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Novel Blood Substitute – ErythroMer

Reporter: Irina Robu, PhD

For years, scientists have tried ineffectively to create an artificial molecule that emulates the oxygen-carrying function of human red blood cell but the efforts failed because of oxygen delivery and safety issues. Now, a group of researchers led by Dr. Alan Doctor at Washington University in Saint Louis, are trying to resuscitate blood substitutes with a new nanotechnology-based, artificial red blood cell may overcome the problems that killed products designed by a team of companies such as BiopureAlliance PharmaceuticalsNorthfield Labs and even Baxter. Dr. Alan Doctor’s new company, Kalocyte is advancing the development of the

The donut-shaped artificial cells, ErythroMer are one-fiftieth the size of human red blood cells. ErythroMer is a novel blood substitute composed of a patented nanobialys nanoparticle. A special lining and control system tied to changes in blood Ph allows Erythromer to grab onto oxygen in the lungs and then dispense the oxygen in tissues where it is needed. The new artificial cells are intended to sidestep problems with vasoconstriction or narrowing of blood vessels.

Erythromer is stored freeze dried and reconstituted with water when needed but it can also be stored at room temperature which makes it for military and civilian trauma.

Trials have been successful in rats, mice, and rabbits, and human trials are planned. However, moving Erythromer into human clinical trials is still 8-10 years away.

SOURCE

https://www.thestreet.com/story/13913099/1/human-blood-substitutes-once-dead-now-resuscitated.html

First 3D Printed Tibia Replacement

Reporter: Irina Robu, PhD

Current advances have allowed 3D printing of biocompatible materials, cells and supporting components into complex 3D functional living tissues. 3D bioprinting has already been used for the generation and transplantation of several tissues, including multilayered skin, bone, vascular grafts, tracheal splints, heart tissue and cartilaginous structures. Thanks to 3D printing, an Australian man got to keep his leg. The man, Reuben Lichter nearly lost his leg above the knee due to a bacterial infection. Doctors told him that he had osteomyelitis which infected his entire bone. Lichter’s bacterial disease of osteomyelitis affects 2 in every 10,000 people in the United States. He had two choices: an experimental procedure using the 3D printed bone or lose his leg. For Lichter, the choice was easy.

Michael Wagels who served as the lead surgeon performed the world’s first-ever transplant surgery using a 3D printed bone. The scaffold was initially modeled at Queensland University of Technology. Biomedical engineers designed the scaffold to promote bone growth around it and then slowly dissolve over time. To have the body successfully grow around the scaffold, the team introduced tissue and blood vessels from both of Lichter’s legs to the scaffold. The surgery itself happened over five operations at Brisbane’s Princess Alexandra Hospital.

However, the next major challenge for biomedical engineers is how to successfully 3D print organs.

SOURCE

https://interestingengineering.com/australian-man-gets-worlds-first-3d-printed-tibia-replacement

Walking DNA Nanorobot

Walking DNA Nanorobot

Reporter: Irina Robu, PhD

New research from California Institute of Technology headed by Anupama Thubagere and Lulu Qian built robots from DNA and programmed them to sort and deliver molecules to a specified location. These robots can potentially transform the drug delivery field to how body fights infections to how microscopic measurements are made. The dominant premise of DNA robots is that rather than creating molecular devices from scratch, we can use the power of molecular machinery by building microscopic-size robots and send them to places that are then impossible to reach, such as a cell or a hard-to-reach cancerous tumor. These robots demonstrated the ability to perform simple tasks, however this latest effort ramped up a path by programming DNA robots to perform a cargo‐sorting task and possibly many other tasks.

Each robot was built from a single-stranded DNA molecule of just 53 nucleotides equipped with “legs” for walking and “arms” for picking up objects. The robot are 20 nanometers tall and their walking strides measures six nanometers long, where one nanometer is a billionth of a meter. For the cargo, the researchers used two types of molecules, each being a distinct single-stranded piece of DNA. For the tests, the researchers placed the cargo onto a random location along the surface of a two-dimensional origami DNA test platform. The walking DNA robots moved in parallel along this surface, hunting for their cargo.

To see if a robot successfully picked up and dropped off the right cargo at the right location, the researchers used two fluorescent dyes to differentiate the molecules.

The researchers guess that each DNA robot took around 300 steps to complete its task, or roughly ten times more than in previous efforts. Though, more work is needed to figure out how these DNA robots perform under different environmental conditions. This new study suggests a worthwhile methodology for scientists to continue pursuing.

SOURCE

http://science.sciencemag.org/content/357/6356/eaan6558

 

3-D Printing in Water using Novel Hybrid Nanoparticles

Reporter: Irina Robu, PhD

3D printing has become an essential tool for fabricating different organic based materials, but printing structures in water has been thought-provoking due to lack of water soluble molecules known as photo initiators. The photo initiator can induce chemical reactions needed to form solid printed material by light.  However, researchers at the Hebrew University of Jerusalem’s Center for Nanoscience and Nanotechnology have developed a new type of photo initiator for three-dimensional printing in water. This innovative nanoparticle allows the creating of bio-friendly 3D structures.

By 3D printing in water, it also opens up the digital light processing method to medical applications, leading toward a competitive response for patient specific implants and tissues because the photo initiators cause rapid solidification of a liquid material that can create faster reactions when exposed to light. 3D printing in water opens up innovative ways for tailored fabrication of medical devices and for printing hydrogels or bio-scaffolds that are typical used in tissue engineering.

