the level exceeds 60, the number turns red, and the camera starts to record automatically, producing a 5-second GIF animation."
"We're using the iPhone so that analysis and capture can be done with one device. But this is still a concept model. So, we think there are lots of possibilities, such as turning this into a wearable camera."
The neurocam arose from the neurowear project, which is involved with items that use brain-waves and bio-sensors, like necomimi, which works using brain-waves. The algorithm for quantifying brain-waves was co-developed with Associate Professor Mitsukura at Keio University.
In the future, the project team aims to create an emotional interface, which could link a range of devices and services to people's individual thoughts and feelings.
"Because this system is hands-free, we think it could capture a life log, which would be different from deliberately pressing a shutter to capture things you like. As an application in a B2B environment, neurocam could determine what goods in stores interest people. And because the information includes position data, you can do mapping, so it could also show what places people are interested in as an aid for urban development planning. We think it could be used in lots of ways like that."
A lot of the focus in wearable computing has been on delivering products that help everyday users monitor some of the more basic activity traits, such as steps taken and heart rate. While these are certainly useful metrics for health monitoring, they do not paint the full picture.
Computational biologists instead study the chemical changes that occur in people’s bodies with the help of optical sensors, non-invasive devices that use the red-to-near-infrared spectral region to assess the chemical changes that occur in the user’s blood vessels, among other places.
By leveraging this cutting-edge technology and wearable computing, we are equipped to understand the changes that occur in a person’s body at a whole new level. The implications of this change span from improved training of athletes to better management of chronic diseases and healthcare.
Some interesting recent cases in research that show the potential for disruption include:
Researchers at the National Technical University of Athens have helped individuals self-manage diabetes by stimulating the function of an artificial pancreas with fully embedded wearable systems. A paper in the Journal of Biomechanics shows promising results for wearables in athletic training. Scientists mapped out the physiology of athletes’ ski-jumps in order to determine the biological constraints of each individual’s approach. By comparing data across 22 different skiiers, the scientists were able to determine that the wearable system was a very promising tool for training that captured information beyond the capacity of a traditional camera.Researchers at Texas A&M University are investigating the use of optical sensors to interact with dermally-implanted microparticle sensors. This technology could enable cost cutting and continuous blood chemistry monitoring.Optical sensors used to monitor both athletic performance and overall health by researchers at the Dublin Institute of Technology. The sophisticated sensors interpret user’s sweat particles in order to deduce what is going on at a biological level. One of the sensors measured pH levels of sweat particles in order to deduce dehydration while athletes were running. This is a huge stride for activity tracking because it represents real time monitoring of athletic performance and biological signals
Via nrip, Rémy TESTON
The U.S. spends more on healthcare than any other nation: around $9,000 per person in 2012. Can data scientists help?
The technology that’s already increased retail revenues and made law enforcement more effective could enhance healthcare providers’ business, by improving patient outcomes and lowering costs.
What’s the future of big data in healthcare?
According to the McKinsey Global Institute, using data to better predict the healthcare needs of the U.S. population could save between $300 and $450 billion.
One of those at the forefront of the industry, with over 20 years’ experience of developing clinical analytics, is John McDaniel, practice leader for the U.S. Healthcare Provider Market at NetApp. He sees four key trends:
1. The Patient Data Warehouse By 2015, the average hospital will have two-thirds of a petabyte (665 terabytes) of patient data, 80% of which will be unstructured data like CT scans and X-rays.
“It’s eye opening that the human body needs so much storage,” McDaniel told me. When it comes to streamlining healthcare, the important thing is to find a way to manage that data.
Already, Picture Archiving and Communication Systems (PACS) allow scans and X-rays to be shared seamlessly across departments. For example, when my husband broke his finger, the diagnostic X-ray taken at one hospital was automatically available at the specialist unit at the hospital where he went for treatment.
According to McDaniel, a lot of that patient data is currently moldering in silos, because healthcare professionals lack the means to share it effectively. As big-data techniques become commonplace, it’s becoming easier to navigate these masses of data, and so cut down on the number of repeated tests and treatments.
2. Predictive Medicine Our grandchildren will view personalized medicine the way we view antibiotics. It’ll be impossible—terrifying even—to imagine a time when patients were treated with a “one size fits all” drug for cancer, diabetes or heart disease because we didn’t know the risks from our genes and lifestyle.
Big data is ushering in an era of personalized medicine. In the realm of cancer treatment, we already know who should receive what drug for certain types of breast tumor, based on genetic markers.
According to McDaniel, monitoring the genomic markers that predict expensive diseases will soon allow healthcare providers to provide earlier treatment to mitigate or even totally eradicate the risk of some cancers and other chronic or deadly diseases.
3. Wellness Maintenance It doesn’t end there. Big data can unlock the patterns of risk factors—both genetic and behavioral—that lead to higher rates of some diseases in some people, and guide them to make the lifestyle and medication changes that will keep them well.
For example, McDaniel is working with a concierge practice to deliver a groundbreaking wellness-maintenance service. By keeping a close eye on markers for the “big ticket” illnesses like diabetes, congestive heart failure, and dementia, the practice can ensure that the patient is staying healthy through diet, activity and preventative medicine:
“If a patient with one of these illnesses carries on down an unchecked path then the cost will be between $1.5 and $3.5 million per patient.”
Accountable care organizations are leading the push towards more proactive, personalized health management—going so far as to help their customers to not get sick. According to the McKinsey Global Institute, better targeting of preventative healthcare messages to the right population at the right time could save $70-100 billion.
4. Just-In-Time Medicine Obviously, treating patients at the wrong time and in the wrong place is costly. Scheduled care is much cheaper than unscheduled care. Today, the industry works hard to “maximize production,” but improved big-data analytics across the industry can help optimize it further.
Click the image to see how your body is a source of big data
Optimizing patient discharge timing could save up to $70 billion according to McKinsey. For example, hospitals have always struggled to find the right discharge time for patients. Too late, and the patient ties up valuable bed space; too early, and patient outcomes suffer (not to mention the costs of readmission via the emergency room).
McDaniel told me that big data can help here too. As well as clinical analytics, healthcare providers are increasingly looking towards analytics to manage patient throughput, triage cases, and make predictions at a population level. This allows providers to fine tune their resources so that they can provide what he calls “just in time medicine.”
As Dr. Ari Robicsek told Beckers Hospital Review recently: “We compute a patient’s risk of being readmitted. … A user can look at a panel of patients to see which patients are at risk—high, medium or low—of being readmitted in 30 days.”
Big data also promises to set benchmarks, ward to ward and state to state. The cost of everything from appendectomies to X-rays becomes transparent, improving competition and driving down costs. It’s estimated that there’s another $100 billion of savings possible here, too.
The Bottom Line A hundred-billion here, a hundred-billion there: Pretty soon, you’re talking serious money.
With possible savings of 10% of the entire U.S. medical bill, insights from big data could be the prescription for better care, lower costs and higher productivity. Says John McDaniel:
“There’s no question. This is the future of healthcare.”
Siberian temperatures. Eleven grueling days, navigating rough terrain. Six teams, matched for talent, competing for glory at the end. The Iditarod? Nah, just the annual MIT Health and Wellness Hackathon.This isn’t your average social app-fest.
Selon une étude américaine, twitter pendant un régime accélèrerait les résultats de ce dernier. Cette info, très sérieuse, va en surprendre plus d'un et pourrai booster le développement du micro-blogging !