Google incorporates depression screening in search

FacebooktwitterlinkedinFacebooktwitterlinkedin

Google has introduced a new depression screening feature.  When the word “depression” is used in search, mobile users are offered a PHQ-9 questionnaire, which recognizes symptoms. A “Knowledge Panel” containing information and potential treatments appears on top of the page.

The goal is self awareness, and encouragement to seek help when needed.

Another company dedicated to improving brain health through mobile technology is Mindstrong Health.  The startup is developing clinically validated, phone-based mental illness screening, monitoring and treatment methods.  Co-founder Tom Insel will discuss their work at ApplySci’s upcoming Wearable Tech + Digital Health + Neurotech conference, on September 19th at the MIT Media Lab.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen

Registration rates increase Friday, August 25th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY –  FEATURING:  ZHENAN BAO – JUSTIN SANCHEZ – BRYAN JOHNSON – NATHAN INTRATOR – VINOD KHOSLA

Small, adhesive, wireless patch collects, transmits, extensive health data

FacebooktwitterlinkedinFacebooktwitterlinkedin

Northwestern’s John Rogers and Kyung-In Jang of the Daegu Gyeongbuk Institute of Science and Technology have developed a small, adhesive, flexible silicone patch capable of monitoring multiple health parameters.

The soft, body-conforming wearable contains 50 components connected by  250  3-D wire coils embedded in protective silicone.  It collects and wirelessly transmits data about movement, respiration, and  electrical activity in the heart, muscles, eyes and brain.

Jang believes that the biosensors could be devloped into a closed loop medical system using big data and AI, and thereby facilitate quality remote healthcare. The team is also exploring the use of the patch in robotics and self-driving cars.

Professor Rogers will present his research at ApplySci’s upcoming Wearable Tech + Digital Health + Neurotech conference, on September 19th at the MIT Media Lab.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen

Registration rates increase Friday, August 25th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY –  FEATURING:  ZHENAN BAO – JUSTIN SANCHEZ – BRYAN JOHNSON – NATHAN INTRATOR – VINOD KHOSLA

Retina scan + curcumin for early Alzheimer’s detection

FacebooktwitterlinkedinFacebooktwitterlinkedin

In a recent study, Maya Koronyo-Hamaoui and Keith Black at Cedars-Sinai  used a retina scan to detect amyloid-beta deposits, a predictor of Alzheimer’s disease, up to 20 years before symptoms.

16 Alzheimer’s patients drank a curcumin solution, which caused amyloid plaque in the retina to “light up” and be detected. Another key finding was the discovery of amyloid plaques in peripheral regions of the retina, which correlated with plaque amount in specific areas of the brain.

Keith Black presented this research at ApplySci’s April, 2016 Wearable Tech + Digital Health + Neurotech conference in San Francisco.  His dedication to finding non-invasive, more humane tests and treatments for brain diseases was apparent throughout his talk.  May his vision of  early detection, leading to early medical and lifestyle changes to impact the course of the disease, be widely adopted.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen

Registration rates increase Friday, August 25th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY

Machine learning for early Alzheimer’s diagnosis

FacebooktwitterlinkedinFacebooktwitterlinkedin

Anant Madabhushi and Case Western colleagues have used machine learning to diagnose Alzheimer’s disease via imaging data in a small study.  The goal is early intervention, which could potentially extend independence.

149 patients were analyzed using a Cascaded Multi-view Canonical Correlation (CaMCCo) algorithm, which integrates MRI scans, features of the hippocampus, glucose metabolism rates in the brain, proteomics, genomics, and MCI.

Parameters that distinguish between healthy and unhealthy subjects were selected first. The algorithm then selected, from the unhealthy variables, those that best distinguish who has mild cognitive impairment and who has Alzheimer’s disease.

This is an admirable attempt to diagnose a disease which currently has no cure.  ApplySci hopes that we will soon be able to combine early detection with a truly effective treatment.  Millions around the world are waiting.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen

Registration rates increase Friday, August 18th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY

fMRI + EEG used to detect consciousness in ICU patients

FacebooktwitterlinkedinFacebooktwitterlinkedin

MGH’s  Brian Edlow and colleagues have completed a small study showing the efficacy of using fMRI and EEG in ICU TBI patients to detect consciousness.  Previous research has suggested that up to 40% of conscious patients are misclassified as unconscious.

The goal is to create a more informed care plan, and earlier interventions that could improve outcomes.

16 patients with severe traumatic brain injury at MGH’s ICU were studied. At the start, 8 patients could respond to language, 3 were classified as minimally conscious with no language response, 3 were classified as vegetative, and 2 were in a coma. The study also included a healthy control group 16.

f MRI scans were performed as soon as the subjects were stable. EEG readings were usually taken within 24 hours after the fMRI scan.  Tests were designed to detect a mismatch between their ability to imagine performing a task and their ability to physically express themselves (cognitive motor dissociation.)

Through the study, researchers detected evidence of consciousness in 4 of the 8 patients who were unable to respond to language in bedside exams, including the 3 classified as vegetative. (It was also noted that 25% of the healthy controls had no detectable brain response in a hand-squeeze imagery test.)

