MedGizmo - MedGizmo: News and Developments In Digital Healh Technologies & Wearables for January 26, 2018
27.01.2018, 04:05   MedGizmo

MedGizmo: News and Developments In Digital Healh Technologies & Wearables for January 26, 2018

MedGizmo Daily Presentation Of News and Developments In Digital Healh Technologies & Wearables. Here is our selection for January 26, 2018


BEACON™ Digital Therapy Solution

Can help you overcome mental health concerns such as #depression, #anxiety, #stress or negative thoughts & feelings. Provides Cognitive Behavioural Therapy (CBT), a method of helping you learn skills to manage thoughts and feelings. Through regular messaging, your dedicated eTherapist will guide you through your care plan, tailoring your journey as you progress. Interactions with BEACON are secured to the highest standards of data protection.

CardioNexion by @-Health

Connected medical device - fully integrated into your everyday garments that provides real-time analysis of cardiovascular activity for optimal risk anticipation. Consists of a single medical device and real-time system for assessing risk of cardiovascular diseases. Cardionexion analyzes signals collected from patient, 24/7 and warns the physician when abnormalities are detected.



Are Mobile Health Apps Good Sources Of Information? 
If you are using a digital health tool (or plan to use one in the future) be on the lookout for these warning signs about its trustworthiness to protect your health.
Here’s what to look out for:
1. You Are Given A Firm Medical Diagnosis
2. It Does Not Educate You
3. You (The Patient) Have To Pay For Information
If you are concerned about an app you’re using, check it with your doctor or provider. Otherwise, keep these three rules in mind as you navigate the new digital healthcare market.

On the Digital Health Frontier: Developments Driving Industry Change in 2018
What did we learn in 2017 and what’s to come on the digital health frontier in the year ahead? From advances and investments in artificial intelligence (AI) and machine learning (ML) to the increasingly complex conversion of health care innovation and policy, McDermott’s Digital Health Year in Review details the key developments that shaped digital health in 2017, along with planning considerations and predictions for the health care and life science industries in 2018.
Report highlights include
Privacy and Cybersecurity
Provisions to the 21st Century Cures Act
US Food and Drug Administration (FDA) Updates
Modernization of Federal Human Subject Protection Regulations
Artificial Intelligence & Machine Learning

AI Can Predict Sepsis to Save Lives
Emory University researchers have created a “Sepsis Expert” algorithm that works in real time to predict the onset of sepsis, the deadly condition that often takes hold in healthcare settings. Banking on information from 31,000 patients admitted to 2 hospitals and data on 52,000 intensive care unit (ICU) patients from a public database, the researchers used machine learning to build an artificial intelligence (AI) technology that they hope will save lives.

News Bites brings you 5 weekly news in bite sized forms 
1. Universal blood test for cancer
2. Learning companion – robots to aid children with ADHD
3. Walmart turns excess opioids into biodegradable gel
4. Malaysia fast-tracks the cure for hepatitis C
5. A new algorithm for combating antibiotic resistance

Ultrasound : How did this 100-year-old Technology learn some new tricks? 
With the help of modern-day medical imaging, and lots and lots of bubbles. The 27-year-old electrical engineering grad student studies a particular kind of bubble—the gas-filled microbubbles that technicians use to bump up contrast in grainy ultrasound images. Passing ultrasonic waves compress the bubbles’ gas cores, resulting in a stronger echo that pops out against tissue.
“We’re starting to realize they can be much more versatile,” says Sun. “We can chemically design their shells to alter their physical properties, load them with tissue-seeking markers, even attach drugs to them.”   Nearly two decades ago, scientists discovered that those microbubbles could do something else: They could shake loose the blood-brain barrier. This impassable membrane is why neurological conditions like epilepsy, Alzheimer’s, and Parkinson’s are so hard to treat: 98 percent of drugs simply can’t get to the brain. But if you station a battalion of microbubbles at the barrier and hit them with a focused beam of ultrasound, the tiny orbs begin to oscillate. They grow and grow until they reach the critical size of 8 microns, and then, like some Grey Wizard magic, the blood-brain barrier opens—and for a few hours, any drugs that happen to be in the bloodstream can also slip in. Things like chemo drugs, or anti-seizure medications.  


