This post is part of our series on the National Science Foundation I-Corps Lean LaunchPad class in Life Science and Health Care at UCSF. Doctors, researchers and Principal Investigators in this class got out of the lab and hospital talked to 2,355 customers, tested 947 hypotheses and invalidated 423 of them. The class had 1,145 engagements with instructors and mentors. (We kept track of all this data by instrumenting the teams with LaunchPad Central software.)
Mira Medicine is one of the 26 teams in the class. The team members are:
- Pierre-Antoine Gourraud – PhD, MPH UCSF neuroscientist and c0-leader of the MS BioScreen project
- Jason Crane – PhD UCSF Manager Scientific Software Development
- Raphaelle Loren – Managing Director – Health Practice at the Innovation Management Institute
With the Rise of AI, What IP Disputes in Healthcare Are Likely to Emerge?
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
Todd Morrill was the diagnostics cohort instructor. Matt Cooper CEO of Carmenta BioSciences was the Mira Medicine team mentor.
Multiple Sclerosis – MS
Multiple Sclerosis – MS – is an immune system disease that attacks the myelin, the fatty sheath that surrounds and protects nerve fibers of the central nervous system (brain, spinal cord, and optic nerve). T-cells, (a type of white blood cell in the immune system,) become sensitized to myelin and cross the blood-brain barrier into the central nervous system (CNS). Once in the CNS, these T-cells injure myelin, and secrete chemicals that damage nerve fibers (axons) and recruit more damaging immune cells to the site of inflammation.
Mira Medicine and Multiple Sclerosis
The team came to class with the thought of commercializing the UCSF Multiple Sclerosis BioScreen Project a Precision Medicine application that integrates a patients medical records with the latest population-based data from hundreds of other Multiple Sclerosis patients, (including their 3D MRI scans,) and using predictive algorithms makes it possible to chart a unique course of treatment for each patient. (Mira Medicine team member Pierre-Antoine Gourraud was the project co-leader.)
A Personalized Approach to Medication Nonadherence
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
Mira wanted to commercialize the UCSF Multiple Sclerosis Bioscreen project and to add additional neurological diseases which require multiple types of data (including biomarkers, clinical, and imaging). They wanted to help medical centers and large providers assess disease progression to guide therapeutic decision-making. Over the course of the class Mira Medicine team spoke to over 80 customers, partners and payers.
Here’s their 2-minute video summary
MIRA Medicine: Final Video from Ralph Guggenheim on Vimeo.
Then reality hit. First, the team found that their Multiple Sclerosis Bioscreen application (which they used as their MVP) was just a “nice-to-have”, not a “must-have”. In fact, the “must have features” were their future predictive algorithms. Next, they found that if their tool can enable a diagnosis, (even without claiming it could) then it was likely that the FDA would require a 510(k) medical device clearance. Then they found to get reimbursed they need a CPT code (and they had to decide whether to code stack – using multiple codes for “one” diagnosis, and thereby getting multiple reimbursements for one test. (The rules have changed so that code stacking is hard or impossible), Or get a new CPT code, or use miscellaneous code.) To get a new CPT and a 510(k) they would have to perform a some sort of clinical study. At a minimum a 1-year prospective study (a study to see if the neurologists using the application had patients with a better outcome then those who didn’t have access to the app). Getting approval to use an existing (aka old) CPT code means showing equivalence to an existing dx process or test, and the requirements are code-specific. Finally, to get access to data sources of other MS patients they would need to have HIPPA Business Associate Agreement.
Watch their Lessons Learned video below and find out how they pivoted and what happened.
Mira Medicine: Final Presentation from Ralph Guggenheim on Vimeo.
Look at their Lesson Learned slides below
If you can’t see the presentation above, click here
Lessons Learned
- Researchers and PI’s come in believing “My science/project/data are so good that people will immediately see the value and be willing to pay for it. It will “sell itself”.
- A business is much more than just good science: it is about customers seeing value and being willing to pay and proper validation andreimbursement coding and…
- A successful business is the sum (and integration!) of all the parts of the business model canvas.
- It includes reimbursement, regulation, IP, validation, channel access, etc.
To follow the progress of the Fall 2013 class, check out these other posts:
- Part 1: issues in the therapeutics drug discovery pipeline
- Part 2: medical devices and digital health
- Part 3: described what we’re going to do about it
- Part 4: This Will Save us Years – Customer Discovery in Medical Devices
- Part 5: Value proposition and customer segments in Life Sciences
- Part 6: Distribution channels in Life Sciences
- Part 7: Revenue Streams in Life Sciences
- Part 8: When Customers Make You Smarter: Customer Discovery in Digital Health
- Part 9: We’ve seen the Future of Translational Medicine and it’s Disruptive
- Part 10: Lessons Learned in Digital Health
- Part 11: Lessons Learned in Medical Devices
- Part 12: Lessons Learned in Therapeutics
