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Cancer Data Machine Learning

Machine learning based cancer diagnostics

Search engine giant Yandex is using its advanced machine learning capabilities to detect cancer predisposition.

Yandex Data Factory has partnered with AstraZeneca to develop the RAY platform, which analyzes DNA testing results, generates a report about patient genome mutations, and provides treatment recommendations and side effect information. Testing will begin next month.

The two companies have signed a cooperation agreement  to launch big data projects in epidemiology, pathologic physiology, diagnostics and treatment of diseases (focused on contagious diseases, cancer, endocrinology, cardiology, pulmonology, and psychiatry).

WEARABLE TECH + DIGITAL HEALTH SAN FRANCISCO – APRIL 5, 2016 @ THE MISSION BAY CONFERENCE CENTER

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3-D Printing Brain

3D printed model for brain aneurysm surgery planning

Stratasys and the Jacobs Institute have used 3D printing for brain surgery planning in an effort to reduce risk. Anatomical models of a patient’s entire brain vessel anatomy were 3D printed before she underwent an aneurysm procedure.

The replica, built of a polymer that mimics human tissue, allowing the surgeons to plan their approach and practice the operation, was based on CT scans.

In this case. the accurate model enabled surgeons to fine-tune the procedure.  “While we were doing that mock procedure, we realized that we had to change some of the tools we wanted to use, given her anatomy,” said  Adnan Siddiqui, Jacobs’ Chief Medical Officer.

WEARABLE TECH + DIGITAL HEALTH SAN FRANCISCO – APRIL 5, 2016 @ THE MISSION BAY CONFERENCE CENTER

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Categories
Brain Gaming Seniors

Interactive senior health and brain training app

Notre Dame’s Nitesh Chawla has created eSeniorCare, a personalized, social app to help seniors age in place.

Several existing apps  track data.  eSeniorCare is meant to engage and stimulate seniors, and be interactive.  Users can connect with carers by sending questions and concerns through text or voice recordings.

Health goals are tracked and sent to supporters who can provide guidance and motivation.  Video, audio and text medication reminders can be sent.  Stimulating brain games, designed to enhance cognition and prevent degeneration, can be played.

The goal is senior independence, combined with a support system with enough data to proactively reach out when needed.

WEARABLE TECH + DIGITAL HEALTH SAN FRANCISCO – APRIL 5, 2016 @ THE MISSION BAY CONFERENCE CENER

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Categories
Brain

MRI shows structural neural substrate of happiness

Kyoto University’s Wataru Sato has used MRI to understand where happiness happens in the brain. However, the neural mechanism behind how happiness emerges remains unclear.

Sato’s recent paper shows that the  precuneus, which also becomes active when experiencing consciousness, mediates subjective happiness by integrating its emotional and cognitive components.

Participants had MRI brain scans and completed a survey that asked how happy they are generally, how intensely they feel emotions, and how satisfied they are with their lives.  Those who scored higher on the happiness surveys had more grey matter mass in the precuneus.

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Categories
Heart Wearables

Wearable VR system guides coronary artery surgery

Maksymilian Opolski of the Cardinal Wyszynski Institute of Cardiology used a VR system combining a custom app and Google Glass to clear a blocked coronary artery. The patient had chronic total occlusion, which  is difficult to clear with catheter-based percutaneous coronary intervention.   Surgeons often cannot visualize the blockage with CTA imaging.

The system provided 3D reconstructions of the artery during the procedure, allowing surgeons to verify the direction of the guide wire, to clear the blockage and implant two drug-releasing stents.

The head-mounted display enabled image capture and video.  The hands-free voice recognition system allowed for zoom and changes of images.

According to Opolski, “this case demonstrates the novel application of wearable devices for display of CTA data sets in the catheterization laboratory that can be used for better planning and guidance of interventional procedures, and provides proof of concept that wearable devices can improve operator comfort and procedure efficiency in interventional cardiology.”

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Categories
Apps Autism Brain Children

App identifies early signs of autism

Cognoa is an app  that asks parents to answer 15 questions about behavior to indicate whether their child is at risk of autism.  It is based on data from 10,000 children and validation studies led by Stanford professor Dennis Wall.

The system focuses on specific behaviors from  standard diagnostic instruments that have the highest value for detecting developmental delay and autism. The predictive algorithm relies on the behavioral reports from parents and a video evaluation of the child.

It is meant to be used by non-clinicians to earlier identify issues that require treatment by a physician.