The challenge of 3D printing in water is finding an initiator that is not consumed by irradiation. However, unlike regular photo initiators, the novel hybrid nanoparticles developed by Prof. Magdassi present tunable properties, wide excitation window in the UV and visible range, high light sensitivity, and their ability to split water, and absorb oxygen molecules that typically inhibit the performance of the process. The particles added as photo initiator are semi conductive hybrid nanoparticles and are used to create high resolution 3D objects at sub-microscopic scale.

Therefore, 3-D printing in water could allow personalized fabrication of joint replacements, heart valves, artificial tendons and ligaments etc.

SOURCE

  1. https://phys-org.cdn.ampproject.org/c/s/phys.org/news/2017-08-rapid-d-hybrid-nanoparticles.amp
  2. Amol Ashok Pawar et al. Rapid Three-Dimensional Printing in Water Using Semiconductor–Metal Hybrid Nanoparticles as Photoinitiators, Nano Letters (2017)

 

 

Reporter and Curator: Dr. Sudipta Saha, Ph.D.

 

Scientists at the Stanford University School of Medicine have completed the first-ever characterization of the meticulously timed immune system changes in women that occur during pregnancy. The findings were published in Science Immunology revealed that there is an immune clock of pregnancy and suggest it may help doctors predict preterm birth.

 

The timing of immune system changes follows a precise and predictable pattern in normal pregnancy. Although physicians have long known that the expectant mother’s immune system adjusts to prevent her body from rejecting the fetus, no one had investigated the full scope of these changes, nor asked if their timing was tightly controlled.

 

Nearly 10 percent of U.S. infants are born prematurely, arriving three or more weeks early, but physicians lack a reliable way to predict premature deliveries. Previous research at Stanford and other places suggested that inflammatory immune responses may help in triggering early labor. It suggested that if scientists identify an immune signature of impending preterm birth, they should be able to design a blood test to detect it.

 

The researchers used mass cytometry, a technique developed at Stanford, to simultaneously measure up to 50 properties of each immune cell in the blood samples. They counted the types of immune cells, assessed what signaling pathways were most active in each cell, and determined how the cells reacted to being stimulated with compounds that mimic infection with viruses and bacteria.

 

The researchers developed an algorithm that captures the immunological timeline during pregnancy that both validates previous findings and sheds new light on immune cell interaction during gestation. By defining this immunological chronology during normal term pregnancy, they can now begin to determine which alterations associate with pregnancy-related pathologies.

 

With an advanced statistical modeling technique, introduced for the first time in this study, the scientists then described in detail how the immune system changes throughout pregnancy. Instead of grouping the women’s blood samples by trimester for analysis, the model treated gestational age as a continuous variable, allowing the researchers to account for the exact time during pregnancy at which each sample was taken. The mathematical model also incorporated knowledge from the existing scientific literature of how immune cells behave in nonpregnant individuals to help determine which findings were most likely to be important.

 

The study confirmed immune features of pregnancy that were already known. Such as the scientists saw that natural killer cells and neutrophils have enhanced action during pregnancy. The researchers also uncovered several previously unappreciated features of how the immune system changes, such as the finding that activity of the STAT5 signaling pathway in CD4+T cells progressively increases throughout pregnancy on a precise schedule, ultimately reaching levels much higher than in nonpregnant individuals. The STAT5 pathway is involved in helping another group of immune cells, regulatory T cells, to differentiate. Interestingly, prior research in animals has indicated that regulatory T cells are important for maintaining pregnancy.

 

The next step will be to conduct similar research using blood samples from women who deliver their babies prematurely to see where their trajectories of immune function differ from normal.

 

This study revealed a precisely timed chronology of immune adaptations in peripheral blood over the course of a term pregnancy. This finding was enabled by high-content, single-cell mass cytometry coupled with a csEN algorithm accounting for the modular structure of the immune system and previous knowledge. The study provided the conceptual backbone and the analytical framework to examine whether disruption of this chronology is a diagnostically useful characteristic of preterm birth and other pregnancy-related pathologies.

 

References:

 

http://immunology.sciencemag.org/content/2/15/eaan2946.full

 

http://med.stanford.edu/news/all-news/2017/09/immune-system-changes-during-pregnancy-are-precisely-timed.html

 

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078586/

 

http://www.nature.com/nm/journal/v19/n5/full/nm.3160.html?foxtrotcallback=true

 

https://www.ncbi.nlm.nih.gov/pubmed/14758358

 

Executive Compensation of Big Pharma in 2016 & 2017 New Teva’s CEO, Third from the Top paid among his peers

 

Reporter: Aviva Lev- Ari, PhD, RN

 

This is a QUOTE from FiercePharma

http://www.fiercepharma.com/pharma/teva-poaches-lundbeck-chief-schultz-52m-package?utm_medium=nl&utm_source=internal&mrkid=993697&mkt_tok=eyJpIjoiTkdFelpqZGxaamxoT0dNMSIsInQiOiJLcjlnb2RqQ1hWVU9IU0F4NCt3Kzl0QlNDOFh2SldHMTlyOUMzcUxMc2xZMTNHYkJzY09TOUJsRXFnZEVVYkdWNzNiVVpVY1wveDRyRUo5dWpjUWtPVmhqTmZSbzVsUFhXUDVJOTR2TkxvRWJDcnN3bjc4N0ZDd0VOUnBuN1g2dHAifQ%3D%3D

Teva enticed Schultz with a pay and welcome package worth up to $52 million, including $20 million in cash upfront, according to an SEC filing on the Monday hire. The new helmsman will also receive a restricted stock award of $5 million and two performance unit stock awards each worth $7.5 million.