The subjects were also exposed to brief recordings of spoken language and music during both fMRI and EEG to detect activity in certain brain regions. Higher-order cortex activity was seen in 2 additional subjects. While higher-order cortical activity doesn’t prove that a patient is conscious, finding a response in those structures could have implications for a patient’s eventual recovery.

A 19 electrode EEG device was used for the study.

Brain health company Neurosteer is attempting to gather similar neural activity data with its continuous, mobile, 3 electrode, EEG wearable.  The company’s CEO, Nathan Intrator, will present this work at ApplySci’s Wearable Tech + Digital Health + Neurotech conference, on September 19th at the MIT Media Lab.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen

Registration rates increase Friday, August 18th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY

Apple patents multi-parameter, phone-based health tracking

FacebooktwitterlinkedinFacebooktwitterlinkedin

Apple  has been granted a patent for phone technology using a front-facing camera and light, proximity, and multiple sensors to measure body fat, heart rate, circulation, blood pressure, and breathing, as well as emotional state via galvanic skin response. The device computes health data of the user based upon sensor data regarding the received light. It has been reported that Facebook and Google are also developing device driven health monitoring systems. Mindstrong Health, co-founded by former NIMH and Verily Life Science head Tom Insel, is developing phone-based technology to measure and monitor emotional and mental health. Insel will be a featured speaker at ApplySci’s Wearable Tech + Digital Health + Neurotech conference, on September 19th, 2017 at the MIT Media Lab.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen – Daniela Rus

Registration rates increase Friday, August 11th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY

 

Single blood draw detects 1250 pathogens from cell-free DNA

FacebooktwitterlinkedinFacebooktwitterlinkedin

Karius‘s  next-generation sequencing detects fragments of 1250 microbes from a single blood draw.  Identifying microbial cell-free DNA from bacteria, viruses, fungi and protozoa can facilitate the rapid diagnosis of infectious disease.  Current diagnostics only detect a narrow range of pathogens, and may require invasive biopsies.

This fast and comprehensive analysis could enable more effective, targeted treatment, and the ability to monitor infection in high-risk patients, which will save lives.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen – Daniela Rus

Registration rates increase Friday, August 11th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY

Wearable, high resolution, continuous opto-electronic monitoring

FacebooktwitterlinkedinFacebooktwitterlinkedin

MRI, disrupted.

Mary Lou Jepsen’s background in consumer electronics, computers, TV, VR, wearables, healthcare and software at Google x,  Facebook, and Oculus has led to the creation of Openwater — a company that will enable us to see the inner workings of the body and brain.  At high resolution, continuously.

Using novel opto-electronics, the company aims to replace the functionality of MRI with a wearable.  Applications include the  detection and treatment of cancer, cardiovascular diseases, internal bleeding, and brain diseases, and for communication via thought,  and potentially to upload/download and augment memories, thoughts and emotions.

The technology uses the scattering of the body or the brain to focus infrared light to scan itself, bit by bit, or voxel by voxel. This is enabled by LCDs with pixels small enough to create reconstructive holographic images that neutralize the scattering and enable scanning at MRI resolution and depth, coupled with body-temperature detectors.

These LCDs and detectors line the inside of a ski-hat, bandage or other clothing, and are designed to modulate the interference of intensity and phase in the near infrared regime with the video-rate computer generated holograms integrated with embedded detectors. The brain or body will be able to be scanned systematically or selectively. The system can be used in reverse, to focus light to any area of interest in the body or brain (for tumor treatment.)

Once again, Mary Lou Jepsen is pioneering technology that will transform — and save — lives.  We are honored to include her as a speaker at Wearable Tech + Digital Health + Neurotech Boston, on September 19th at the MIT Media Lab.

Click to view Jepsen’s talk at ApplySci’s  February, 2017 Wearable Tech + Digital Health + Neurotech Silicon Valley conference at Stanford University


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen – Daniela Rus

Registration rates increase Friday, August 4th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY

Headset-free mixed reality

FacebooktwitterlinkedinFacebooktwitterlinkedin

Disney Research’s Magic Bench is a mixed-reality technology that lets multiple users interact with animated characters, with out headsets or handheld devices.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen – Daniela Rus

Registration rates increase Friday, August 4th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY

Fractal-shaped electrodes could improve retinal implants

FacebooktwitterlinkedinFacebooktwitterlinkedin

William Watterson and Richard Taylor an the  University of Oregon are in the early stages of developing fractal-shaped electrodes for use as retinal implants to restore sight.  They believe that the square shape of previous generations of electrodes prevented their success.  (86 per cent fail.) The fractal shape mimics the design of the neurons they interact with.

In simulations, the fractal design stimulated 90 per cent more neurons in the retina, while using less voltage than a traditional implant.

The team is working on shrinking the implants before they are tested on mice — therefore the possibility of human use is far off and not guaranteed — but the concept is promising.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen – Daniela Rus

Registration rates increase Friday, July 28th.


ANNOUNCING WEARABLE TECH + DIGITAL HEALTH + NEUROTECH SILICON VALLEY – FEBRUARY 26 -27, 2018 @ STANFORD UNIVERSITY