Professor Wall will be a featured speaker at ApplySci’s NEUROTECH SAN FRANCISCO conference  on April 6th, which immediately follows WEARABLE TECH + DIGITAL HEALH SAN FRANCISCO on Aprl 5th.

Categories
Heart Respiratory Sensors

Ingestible sensor continuously monitors heart, breathing rates

MIT researchers are developing ingestible sensors that measure heart  and breathing rates from within the gastrointestinal tract using sound waves.

This type of sensor could make it easier to assess trauma patients, monitor soldiers in battle, perform long-term evaluation of patients with chronic illnesses, or improve training for professional and amateur athletes, the researchers say.

The team, led by Giovanni Traverso and Gregory Ciccarelli, created signal processing systems that distinguish the sounds produced by the heart and lungs from each other, as well as from background noise produced by the digestive tract and other parts of the body.

The sensor consists of a microphone in a silicone capsule, plus electronics that process the sound, and wirelessly send radio signals to an external receiver within 3 meters.

In a related development, Jawbone’s CEO recently described swallowable sensors in development. (See ApplySci, October 10, 2015.)

Click to view MIT video.

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Categories
Prosthetics Sensors

Self-healing sensor improves “electronic skin”

Hossam Haick and Technion colleagues are developing materials to be integrated into flexible electronics that mimic the healing properties of human skin.  The goal is to quickly repair incidental scratches or damaging cuts that might compromise device functionality. The synthetic polymer can “heal” electronic skin in one day, which can improve the materials used to achieve  a sense of touch in prosthetics.

The new sensor is comprised of a self-healing substrate, high conductivity electrodes, and molecularly modified gold nanoparticles.  The researchers noted that “the healing efficiency of this chemiresistor is so high that the sensor survived several cuttings at random positions.”

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Categories
Brain

32 gene expression patterns identified in human brains

An Allen Institute study describes a surprisingly small set of patterns that characterize how brains express or use genes.  This finding appears to be common to all of us.

Genes were ranked by consistency of expression (or usage) patterns across each brain studied. The relationship of these genes to one another, and to brain function and disease, were analyzed. Across all (approximately) 20,000  genes, most  usage throughout different brain regions was characterized by just 32 expression patterns.

The genes most consistent across the 6 brains in the study included those associated with autism and Alzheimer’s Disease.  This understanding will hopefully lead to better detection and treatment of brain diseases.

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Categories
Seniors Wearables

Gait monitoring wearable to prevent senior falls

Roozbeh Jafari and Texas A&M colleagues are developing a gait monitoring wearable to  prevent senior falls.  The system will analyze multiple sway and gait parameters while one walks or stands on one leg.   Users will receive auditory and vibration feedback to reduce an unsafe sway and prevent falls. The wearable will be worn on the ankle and chest, and can be used for home monitoring or clinical training/risk assessment.

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Categories
Eyes Wearables

LCD glasses treat amblyopia, correct vision

Amblyz are programmable LCD glasses that can treat amblyopia (colloquially known as “lazy eye”).

Instead of patching, the lens over the affected eye would go dark for a few seconds out of every 30 during the prescribed patching period.  As children with amblyopia often have astigmatism or nearsightedness, the glasses simultaneously corrects vision (when not occluding it).

Researchers compared  Amblyz with traditional patching on 33 children, ages 3-8. For 3 months, one group wore the patch for 2 hours per day, while the other wore Amblyz for 4 hours per day. Both groups showed similar improvement, and were able to see an average of two more lines on a reading chart.

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Categories
Heart Monitoring Respiratory

Phone tracks health with out wearable sensors

Javier Hernandez Rivera of Rosalind Picard‘s Affective Computing Group at MIT is developing a health monitoring phone that does not require a wearable.  BioPhone derives biological signals from a phone’s accelerometer, which the team says captures small body movements that result from one’s heart beating and chest rising and falling.

Hernandez said that BioPhone is meant to gather data during still moments, simplifying the capture of small vibrations without having to account for many body movements.   He believes that this can detect stress, which could trigger the phone to provide breathing exercises, or notify a loved one to call.

12 subjects sat, stood, and lied down, before and after pedaling a bike, with a smartphone in their pocket.  To compare results,  they wore sensors to capture heart and breathing rates. Heart rates reported by smartphone data alone were off by 1 beat per minute, and breathing rates were off by 1/4 of a breath per minute.

MIT Technology Review reported that the findings were questioned by a U of Alabama mobile health expert, who believes  that results will be affected by signal noise from inadvertent motions.

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