M3dicine launches Stethee ‘smart’ stethoscope
Intelligent medical device developer M3dicine yesterday announced the launch of its Stethee AI-enabled stethoscope system designed to amplify, filter, record and analyze heart and lung sound. The newly launched, FDA-cleared Stethee Pro features technology to capture and analyze heart and lung sounds and data via Bluetooth, operating around smartphone applications for both Apple iOS and Google Android devices, the Brisbane, Australia-based company said. The Stethee system features the company’s Aida artificial intelligence engine designed to analyze heart and lung sounds to create personal biometric signals. The system is also designed to geo-tag the data, and include environmental data to samples it collects and analyzes.

You can't handle the 'Truthbrush': Miniaturised tech aims to transform toothbrush industry at MD&M West 
Product and design firm, Cambridge Design Partnership (CDP), has developed a miniaturised sensor that is able to be attached to an ordinary toothbrush to capture information into how people are brushing their teeth. The ‘Truthbrush’ technology uses algorithms and sensors to find out brushing information such as how long someone spends brushing their teeth, at what times of day they brush and the ratio of time spent cleaning the top versus the bottom teeth.
The technology means that any toothbrush company can gather data at the fraction of the cost of developing an electric toothbrush that uses a smart app.

Graphene based glucose-monitoring contact lens comfortable enough to wear
A team of researchers with the Ulsan National Institute of Science and Technology in the Republic of Korea has developed a glucose monitoring contact lens that its makers claim is comfortable enough to wear. In their paper published on the open access site Science Advances, the group describes their contact lens and suggests it could be ready for commercial use within five years.
Prior research has shown glucose levels in tears follows that of glucose levels in the blood in many respects. The polymer is the same type used in conventional contact lenses. The components of the device consist of a graphene-based sensor, a rectifier, LED display and a stretchable antenna. Power for the sensor is still external—it is held in the air a minimum of nine millimeters from the lens. The LED glows during normal conditions and turns off when high levels of glucose are detected. The flexibility of the lens and sensor components also allows for removal of the device in the same way as normal contact lenses—by grabbing and bending.


CareX - Blockchain Healthcare Ecosystem
CareX is a Platform that aims to provide the best solution for everyone who wants to find the cost of care or pay for health care in an easy and renewable way. CareX has a token that will be used as a means of payment based on Blockchain. Any transaction using CARE Token will contribute to this Platform of 0.5% per annum. Team CareX developed this Platform using Blockchain technology so that every transaction that User performs will be secured and permanently recorded by Blockchain technology. CareX will become a health service as well as a cheap investment for everyone, and with it, CareX is proud to introduce themselves to the Public.

Gainfy Smart, Secure, Decentralized Blockchain Healthcare Infrastructure
Gainfy, is one of the US’s first companies, who is pioneering in using blockchain, AI and predictive analytics to give everyone better tools for managing their health, offering easy appointment scheduling, no-cost telemedice advice, digital and crypto payments, and ability for patients to control and monetize their personal medical records. Blockchain, AI and use of predictive analytics will enable timely treatment of the patient, speed pre-authorization, better EMR management as well as accurate payment to the provider.

MedicalChain : Blockchain Technology for Secure Storage and Transfer of Electronic Health Records 
Medicalchain is a decentralized platform that enables secure, fast and transparent exchange and usage of medical data. We introduce utilization of blockchain tech- nology to store patient health records and maintain a single version of the patient’s true data. Medicalchain will enable different healthcare agents such as doctors, hospitals, laboratories, pharmacists and insurers to request permission to access and interact with medical records. Each interaction is auditable, transparent, and secure, and will be recorded as a transaction on Medicalchain’s distributed ledger. Moreover, no privacy is lost in this process; Medicalchain is built on the permission based Hyperledger Fabric architecture which allows varying access levels; patients control who can view their records, how much they see and for what length of time.

The future of health care is looking virtual
The concept of telemedicine has taken off over the past decade and its adoption will only continue to grow, as the telemedicine market is expected to reach approximately $38 billion in 2022. The industry, including both providers and patients, considers telemedicine a next generation health care tool and the future of care delivery – a fact that frankly raises a few red flags for me. How can telemedicine be a “next generation tool” when it originated back in the 1960s as a combination of tele-matic modes of communication and medicine? 

