The document proposes a diagnostics platform that leverages personal glucose meters to directly read out target concentrations from patient samples. This allows for therapeutic drug monitoring, clinical trial companion diagnostics, and medical diagnosis of many diseases.
Initial targets were diabetes patients to measure HbA1c using existing glucose meters. However, drug monitoring during clinical trials and after market approval emerged as a better fit due to meeting value propositions of immediacy, low cost, convenience, and allowing for more frequent testing.
Partnering with pharmaceutical companies provides financial support and an outlet to sell final products. Glucose meter companies and pharmaceutical companies are key customers and markets due to improved drug development and clinical trials from fast, low-cost monitoring improving
Medical research is published with tremendous speed, making it nearly impossible for a doctor to keep up. Artificial Intelligence could be the answer. The growing amounts of available data enables the use of artificial intelligence in health care, as well as the increasingly sophisticated machine learning algorithms. Yet relatively little of these methods are used in health care.
Healthcare stands to gain significant ground with the help of domain-specific AI capabilities that were historically powered by humans. As a result, the next generation of healthcare has already begun, and it’s being revolutionized by AI.
Medical research is published with tremendous speed, making it nearly impossible for a doctor to keep up. Artificial Intelligence could be the answer. The growing amounts of available data enables the use of artificial intelligence in health care, as well as the increasingly sophisticated machine learning algorithms. Yet relatively little of these methods are used in health care.
Healthcare stands to gain significant ground with the help of domain-specific AI capabilities that were historically powered by humans. As a result, the next generation of healthcare has already begun, and it’s being revolutionized by AI.
Feasibility Solutions to Clinical Trial Nightmaresjbarag
Slow patient recruitment and poor retention cause recurrent nightmares and perpetual problems often resulting in missing recruitment milestones. The cost of these delays represents hundreds of thousands of dollars for drug and device developers. By recognizing this issue, early detailed feasibility can provide planning and contingency solutions that are focused on reducing the impact of delayed recruitment. Furthermore understanding what motivates investigators and patients to actively participate in clinical studies and how patient recruitment strategies and materials can support all stakeholders to complete studies on time are critical aspects of clinical study delivery planning.
During this presentation, an experienced Premier Research feasibility and patient recruitment specialist, reviewed feasibility approaches to address protocol evaluation as well as addressed influences on country selection, site distribution and patient recruitment strategies to provide for more effective clinical trial planning and conduct.
For more information, go to http://www.premier-research.com.
Understanding cookies and cookie poolsVijay Sankar
Cookies are the back bone of many platforms in digital marketing and advertising domain. This presentation looks into what cookies are, cookie pools and upcoming tracking mechanisms
Digestive Problems in GP part 2 – By Prof.Dr.R.R.Deshpande
• These ppts will be very useful for Medical students & New Practioners ,for rapid revisions of topic & as ready reference through their smart phones .This ppt contains 9) Dysphagia 10) Pain In Abdomen 11) IBS 12) Jaundice 13) Peptic ulcer
• Visit – www.ayurvedicfriend.com M- 9226810630
Analysis of what patient services proposed by pharma companies should be. This document explains: 1. why patient centricity is essential? - 2. how to craft a patient-centric strategy? - 3. How to implement patient-centric initiatives?
5 Powerful Real World Examples Of How AI Is Being Used In HealthcareBernard Marr
Healthcare can be transformed with the innovation and insights of artificial intelligence and machine learning. From robot-assisted surgery to virtual nursing assistants, diagnosing conditions, facilitating workflow and analyzing images, AI and machines can help improve outcomes for patients and lower costs for providers.
Describes in detail definition, purpose, participants and goal of good clinical practices (GCP). Gives history of GCP staring form Nuremberg code in 1948 to implementation of GCP guidance via WHO handbook in 2005. Also describes Nuremberg's code, declaration of Helsinki and Thirteen principles of GCP.