Schultz’s base salary is $2 million, with an annual bonus opportunity worth 140% to 200% of his salary. Under the agreement, he’ll also receive $6 million in annual equity incentives.

For Teva, the pay will be well worth it if Schultz is able to engineer a turnaround. The Israeli drugmaker has had its stock price and business prospects battered over the last year as the generic pricing environment worsens and other threats continue to unfold. Knowing the challenges the company faced, Teva’s board said during the search that it was looking for a world-class pharma vet.

And Schultz has fixed things at an ailing drugmaker before. After Lundbeck’s former CEO stepped down and as it was laboring to launch new meds, it hired Schultz in 2015. He had already made a name for himself during a long tenure at Novo Nordisk and during his two years at Lundbeck, he won praise for improving revenue and profits.

If ranked among last year’s top-paid pharma executives, Schultz package would place him at No. 3, behind Mylan chairman Robert Coury’s $97 million and Valeant CEO Joseph Papa’s $62.7 million. Like Schultz, Papa also joined a drugmaker suffering from a barrage of negative developments in recent years.

Aside from tough pricing on generics, Teva is also dealing with a price fixing investigation and a generic threat to key multiple sclerosis drug Copaxone. The company recently kicked off a restructuring set to affect 7,000 employees around the world after its $40.5 billion buyout of Allergan’s generic business became more of a drag than a boost for the company.

 

RELATED: The top 15 highest-paid biopharma executives

SOURCE

http://www.fiercepharma.com/special-report/top-15-highest-paid-biopharma-executives

 

Teva names Danish veteran Kare Schultz as new CEO, Compensation: $52M package that makes him among pharma’s top paid

 

Reporter: Aviva Lev-Ari, PhD, RN

Teva Pharmaceutical Industries Ltd., the world’s biggest seller of generics medicines, named Kare Schultz as its new chief executive, choosing an industry veteran to navigate a series of daunting challenges, from falling drug prices to the company’s high debt.

The appointment of Mr. Schultz, a Dane, ends a months-long period during which Teva had no permanent top executive. It recently shuffled its board and is shedding assets, while coping with new competitors. Teva shares have been under pressure for months.

The new chief executive joins from Denmark’s H. Lundbeck A/S, where he was president and CEO since May 2015. He has also worked as chief operating officer of Novo Nordisk A/S, the world’s biggest producer of insulin.

SOURCE

http://www.marketwatch.com/story/teva-names-danish-veteran-kare-schultz-as-new-ceo-2017-09-11

 

Struggling Israeli Generics Maker Teva Finally Names New CEO

17th Annual EmTech @ Media Lab, MIT – November 7 – 8, 2017, Cambridge, MA – This Year’s Themes, Speakers and Agenda

Article ID #243: LIVE Day Two and Day One – 17th Annual EmTech @ Media Lab, MIT – November 7 – 8, 2017, Cambridge, MA – This Year’s Themes, Speakers and Agenda. Published on 9/8/2017

WordCloud Image Produced by Adam Tubman

MIT Media Lab
Building E14
75 Amherst Street 
(Corner of Ames and Amherst)

Themes:

  • Business Impact
  • Connectivity
  • Intelligent Machines
  • Rewriting Life
  • Sustainable Energy
  • Meet the Innovators Under 35

Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

pharma_bi-background0238

will cover in REAL TIME

The 17th annual EmTech MIT – A Place of Inspiration, November 7 – 8, 2017, Cambridge, MA

 

MIT Technology Review’s EmTech conference

 

In attendance, covering LIVE using Social Media

Aviva Lev-Ari, PhD, RN

Editor-in-Chief

http://pharmaceuticalintelligence.com

@pharma_BI

@AVIVA1950

#emtechmit

@techreview

 

https://events.technologyreview.com/emtech/17/?utm_medium=email&utm_source=press_list&utm_campaign=emtech2017&utm_term=conference&utm_content=press_credentials&discount=MEDIAM172B#section-about

 

AGENDA FOR TUESDAY, NOVEMBER 7, 2017

  • 8:00
    Registration & Breakfast
9:00
Opening Remarks – Elizabeth Bramson-Boudreau, MIT TR
  • In Media Lab – MIT and MIT Technology Review was established in 1899
  • EmTech 1999 – 100 years to MIT Technology Review
  • Innovations and pushing the boundaries
  • AI – potential and limitations
  • Climate change requires new technologies
  • Brain Technologies: Biology Vision
  • Tomorrow: emerging technologies: Cybercrime, role of technology
  • Automation and future of work
  • Partners: GE, Lamburghini
  • Lemelson-MIT
  • MITTR – Whova on AppleStore
 
9:15
The State of AI – Andrew Ng, CS.AI, Stanford University – was 2008 Young Innovator,
Founder, Deeplearning.ai; Adjunct Professor, Stanford University
 