Telemedicine Market Evaluation | Top Competitors Overview by 2022; AMD Telemedicine, General Electric, Neusoft Co
The strategy of most players revolve around
Garnering distribution expansion so as to develop the market as well as gaining distribution efficiencies.
Expansion of product lines and product weightage and gain a complete line so as to make the company a one stop destination
Achieving synergies between in-house and acquired technologies with an aim to increase returns on investment through technological gains.

Allergists’ Association Supports Telemedicine for Specialty Care 
A trade group for allergists and immunologists has issued a position paper supporting telemedicine and telehealth, saying the technology can improve outcomes while cutting costs. Healthcare specialists who focus on allergies could use telehealth or telemedicine to improve clinical outcomes, reduce access and travel issues for their patients and boost their bottom line by treating more people, according to the American College of Allergy, Asthma and Immunology.


Real-Time Brain Monitor Wins International AI Challenge
Israeli medical startup aims to improve the health of patients who suffer from neurological disorders using machine-learning app.
Montfort (Mon4T)’s real-time brain monitor leverages smartphone technology to conduct, record and analyze data from a set of digital tests from patients with conditions like Parkinson’s disease and normal pressure hydrocephalus (NPH).
Montfort’s “master app,” available for both iOS and Android, is installed on the patient’s smartphone and links to all of the device’s integral sensors including touchscreen, microphone, and accelerometers. Indicators are provided in three dimensions: motor, cognitive and affective.
The app comes in two versions: a medical app to be used by the physician at the clinic, and a home version for patients to use in their natural environment.

Improving Stroke Treatment Through Machine Learning 
 Researchers from Heidelberg University have used the methods of optogenetics and machine learning to help improve treatment options for stroke patients.
The researchers developed a computer vision technique to analyze the changes in motor skills that result from targeted optogenetic stimulation of healthy areas of the brain. They used motor skills as the metric for analysis, as motor paralysis is the most common symptom post-stroke, along with speech and vision problems.
Movements recorded with a video camera are automatically analyzed to monitor the rehabilitation process and evaluate and adjust the optogenetic stimulation. Researchers from the Interdisciplinary Center for Scientific Computing (IWR) in Heidelberg worked with neurobiologists from Switzerland to develop the method.

Seeking mental help in a digital era
In this digital era, there are endless possibilities to the apps and services available online, but when it comes to mental health there are several things to consider before opening up.  “This needs to change and that is why Emergence Health Network has launched the Mental Health and You mobile application,” Kristi Daugherty, CEO Emergence Health Network said in a news release last fall.
One the app is downloaded, El Paso residents can enter their zip code and find access to mental health community resources and if someone they know is going through a mental health crisis they can get help from a trained mental health care professional.
A Stanford researcher is pioneering a dramatic shift in how we treat depression — and you can try her new app right now
Woebot is a free therapy chatbot that launched as a stand-alone iOS app on Thursday. Alison Darcy, a clinical psychologist at Stanford University, created it.
Woebot uses one of the best-researched approaches to treating depression, cognitive-behavioral therapy, to deliver scripted responses to users. It's part of a growing trend of incorporating smartphone apps into therapy.

People with Tetraplegia Gain Rapid Use of Brain-Computer Interface 
For a brain-computer interface (BCI) to be truly useful for a person with tetraplegia, it should be ready whenever it's needed, with minimal expert intervention, including the very first time it's used. In a new study in the Journal of Neural Engineering, researchers in the BrainGate collaboration demonstrate new techniques that allowed three participants to achieve peak BCI performance within three minutes of engaging in an easy, one-step process.

New Apple Watch App Uses Algorithm to Detect Seizures & Alert Providers
Smart Monitor, a Silicon Valley, CA-based provider of clinically validated solutions for the management of complex chronic conditions has announced the launch of SmartWatch Inspyre for the Apple Watch.  The new Apple Watch app uses a unique algorithm to recognize a wearer’s repetitive shaking movements, similar to those caused by convulsive seizures.

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27.01.2018, 04:05   MedGizmo
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