Feasibility Solutions to Clinical Trial Nightmaresjbarag
Slow patient recruitment and poor retention cause recurrent nightmares and perpetual problems often resulting in missing recruitment milestones. The cost of these delays represents hundreds of thousands of dollars for drug and device developers. By recognizing this issue, early detailed feasibility can provide planning and contingency solutions that are focused on reducing the impact of delayed recruitment. Furthermore understanding what motivates investigators and patients to actively participate in clinical studies and how patient recruitment strategies and materials can support all stakeholders to complete studies on time are critical aspects of clinical study delivery planning.
During this presentation, an experienced Premier Research feasibility and patient recruitment specialist, reviewed feasibility approaches to address protocol evaluation as well as addressed influences on country selection, site distribution and patient recruitment strategies to provide for more effective clinical trial planning and conduct.
For more information, go to http://www.premier-research.com.
Understanding cookies and cookie poolsVijay Sankar
Cookies are the back bone of many platforms in digital marketing and advertising domain. This presentation looks into what cookies are, cookie pools and upcoming tracking mechanisms
Digestive Problems in GP part 2 – By Prof.Dr.R.R.Deshpande
• These ppts will be very useful for Medical students & New Practioners ,for rapid revisions of topic & as ready reference through their smart phones .This ppt contains 9) Dysphagia 10) Pain In Abdomen 11) IBS 12) Jaundice 13) Peptic ulcer
• Visit – www.ayurvedicfriend.com M- 9226810630
Analysis of what patient services proposed by pharma companies should be. This document explains: 1. why patient centricity is essential? - 2. how to craft a patient-centric strategy? - 3. How to implement patient-centric initiatives?
5 Powerful Real World Examples Of How AI Is Being Used In HealthcareBernard Marr
Healthcare can be transformed with the innovation and insights of artificial intelligence and machine learning. From robot-assisted surgery to virtual nursing assistants, diagnosing conditions, facilitating workflow and analyzing images, AI and machines can help improve outcomes for patients and lower costs for providers.
Describes in detail definition, purpose, participants and goal of good clinical practices (GCP). Gives history of GCP staring form Nuremberg code in 1948 to implementation of GCP guidance via WHO handbook in 2005. Also describes Nuremberg's code, declaration of Helsinki and Thirteen principles of GCP.
Appalla Venkataprabhakar and I presented this at the Oracle\'s Annual Clinical Development and Safety Conference 2010 at Hyderabad, India on 6th October 2010.
Part of the MaRS BioEntrepreneurship event series
Speaker: Wendy Hill, Gap Strategies
This event is available as an audio file:
http://www.marsdd.com/bioent/feb12
Team Networks - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, networks
Team LiOn Batteries - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, LiOn Batteries
Team Quantum - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Quantum
Team Disinformation - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Disinformation
Team Wargames - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Wargames
Team Acquistion - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Acquistion
Team Climate Change - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, climate
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve Blank, Army Venture capital
Team Catena - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, economic coercion,
Team Apollo - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, space force
Team Drone - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, c3i, command and control
Team Short Circuit - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, semiconductors
Team Aurora - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, venture capital
Lecture 8 - Technology, Innovation and Great Power Competition - CyberStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Michael Sulmeyer, cybercom,USCYBERCOM
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
2024.06.01 Introducing a competency framework for languag learning materials ...
Sweet sensors final presentation
1. *
Direct Read Out of
Target Concentration!
Drug/Targets
of Patient Samples
interest (Blood/Saliva/
Urine )
Personal Glucose Meter
* Diagnostics platform leveraging personal glucose meters:
Therapeutic drug monitoring (TDM)
Clinical trial companion diagnostics
Medical diagnosis of many diseases
Environmental detection of contaminants
~100 GOOTB connections Gluco = Glucose
Sentient = Responsive to, perceptive or aware
3. *
* Diabetes patients were our initial target market
* Existing glucose meter + need to measure HbA1c
* Key value propositions
* Low cost More frequent tests and
* Home testing better diabetes
management
* Already have PGM Total available
market = $1.2
* Large market billion
* Patient population is huge
Serviceable Available
Market = $600 million
Target market
= $120 million
4. Business Model Canvas #1
Yi Lu, Tian Lan
Sweet Sensors Neil Kane 10-11--2011
Chris Sorensen
Conferences
Product R&D Diabetics
At home Product supports
Glucose monitor QC Clinicians (in rural area)
Convenient Patient
manufacturers
Marketing network/community Triage nurses
Less exposure to
Kit manufacturers infectious diseases Pre-diabetics
in the hospital
Reagent suppliers
Cheaper
More frequent Retailers (Walgreen)
IP
Personnel Better indicator of Online vendors (Amazon)
health (diabetic
management) Direct sales
Reagents
Manufacture
Disposable test kit (used repeatedly
Licensing on a regular basis)
FDA certification?