  • Trends in AI – AI is the new Electricity
  • Deep Learning & Neural Networks (NN):
  1. Input a picture –>> output: Is it You?
  2. loan application outcome: will you repay (%)
  3. picture from car – Output GPS address –>> Supervised Learning
  4.  doing act in <1 sec of thinking
  5. training SMALL, Medium size very large NN
  6. Algorithm innovations:

Supervised Learning algorithm types:

  • Transfer Learning
  • Unsupervised learning
  • Reinforcement learning – hunger for data: i.e., robotic applications

Importance of Data accumulation for launch a Product –  Users — data growth

  • Shopping Mall + website is not equal an Internet company
  • Internet company:
  1. push data to CEOs
  2. A–B Testing
  3. Short cycle time
  4. Decisions made by PM and ERP

AI era

traditional company + NN not equal AI company

  • Strategic data acquisition
  • Unified data warehouse
  • NEW JOB DESCRIPTIONS
  • Precision automation
  • ORGANIZATION CHART to interface in a matrix with AI Teams – hire Ai in the Business Units
  • Scarce talent of AI

Discussion

  • Children MUST learn to code
  • Human-Computer communication will be by writing code
9:45
Meet the Innovators Under 35
  • Future of work
  • warranted reliant digital connectivity
 
10:30
Break & Networking
 
11:00
AI’s Next Leap Forward

Tomasso Poggio, MIT, CSAIL, BCS

  • Deep learning  – next step
  • Bet on Center Brain Mind Machines (CBMM)
  • Josh Tennenbaum at MIT
  • Autonomous Driving – Amnon Shaashua, MobilEye
  • 20 years @ MI AI: Dailmer and MIT — detection of pedestrans
  • Powerful computers and algorithms – Reinforcement Learning Networks (Brain Science), models of Vision and Deep Learning Networks – WHEN they work?
  • Building Jarvis – a buttler application in AI built by Marc Zukenberg
  • NeuroScience – MobilEye, AlphaGo
  • CBMM – NSF $50 Million in AI funding  – Science of Intelligence and Engineering of Intelligence
  • MIT & Harvard plus several organization
  • Business Partners: MS Soft, Google bought MobilEye,
  • Center for Visual Gaze – 200 msec of visual processing
  • ERGO SUM: toward symbols, Cognitive core, visual system, Brain OS – running routines
  • Breakthroughs: Theory: under which conditions,
  1. Learning theory
  2. optimization Approximation Theory: Deep vs Shallow networks
  3. Intelligence is greatest problem to solve it is like LIFE, Tomasso Poggio, MIT, CSAIL, BCS
  4. machine can help human to think better, long time horizon is needed,

Kris Hammond, Prof. Northtwestern University

  • Data analytics and Ideas
  • words vs language – past, present, future – uniquely HUMAN, now machine language is Human Partner
  • language vs Ideas
  • machines knows a lot
  • facts, dat move to narrative
  • Language is understanding
  • FIN information: Decisions about allocations,
  • Turbidity data on the beach in Chicago: Which Beach is the cleanest vs the dirtiest
  • NARRATIVE ANALYTICS: data that machine can tell us what it has as a story and presented as intelligent language,

    Cognitive Science application to autonomous driving – Yibio Zhau, Tennenbaum Lab @MIT, ISEE.AI, Computer vision, Cognitive Science

  •  interpulate and extrapulate data needed for autonomous driving
  • reasoning beyond the system: Human intelligence , intentional reasoning, pattern recognition,
  • Ali baba – funding building of a Robot for autonomous driving – understanding by imagining – causes for behavior by others
  • ISEE – Next generation of AI — driving drivessless ly for thousands of miles
  • Car to car communication is a sensoring issue, negotiation need to be taught to machines

Young Scientists 35 years old or less

Austin Olson, Luminar – object detection 99% accuracy,

Angella Schoellig — Roborts, Prof. University of Toronto, robots in predictable environments

Lorenz Meier — Vertical Technologies – Drones and safety – DB of flights

12:30
Lunch & Networking
2:00
Adapting to the reality of climate change

Lee Krevat, Sempra –

owns Wind Farms- managing a Grid with renewable energy. Variable – Wind technology wind is variable – if wind blows too much switch to diesel. 100% renewable for one hour on Islands

 
Growth area:
  1. 20 cents diesel, wind is 10 cents help the enviroment

mainland, not yet used, price diesel vs wind

Solar wind generation – next biggest Technology in Energy

 
and
 

Alex Tepper,Avetars

Robotics, Drones, AI and the Future of Energy – A start up incubator sponsored and funded by GE
  • RAIL – Predict derailments
  • OIL & GAS – corrosion is the enemy — knowledge of corosion progression – using AI algorithms

Growth area: Aviation

John Holdren – Harvard University – Government  Role in ENERGY and Climate Change – Obama’s advisor Presidential CSO on Climate and energy

  • mitigation
  • adaptation
  • suffering – shortcomings of mitigation and adaptation
  • harm of business as usual
  • Efficiency standards during Obama Administration, assistance to other countries led to the Agreement in Paris 195 countirs — agreement to reduce emission. China and US declare cooperation on emission of gases into the environment.
  • PRESIDENT TRUMPS CALLED CLIMATE CHANGE A HOAX  – proposed to cut energy R&D
  • All executive orders by Obama – were reverted by Trump
  • Innovations: Electricity from Solar increase and wind as well and batteries
  • Carbon capture and storage – technological challenge
  • Biofuel processing, liquid bio fuel
  • Nuclear innovations to nuclear waste
  • 2100 – 5% on defense and 2% on the environment – model under estimate the contribution of innovations for the long run.
  • 1000 businesses in deployment of technologies

