the brain revolution michael sughrue, md · •university tech transfer •70% (or more) inventor...
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The Brain RevolutionMichael Sughrue, MD
The Most Complex Device Imaginable
1 Billion Neurons10,000 connections per neuronFunction changes several times a sec
1850’s model of the brain
In 2019…
In our clinic this year alone
Doctors still don’t have access to satisfying brain imaging tools. This results in nearly all patients with brain diseases to be treated without having a clear understanding how their brain is functioning or how it is connected.
Outdated technologies, diagnosis based on discussion alone, drug treatment without a clear plan lead to suboptimal patient care and outcomes.
John was told after having surgery that his brain tumor couldn’t be removed, extinguishing any hope of survival.
Emilia visited 14 doctors, each unable to give her answer as to why she was in severe pain.
Cathy was told that the brain damage she incurred would result in her never being able to walk again.
Functional Resonance Imaging (fMRI) Over 500,000 published studies.
Diffusion Tensor Imaging (DTI)Over 17,000 published studies
Connectomic Brain Mapping
Transcranial Magnetic Stimulation (TMS)Over 16,000 clinical trials and case studies.
A gap exists between what research is bringing and what doctor can use
Taking a knife to a GunTank fight
• Epic Problems• Mental illness• Brain cancer• Dementia• Traumatic brain injury• Chronic pain• Coma• Stroke
• 40% of humanity
• Few options
• Extreme complexity
• Preposterous tools• Verbal history
• Visual observation
• Images which show the brain’s shape
• A few lab tests
• Doctors use ~10 data points in a 5 million dimensional problem
It isn’t Brain surgery to realize this is madness
An ongoing catastrophe
Disorder % population Patient in the US*
Brain Cancer 0.02% 78,980
Depression 8.7% 28,500,000
Chronic Pain 5.8% 19,000,000
Strokes 0.24% 795,000
Trauma 0.86% 2,800,000
Epilepsy 1.04% 3,400,000
Fibromyalgia 3.06% 10,000,000
Alzheimer’s 1.53% 5,000,000
Autism 1.7% 5,500,000
OCD 2.5% 8,200,000
ADHD 1.87% 6,100,000
Total 27.32% 89,373,980
*Statistics are consistent across countries
Right now
John is being told his tumor could not be removed last surgery
Emilia is being told by doctor #14 that they don’t know what’s wrong with her
Cathy is being told that she will never walk again
Millions of lives are spiraling out of control from mental illness
It’s time to stop wasting time making a better Facebook...and do something that matters..
What if….?
Neurotechnology could make that all false…tommorrow
How did this happen?
• A case study about• Failure to translate
• A Misallocation of resources (and values)
• How good tech teams fail to make med tech meaningful products
Tech revolution
BlockchainAI
IOT Machine Learning
Actually in Daily Medical practice
BlockchainAI
IOT Machine Learning
An article of faith..
• “AI and Machine learning will change medicine”
Less clear
• What exactly will change what?
• What is the goal?
• What problem does it solve?
Lasers which cut butter
“Hi, do you have any interesting projects for my AI group”
A fancy solution to something we are good at
Don’t speak the same language
Might be the wrong person-Famous ≠ creative
A litany of Butter cutting lasers
• AI which makes diagnoses
• AI which reads images
Successful Innovation in medicine
• Historically• Has been driven by doctors
• Aimed at a specific problem- not big concepts
• Makes something possible• Medicine is very good at refinement
• What doesn’t ever… ever…. ever work• Industry driven concepts
• Years of refinement in the lab
• Adding steps
Ideas squandered..?
• University Tech transfer• 70% (or more) inventor share
• University bureaucracy
• Advisors with no personal stake
• Industry• R&D is dwarfed by sales force
• MD’s in business • Large number haven’t really practiced
Why the tech revolution missed the brain
Production process in Isolation
Inconsistent Outcomes
Wrong problemsWrong applicationsWrong outputWrong deliveryWrong MD consultants
Software World
Clinical world
Pretty software that doesn’t solve problems
Ideal Outcomes
Clinical Decision Process
Information gap
Why I learned to code
• Brain tumor surgeon• One of the largest practices in the US
• Published 250 papers thus far
• Just wanted to know where to not cut brain
Our Maps
SLF/Arcuate
State of Neurotechnology
Vast Majority of hospitals cannot get thisBeen in the lab for 30 years500,000 papersResearch subjects get better images than patients
Depression is 4 diseases
Misguided priorities
• More important priorities for AI/ML• Making banks wealthier
• Sorting social media posts
• Ad targeting
• Less important priorities• Helping doctors make better decisions
• Solving mental illness
The Connectome revolution…
What we get now • What we actually need
Shape of the brainThe wiring diagram, how it functions, and what this might mean
The data we are not getting
• HCP: 1200 scans
• Oasis Database: 1098 scans
• ADNI: 1000 scans
• Schizconnect: 1362 scans
Number of scans in current datasets
• 4 hospitals: 240 scans/day
Daily brain scans at our Chinese Pilot hospitals
Data models are DIY
The future of connectomics is obvious
Data models are professionally done
User-friendly Products….
Maps the brain to the Human connectome project scheme using data not an atlas. Can map deformed brains.
If the brain has reorganized and functional areas have moved, this will find them
Automated Brain Mapping
Functional Tract Selection
• 3 Breakthroughs
We can display brain networks and their connections from a pull down menu
AI Displacement Prediction
Not only do they find the problem, but can be used to solve it .
Built by experts… delivered anywhere
We made the largest atlas in the world about the brain’s connections. All of it is in our software
• Anatomic Detail
Unprecedented Detail
370 unique areas studied in our software. We know what most of them are doing
Cutting edge classification
If it is published somewhere and is useful, we are doing it
Levering progress
Pioneering field of medicine
Connectomics is new. We know it as well as anyone
Changing neuroscience now
• 10 year timeline is unacceptable• 6 month conception to launch
• Making the right thing financially sound
• Redirecting ML/AI to something that matters
• Time to stop wasting time making a new Facebook