5. *
(I) spent a lot of time,
money looking at this
(HbA1c) market for
LifeScan – stay away. The best test is one
where the result
affects the behavior.
Find a test where
immediate results have
value.
6. *
“You might even have a
flexible Drugs of Abuse
Analyzer “Bank” which
is actually a rack which
holds a number of small
individual analyzers.”
“The “Holy Grail” now is
matching drug dosages to
individual patients based on a
wide range of factors (age,
weight, gender, ethnicity, body
chemistry, etc.)
So ONE DOSE DOES NOT FIT
ALL”
7. *
* Immediacy
* Inexpensive/cost savings
* Multiple tests
* Short and inexpensive
development cycles
…….became our value propositions
8. *
* Home monitoring of HbA1c does not meet
immediacy requirement
* Large effort is necessary to promote the usage of
home HbA1c test kit in the US
* Competition from product from Bayer
* Large regulatory hurdle
* One market that meets all the value
propositions is drug monitoring during
clinical trials and after the market
9. Business Model Canvas #4
Yi Lu, Tian Lan
Sweet Sensors Neil Kane 10-25-2011
Chris Sorensen
Conferences
Product R&D Immediacy
Glucose monitor Out of clinic Diabetics
QC Marketing Product support
manufacturers
- Abbott? Clinicians (in rural area)
FDA approval for in Convenient Patient
vitro diagnostics network/community
Pre-diabetics
Kit manufacturers
Food safety and
Reagent suppliers security related
Cheaper
Drug monitoring
KOL More frequent Retailers (Walgreen)
IP Personnel Medical Products Distributors
Pharmaceutical Cos
Disposable test kit (used repeatedly
Reagents Licensing on a regular basis)
Manufacturing FDA approval for in Reimbursement strategy
vitro diagnostics
Licensing Sponsored development or JDA
10. Business Model Canvas #5
Yi Lu, Tian Lan, Brian Wong
Sweet Sensors Neil Kane 11-01-2011
Chris Sorensen
Conferences
R&D
Pharmaceutical Pharmaceutical
QC
companies One to one companies for
Immediacy
Therapeutic Drug
Glucometer/strip Long term Monitoring (TDM)
Convenient monitoring
manufacturer and safer dosage
Exclusive
Pharmaceutical Cos
IP
Pharmaceutical Cos
Personnel
Licensing
R&D Sales (to pharmaceutical companies)
11. *
* Better drug monitoring reduces the costs of drug
development
* “One-drug-for-all” is gone; new drugs are more likely
to be effective for certain patients at certain dosage.
* They are willing to provide financial support
* They only want to buy the final products
* Therefore we need to find partners
12. *
Glucose meter GlucoSentient, Inc. Pharmaceutical
companies companies
Provide the
Meter targets
Added value for meter
engineering Key customers
manufacturers
Strip design Low cost, fast Key market
FDA approval monitoring improves knowledge
clinical trials for
pharmaceutical
13. Business Model Canvas #7
Yi Lu, Tian Lan, Brian Wong
Sweet Sensors Neil Kane 11-15-2011
Chris Sorensen
Conferences
R&D
Pharmaceutical Immediate results Pharmaceutical
companies Publicity companies for
Direct
Convenient monitoring Therapeutic Drug
Insurance and safer dosage Monitoring (TDM)
Glucometer mfr Long term
Reimbursement
Strip mfr Robust/extensible Diagnostic
companies
Diagnostics Inexpensive
companies Contract research
Simple Pharmaceutical Cos organizations
IP Investors
Contract research
organizations Personnel
Pharmaceutical Cos
Licensing Licensing?