Evelyn wang, MIT – Material Science – Sustainable energy – nano

  • material properties: superior properties of LOW DENSITIES
  • Light manipulation
  • membrane
  • CO2 capture
  • Technologies: Nnao, Thermoelectronics, energy and water
  • Solar 6% and wind 21%, biomass 5%voltaic
  • SOlar eneconversion
  • PHOVOLTAIC: SCALBALE, SOLID STATE, INTERMITTENT, PARTIAL SOLAR SPECTRUMrgy
  • Nanophotonics: Solar energy conversion: photo
  • Nano absorber – area ratio; Emitter: silicon and silicon  – spectral approach
  • potential STPVs
  • Transportation using energy with emission
  • Power consumed by HVAC
  • Thermal Battery for Electric Vehicle: Adsorption Heating and Cooling
  • Desorption vs Adsoption: cooling vs Heating mode
  • High capacity adsobents – Zeolite  MOF enhancing capacity heat and mass transport
  • Tmal Battery Prototype: Hybrid, electric, stationary domestic HVAC.
  • Water harvesting from Air – metal organic Frameworks: Adsorption – harvest water without need of additional electricity
  • Opportunities for Advanced Materials

Prof. David Keith, Harvard University

  • technologies to stop global changing
  • research program
  • stratospheric aerosol cool planet – pollution masking global warming
  • solar geo-engineering, vs emission cut 3x BAU vs business as usual
  • Annual maximal Temperatures, extreme precipitation,
  • carbon emission worm up vs climate risk in Time
  •  use of technology for climate change mitigation: carbon removal
  • Solar engineering is the solution
 
3:30
Break & Networking
4:00
Meet the Innovators Under 35
 

Next Generation Brain Interfaces

Andrew Schwartz, University of Pittsburg

  • Causality is obscure
 
5:30
Lemelson-MIT Prize Honors & Reception
 
Lemelson-MIT Prize Honors Feng Zhang, MIT with the Prize for contributions to CRISPR Applications as a therapeutics method in genomics
 
 

AGENDA FOR WEDNESDAY, NOVEMBER 8, 2017

  • 8:00
    Registration & Breakfast
9:00 Elizabeth Branson
 
9AM – 9:30AM Robots and AI in Everyday Life

Daniela Rus, CSAIL, MIT – Robots: drones, 3D Printing

hosted by David Rotman, MIT TR

  • supply chain and transportation – city will benefit from a different business model
  • autonomous driving deployed in Singapore
  • all vehicles on wheels can be made autonomous
  • blind – camera on a belt assists in navigation
  • ML: Patterns and predictions
  • AI – reasoning
  • robots: motion
  • Machine read entire libraries
  • Radiology: Read by machines vs by Radiology: AI  + Human — 0.5% error
  • Rural area medicine
  • Machines – Better Lawyers: NLP – read precedents to cases, machines can’t write a briefing or defend a plaintif
  • Factory and Automation: Robots roles – enable mass OPTIMIZATION  not only mass production
  • Machines do not have common sense and do not have ability to reason
  • crunching data vs analysis
  • JOB Categories:Tasks vs Professions: Routine data processing and labor task — are ready for automation
  • NEW jobs: User experience designer, GPS enable taxi drivers to drive and drove pay scale down
  • GDP – decreased 1966 – 2016
  • KY school to train coal miners to do data processing to become CODERS
  • JFK – new machines brings man back to jos – new jobs
  • AI supports NEW jobs: CS/AI part of literacy
  • people and machines – in collaboration

discussion

  • Who to make the transition?
  • CODING is key – people must be active in keeping up and continue to train
  • make it easy to make machines, interactions Man-Machine easier,
  • YOU ARE WRONG SIGNAL IS recognized by EEG
  • AI and Future of Work Conference at MIT – anxiety related to job changing due to technology
  • Technology can’t solve all problems, Technology helps, Technology implications on Policy – technology as a unifier societal force not a dividers
  • Transportation as Utility
 

9:30 – 10:00 AI and the Future of Work

Iyad Rahwan, MIT Media Lab, Introduction by Elizabeth Woyke, TR

  • Physical Therapist — will not be replaced by computerisation
  • Probability of computerisation: Skilled cities are better at economics shocks
  • Adam Smith – simple operations
  • Differential Impact from Automation on Cities – the larger the city more resilient to automation
  • City size vs clusters of occupations — cluster grow with city size
  • Impact on Middle Class vs Lower and Upper: low paying jobs, middle and high
  • Skills in Occupations: mapping SkillScape correlations with Education
  • Skills in demand

discussion

  • Urbanization took place – 80% live in cities around the World
  • Outliers in CIties by size and Skills: Boulder, CO – small size very skilled labor, politics support start ups and high tech

10AM – 10:30AM

Meet the Innovators Under 35

  • Tracy Chou – ProjectInclude – diversity
  1. All about data
  • Olga Russakovsky – Princeton University – Computer vision
  • AI for education of under privileged high school
  1. IM-GENET – Data sets encode human biases
  2. AI is powered by Data
  3. AI learns societal  biases
  4. Researchers shape AI
  • 10:30