R&D Product Sales
14. *
Conventional
Development costs
Lab Test
POC tests
Our Technology
Time to obtain the test results
15. *
Total available market
~$20 billion
Serviceable available
Market ~ 2 billion
Target market
~$645 million
Source: American Association for Clinical Chemistry
Source: Point of Care Testing, Biophoenix 2010
Axis Shield (clinic based, fluidics Claros (sensitive fluidics device for HIV
tests for HbA1c, CRP…)acquired detection using antibodies) acquired
Alere for $366 million (10/2011) for $46 million by OPKO (11/2011)
16. *
* Pitch to other pharmaceutical and diagnostic companies
* Develop prototype for the BEST targets in therapeutic drug
monitoring to demonstrate our technology
* Apply SBIRs to reduce technical risks
* License the technology from the University of Illinois
* Move into the Research Park at the University of Illinois
through the I-Start program
17. Business Model Canvas #1
Yi Lu, Tian Lan
Sweet Sensors Neil Kane
Chris Sorensen
Conferences
Product R&D
Glucose monitor At home Diabetics
QC Product supports
manufacturers
Clinicians (in rural area)
Marketing Convenient Patient
Kit manufacturers network/community Triage nurses
Less exposure to
Reagent suppliers infectious diseases Pre-diabetics
in the hospital
Cheaper
More frequent Retailers (Walgreen)
IP
Personnel Better indicator of Online vendors (Amazon)
health (diabetic
management) Direct sales
Reagents
Manufacture
Disposable test kit (used repeatedly
Licensing on a regular basis)
FDA certification?
18. Business Model Canvas #2
Yi Lu, Tian Lan
Sweet Sensors Neil Kane
Chris Sorensen
Conferences
Product R&D
Glucose monitor At home Diabetics
*
QC Marketing Product supports
manufacturers
Clinicians (in rural area)
FDA approval for in Convenient Patient
Kit manufacturers vitro diagnostics network/community Triage nurses
Less exposure to
Reagent suppliers infectious diseases Pre-diabetics
in the hospital
Cheaper
IP Personnel More frequent Retailers (Walgreen)
Better indicator of Online vendors (Amazon)
KOL
health (diabetic
management) Direct sales
Reagents
Manufacture
Disposable test kit (used repeatedly
Licensing on a regular basis)
FDA approval for in
vitro diagnostics
19. Business Model Canvas #3
Yi Lu, Tian Lan
Sweet Sensors Neil Kane 10-18-2011
Chris Sorensen
Conferences
Product R&D Immediacy
Glucose monitor At home Diabetics
*
QC Marketing Product supports
manufacturers
Clinicians (in rural area)
FDA approval for in Convenient Patient
Kit manufacturers vitro diagnostics network/community
Less exposure to
Reagent suppliers infectious diseases Pre-diabetics
in the hospital
Food safety and
Cheaper security related
IP Personnel More frequent Retailers (Walgreen)
Better indicator of Online vendors (Amazon)
KOL
health (diabetic
management)
Reagents
Manufacture
Disposable test kit (used repeatedly
Licensing on a regular basis)
FDA approval for in
vitro diagnostics
20. Business Model Canvas #4
Yi Lu, Tian Lan
Sweet Sensors Neil Kane 10-25-2011
Chris Sorensen
Conferences
Product R&D Immediacy
Glucose monitor Out of clinic Diabetics
*
QC Marketing Product support
manufacturers
- Abbott? Clinicians (in rural area)
FDA approval for in Convenient Patient
vitro diagnostics network/community
Pre-diabetics
Kit manufacturers
Food safety and
Reagent suppliers security related
Cheaper
Drug monitoring
IP Personnel More frequent Retailers (Walgreen)
Medical Products Distributors
KOL
Pharmaceutical Cos
Reagents Disposable test kit (used repeatedly
on a regular basis)
Manufacture
Reimbursement strategy
Licensing
FDA approval for in Licensing Sponsored development or JDA
vitro diagnostics
21. Business Model Canvas #4
Yi Lu, Tian Lan
Sweet Sensors Neil Kane 10-25-2011
Chris Sorensen
Conferences
Product R&D Immediacy