    Break & Networking

     
  • 11:00 – 11:30 What is Social Media Doing to Society?
 Yasmin Green, Jigsaw, Google
  • 300 million reach of Ads posted by Google in the Internet
  • Fake news
  • Network shape
  • Veracity and popularity personalized
Hosted by Martin Giles, TR
 
  • e 11:30 – 11:45 Meet the Innovators under 35
  • Phillipa Gill  – UMass CS – Project of Network measurement on censorship measurement platforms
  • Joshua Browder – DoNotPay

11:45 – 12:00 The Emerging Threat of Cybercriminal AI

Shuman Ghosemajumder, Shape Security

Hosted by Martin Gile

  • CyberCrime is evolving using AI – Imitation Game – Turing Test restricted Turing Tests
  • Computer vision, Solving CAPUTRE – Copletely Automated Turing  Tests
  • CAPTCHA by Google
  • Credential Stuffing Accounts Attacks – SONY was hacked and 93,000 Passwords stolen
  • Clip Farms at Google
  • BLACKFISH – identify Credential Stuffing Accounts Attacks, all invalid password are not valid to be used by cyber attackers again – that authentication is no longer valid
  • Multi Factors Authentications vs ease of use to Log In
  • Knowledge Basis – Probabilistic  SYmbols – BlackFISH – technological advantage – iPhone stores a math formulation of characteristics of the finger print not the image of the fingure
  •  12:00
    Lunch & Networking – Lamborghini -super sport car
     
1:30 – 2PM
Technology Spotlight: Mind-Controlled VR
Ramses Alcaide, Neurable
Hosted by Rachel Metz, TR
  • Killer Platforme ==>Killer Interaction ==>Killer application
  • Reactive ==> Proactive
  • Brain Computer Interaction (BCI) – maximum Privacy no voice involved like in SPeech
  • Voice, Motion Tracking, eye tracking
  • Human intentionality – a World without limitations
  • NASA is a client
  • consol technology for navigation, typing,
  • Problems: Add to glasses or as an Ear piece
  • the signal is ACTION POTENTIAL
  • latency differences between individuals
  • Non-invasive to invasive to capture signals
 
2:00 – 2:30 Capturing Our Imagination:: Evolution of Brain-Machine Interfaces
Mary Lou Jepsen, Openwater
Hosted by Antonio Ragalado, TR
  • Using functional MRI technology for a NEW device to scan emotions rather than medical diseases
  • HOLOGRAPHY of the Brain – liquid crystal display is like transistors on a chip
  • OPTICS – DISCONTINUITY of Moore’s law – high resolution like functional MRI
  • Holographic LCD – scattering material VOXEL detector – measure intensity of light, no resolution, consumer camera speed OK Inexpensive
  • Human body scattering
  • HAT and Bandage
 
2:30 – 3PM Future of Work – REWARD DISOBEDIENCE –
 
New Prize of $250,000  – Ethics and governance in AI at MIT Media lab
 
Reid Hoffman, Greylock Partners Founder LinkedIn
conversation with Joi Ito, MIT Media Lab
  • Tell the Truth
  • Media Lab — a Non-disciplinary place
  • Universities play a role in Social Justice
  • FEAR of AI:
  1. For profit will own it all
  2. stupid AI will govern
  3. displace work
  4. espionage
  5. catalytic institute that will make a contribution to OPENNESS vs technological dominance

Joi Ito, MIT Media Lab: AI problems –

  • MUST be democratized – Now it is in the hands of very FEW
  • RISK SCORES can’t be contested in court because they are IP of for profit companies
  • Joi Ito, MIT Media Lab at MIT do good to Society vs make the most of money which the majority are doing
  • AUTONOMICH vs autonomous agents, said Joi Ito, MIT Media Lab – Hoffman: Design goals more symbiotic: Scaling, more productive, Season 2 launched today
  • Design principle – LEARNING vs EDUCATION, Joi Ito, MIT Media Lab

Hoffman on AI Technologies

  • shaping it to avoid catastrophic negatives
  • provide a public good via participation
3:00
Break & Networking
 
3:30 – 4 Big Problems, Big Data Solutions
Deb Roy, MIT media Lab
 
  • Tweets and News, Washington Post – Tracking tweets from US on Politics related to the Elections
  • National memory on Guns, Immigrations
  • Debate brief from tweets and News rooms
  • topic classifier,  Campaign finance, SHARE OF COVERAGE IN NEWS, SHARED OF VOICE ON TWITTER
  • deep neural network training algorithms
  • Passion Gap: cut data on Twitter – Trump supporters exhibited x2 fold energy vs the Democratic candidate
  • How does Media flow: Sanders, Clinton, Trump – each is a Media Source
  • Truth, Trust, Attention  – Fact checking
  • If Trust the source then I believe it is True
  • Public Opinion: The Politics of Resentment in Rural WI – Katherine Cramer
  • Listening Networks: Human- Human Interaction: Media sharing network – change week by week – the MOST innovative methodology developed to date for Public Opinion – presentation by
    Deb Roy, MIT media Lab  – using deep Neural network training
     
  1. main stream
  2. conservative
  3. liberal activist
  • Health Indicators:
  • Shared attention
  • Shared Reality
  • Varied Perspective – surface under-heard voices
3:30 – 4
Meet the Innovators Under 35
 