Glucose monitor Out of clinic Diabetics
*
QC Marketing Product support
manufacturers
- Abbott? Clinicians (in rural area)
FDA approval for in Convenient Patient
vitro diagnostics network/community
Pre-diabetics
Kit manufacturers
Food safety and
Reagent suppliers security related
Cheaper
Drug monitoring
KOL More frequent Retailers (Walgreen)
IP Personnel Medical Products Distributors
Pharmaceutical Cos
Reagents Disposable test kit (used repeatedly
on a regular basis)
Manufacture
Reimbursement strategy
Licensing
FDA approval for in Licensing Sponsored development or JDA
vitro diagnostics
22. Business Model Canvas #5b
Yi Lu, Tian Lan, Brian Wong
Sweet Sensors Neil Kane 11-01-2011
Chris Sorensen
Conferences
R&D
Pharmaceutical Pharmaceutical
*
QC
companies One to one companies for
Immediacy
Therapeutic Drug
Glucometer/strip Long term Monitoring (TDM)
Convenient monitoring
manufacturer and safer dosage
Exclusive
Pharmaceutical Cos
IP
Pharmaceutical Cos
Personnel
Licensing
R&D Sales (to pharmaceutical companies)
23. Business Model Canvas #6
Yi Lu, Tian Lan, Brian Wong
Sweet Sensors Neil Kane 11-01-2011
Chris Sorensen
Conferences
R&D
Pharmaceutical Pharmaceutical
*
QC
companies One to one companies
Immediacy
Glucometer/strip Convenient monitoring Long term Glucometer/strip
manufacturer and safer dosage manufacturer
Diagnostics Exclusive Diagnostic
companies company
Contract research Contract research
Pharmaceutical Cos
organization organization
IP
Pharmaceutical Cos
Personnel
Licensing
R&D Sales (to pharmaceutical companies)
24. Business Model Canvas # 7 w/changes
Yi Lu, Tian Lan, Brian Wong
Sweet Sensors Neil Kane 11-08-2011
Chris Sorensen
Conferences
R&D
Pharmaceutical Pharmaceutical
*
QC
companies Direct companies
Immediacy
Publicity
Glucometer/strip Convenient monitoring Long term Glucometer/strip
manufacturer Insurance Reimbursement and safer dosage manufacturer
Diagnostics Exclusive Diagnostic
companies companies
Inexpensive
Contract research Pharmaceutical Cos Contract research
Pharmaceutical Cos Simple
organizations organizations
IP Investors
Glucometer mfr Robust/extensible
Strip mfr Personnel
Licensing Licensing?
R&D Product Sales
25. Business Model Canvas # 8
Yi Lu, Tian Lan, Brian Wong
Sweet Sensors Neil Kane 11-15-2011
Chris Sorensen
Conferences
R&D
Pharmaceutical Immediate results Pharmaceutical
*
companies Publicity companies
Direct
Convenient monitoring
Diagnostics Insurance Reimbursement and safer dosage Long term
companies Diagnostic
Robust/extensible companies
Contract research
organizations
Inexpensive Contract research
organizations
Simple Pharmaceutical Cos
Pharmaceutical Cos
Glucometer mfr IP Investors
Strip mfr Personnel
Licensing Licensing?
R&D Product Sales
26. *
* NSF I-Corps program
* The I-Corps teaching team
28. *
GlucoSentient
Glucose meter Pharmaceutical /
manufacturer • Added value for diagnostic companies
• Meter engineering meter manufacturers • Provide the target of
• Strip design • Low cost, fast interest
• FDA approval monitoring improves • Key customers
clinical trials • Key market
knowledge
Editor's Notes
ImmediacyInstant results gives a reaction time advantage over tests done in a lab settingInexpensiveBy taking tests out of the lab and letting patients do them at home, we can save insurance companies a lot of money. Potential advantage in emerging markets too. Multiple testsMultiple tests (markers) for the same health care issue (glucose and cholesterol for diabetics, for example) leverage the same device. This translates into cost advantage, efficiency for the patience and may improve compliance. Short and inexpensive development cyclesMakes it practical to develop POC tests for indications with small populations such as during drug clinical trials