1. Svenja Hinderer, Germany
  • Valve – development of Tissues, biochemical properties
  • signaling molecules
  • mechanical strength – physiological
  • Attrach stem cells – proper matrix formation
  • Functional implants
 
2. Viktor Adalsteinsson
  • Cancer Precision medicine – Liquid biopsy – tumor mutations
  • entire Cancer Genome – from blood biopsy
  • Scaling: Broad Institute 100 collaborators – 3,000 blood sample genomical analysis
 
 
2.Tallis Gomes, CEO Entrepreneur, Brazil
  • Easy Taxi
  • Fighting inequality
  • 15Billion – Beauty Market
 
 
3. Abidigani Diriye
  • IBM Research Africa – 300 million adults – lack of access to financial services
  • Univesities, Government  – start ups to scale ideas
 
 
Eyad Janneh
 
  • 5:00
    2017 Innovator Under 35 Awards & Reception
  1. Speakers
    • Viktor
      Adalsteinsson

      Group Leader, Broad Institute of MIT and Harvard

      2017 Innovator Under 35

    Gene
    Berdichevsky

    CEO, Sila Nano

    2017 Innovator Under 35

    • rechargeable battery
    • new class of materials charge and discharge in battery
    • store more energy
    • more better designed electronics: electrified flight, solar, car: Hybrid and electric
    • 21st Century belongs to electrification vs combustion in the 20th century,

      Gene
      Berdichevsky

      CEO, Sila Nano

    • Tracy
      Chou

      Founding Advisor, Project Include

      2017 Innovator Under 35

    • Adrienne
      Felt

      Software Engineer, Google

      2017 Innovator Under 35

    • Phillipa
      Gill

      Assistant Professor, University of Massachusetts, Amherst

      2017 Innovator Under 35

    • Tallis
      Gomes

      CEO, Singu

      2017 Innovator Under 35

    Kathy
    Gong

    CEO, WafaGames

    2017 Innovator Under 35

    • GAMING SWARD OF GLORY – EPIC NEW RTS EXPERIENCE – WAFA GAMES IN CHINA
    • Ian
      Goodfellow

      Staff Research Scientist, Google Brain, development occurred at OpenAI

      GAN’s – Generative Adversarial Network – from AI Optimization to Game Theory

      2017 Innovator Under 35

    • Yasmin
      Green

      Director of Research and Development, Jigsaw at Google

      Addressing Online Threats to Global Security

    • Kris
      Hammond

      Chief Scientist and Cofounder, Narrative Science

      AI’s Language Problem

    • Svenja
      Hinderer

      Scientist, Fraunhofer IGB

      2017 Innovator Under 35

    • Reid
      Hoffman

      Cofounder, LinkedIn; Partner, Greylock Partners

      The Future of Work

    • John
      Holdren

      Professor, Harvard University

      Climate Disruption: Technical Approaches to Mitigation and Adaptation

    • Joi
      Ito

      Director, MIT Media Lab

      The Future of Work

    • Mary Lou
      Jepsen

      Founder, Openwater

      Capturing Our Imagination: The Evolution of Brain-Machine Interfaces

    • David
      Keith

      Professor, Harvard University; Founder, Carbon Engineering

      The Growing Case for Geoengineering

    • Neha
      Narkhede

      Cofounder and CTO, Confluent

      2017 Innovator Under 35

    • Andrew
      Ng

      Founder, Deeplearning.ai; Adjunct Professor, Stanford University

      The State of AI

    • Tomaso
      Poggio

      Investigator, McGovern Institute; Eugene McDermott Professor, Brain and Cognitive Sciences, MIT

      Understanding Intelligence

    • Olga
      Russakovsky

      Assistant Professor, Princeton University

      2017 Innovator Under 35

    Michael
    Saliba

    Marie Curie Fellow, EPFL

    2017 Innovator Under 35

    • disruptive technology in the energy space
    • Gang
      Wang

      Chief Scientist, Alibaba

      2017 Innovator Under 35

    • Jianxiong
      Xiao

      Chief Executive Officer, AutoX, Inc.

      2017 Innovator Under 35

      CAMERA-first solution affordable self-driving

  2.  

cell-free DNA (cfDNA) tests could become the ultimate “Molecular Stethoscope” that opens up a whole new way of practicing Medicine

 

Reporter: Aviva Lev-Ari, PhD, RN

The first commercial application of cfDNA sequencing debuted in 2011. New blood tests can identify Down’s syndrome and similar genetic conditions during the first months of pregnancy by checking the fetal DNA in the bloodstream of a pregnant woman. (Anywhere from 10 to 15 percent of the DNA in a pregnant woman’s blood comes from the placenta, which is genetically similar to the fetus.) These maternal blood tests are fast replacing less-accurate procedures, such as ultrasound plus blood analysis.

More recently, researchers have started looking at cfDNA to develop so-called liquid biopsies, which analyze a tumor’s genetic makeup or look for evidence of a cancer recurrence. Tumors often spill DNA into the blood as they grow and divide, and because they are usually riddled with mutations, their scrambled DNA is clearly different from that found in normal DNA fragments. The first liquid biopsy test was launched only three years ago; although they are not yet part of routine care, the field is growing quickly. One company says it will give liquid biopsy tests to one million people in the next five years, and another has raised nearly $1 billion for its studies.

A similar cfDNA method is being tested for newly transplanted organs, which are at risk of being rejected by the recipient’s immune system. Currently, transplant doctors check a transplanted organ’s health by performing repeated biopsies, which are expensive and invasive. After a transplant small amounts of donor DNA from the new heart or kidney, for example, circulate in the blood as part of the normal process of cell birth and death. If the host immune system attacks the foreign organ, the proportion of donor DNA increases as more and more foreign cells die. One company, CareDx, already sells a test that picks up on that change for people who have had kidney transplants.

The researchers invented a way to boost the signal by reducing human DNA in blood samples. Their spin-off company, Karius, launched a test earlier this year to identify bacteria, fungi, viruses or parasites in hospitalized patients. It can spot infections in organs that are too dangerous for biopsies, including the lung and the brain, Kertesz says—and it is most useful for people with mystery infections or who are too sick to endure a surgery.

cell-free DNA tests in the future include stroke, or autoimmune conditions such as lupus

 

SOURCE

One Test May Spot Cancer, Infections, Diabetes and More

Researchers are starting to diagnose more ailments using DNA fragments found in the blood

https://www.scientificamerican.com/article/one-test-may-spot-cancer-infections-diabetes-and-more/

Understanding of the Brain Basis of Emotion: Capture the Emotional States that underlie Moods, Brain Activity and Expressive Signals – Berkeley Study in PNAS

Reporter: Aviva Lev-Ari, PhD, RN

 

 

Self-report captures 27 distinct categories of emotion bridged by continuous gradients

  1. Alan S. Cowena,1 and
  2. Dacher Keltnera

http://www.pnas.org/content/early/2017/08/30/1702247114.abstract

 

Significance

Claims about how reported emotional experiences are geometrically organized within a semantic space have shaped the study of emotion. Using statistical methods to analyze reports of emotional states elicited by 2,185 emotionally evocative short videos with richly varying situational content, we uncovered 27 varieties of reported emotional experience. Reported experience is better captured by categories such as “amusement” than by ratings of widely measured affective dimensions such as valence and arousal. Although categories are found to organize dimensional appraisals in a coherent and powerful fashion, many categories are linked by smooth gradients, contrary to discrete theories. Our results comprise an approximation of a geometric structure of reported emotional experience.

Abstract

Emotions are centered in subjective experiences that people represent, in part, with hundreds, if not thousands, of semantic terms. Claims about the distribution of reported emotional states and the boundaries between emotion categories—that is, the geometric organization of the semantic space of emotion—have sparked intense debate. Here we introduce a conceptual framework to analyze reported emotional states elicited by 2,185 short videos, examining the richest array of reported emotional experiences studied to date and the extent to which reported experiences of emotion are structured by discrete and dimensional geometries. Across self-report methods, we find that the videos reliably elicit 27 distinct varieties of reported emotional experience. Further analyses revealed that categorical labels such as amusement better capture reports of subjective experience than commonly measured affective dimensions (e.g., valence and arousal). Although reported emotional experiences are represented within a semantic space best captured by categorical labels, the boundaries between categories of emotion are fuzzy rather than discrete. By analyzing the distribution of reported emotional states we uncover gradients of emotion—from anxiety to fear to horror to disgust, calmness to aesthetic appreciation to awe, and others—that correspond to smooth variation in affective dimensions such as valence and dominance. Reported emotional states occupy a complex, high-dimensional categorical space. In addition, our library of videos and an interactive map of the emotional states they elicit (https://s3-us-west-1.amazonaws.com/emogifs/map.html) are made available to advance the science of emotions.

http://www.pnas.org/content/early/2017/08/30/1702247114.abstract

 

Semantic atlas of human emotions

Three separate groups of study participants watched sequences of videos, and, after viewing each clip, completed a reporting task. The first group freely reported their emotional responses to each of 30 video clips.

“Their responses reflected a rich and nuanced array of emotional states, ranging from nostalgia to feeling ‘grossed out,’” Cowen said.

The second group ranked each video according to how strongly it made them feel admiration, adoration, aesthetic appreciation, amusement, anger, anxiety, awe, awkwardness, boredom, calmness, confusion, contempt, craving, disappointment, disgust, empathic pain, entrancement, envy, excitement, fear, guilt, horror, interest, joy, nostalgia, pride, relief, romance, sadness, satisfaction, sexual desire, surprise, sympathy and triumph.

Here, the experimenters found that participants converged on similar responses, with more than half of the viewers reporting the same category of emotion for each video.

The final cohort rated their emotional responses on a scale of 1 to 9 to each of a dozen videos based on such dichotomies as positive versus negative, excitement versus calmness, and dominance versus submissiveness. Researchers were able to predict how participants would score the videos based on how previous participants had assessed the emotions the videos elicited.

VIEW VIDEO

Human nature is often portrayed as selfish and power hungry, but research by Dacher Keltner finds that we are hard-wired to be kind.
Credit: Fig. 1 by University of California

https://www.universityofcalifornia.edu/news/emoji-fans-take-heart-scientists-pinpoint-27-states-emotion?utm_source=fiat-lux&utm_medium=internal-email&utm_campaign=article-general&utm_content=text

SOURCES

Emoji fans take heart: Scientists pinpoint 27 states of emotion Friday, September 8, 2017

https://www.universityofcalifornia.edu/news/emoji-fans-take-heart-scientists-pinpoint-27-states-emotion?utm_source=fiat-lux&utm_medium=internal-email&utm_campaign=article-general&utm_content=text