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Entrepreneurial
Competition –
Group 5:-
VitalScience
Milen Chandegra, David Tang, Shane de
Cruz, Zain Usman
Imagination
 A British technology business, Imagination Technologies creates and licenses
intellectual property (IP) for semiconductors for use in consumer electronics,
mobile devices, and other sectors.
 Along with other IP solutions, the business also provides multi-core CPUs for
use in AI. [1]
 Target market is big companies
 Product created utilises Imagination's AI acceleration
Agilent
 An offspring of Hewlett-Packard, Agilent Technologies specialises in
life sciences, diagnostics and the required safety testing of pharmaceuticals.
 Agilent Technolgies offers analytical equipment, software, services and
consumables. Numerous applications such as genomics, clinical research and
drug development, make use of these items. [2]
 Target market is scientists, pharmaceutical companies and government.
 The product created targets pharmaceutical testing
Competitors
 IBM Watson Health: IBM Watson Health is developing AI medical systems to help doctors
and researchers make more informed decisions about patient care. [3]
 Siemens Healthineers: Siemens Healthineers is developing AI solutions to help with
medical imaging, diagnostics, and therapy. [4]
 Philips Healthcare: Philips Healthcare is developing AI systems to improve patient
care and reduce healthcare costs. [5]
 Dexcom Glucose monitors: Helps diabetics in managing glucose levels by continuously
monitoring levels. [6]
Proposed Solution- Remote Health tracker
VitalScience CAD Rendering
Health tracker monitoring module
Docking station frame
Blood extracting needle
Indicator LED
Slot for dashboard screen
Advantages and innovation
 There are often barriers that prevent a fully representative sample. [7]
 This product will allow people to carry on with their lives – less invasive.
 Ability to increase the speed and efficiency of vaccine research, reduce the need
for large-scale clinical trials, and provide more accurate and real-time data
 The volume of data produced is a lot more and cheaper to obtain.
 The data can be used to better understand how medications work and any possible
side effects.
 In the future the data collected can be used for better diagnosing disease. [8]
 The needle is replaceable so can be used on different patients.
 One of IBM Watson Health's biggest setbacks was the revelation that its cancer
diagnostics tool was not trained with real patient data. [9]
Societal Impact
 Greater public trust in vaccines
 Faster and more accurate vaccinations/medications
 Company prosperity will bring more tax money due to more taxable income,
more jobs created, and more opportunities made.
 Less burden for hospitals as trial patients don't need constant attention in
hospital.
 Could put people out of jobs due to automation
 People may worry about privacy due to constant tracking [10]
Conclusion
 Overall, digital and wireless health check-ups using health monitors can be
a tool for scientists to constantly track individual patients at home whilst
using AI to best analyse the data.
 By providing early detection of health problems, improving management of
new medicine/vaccines with their effects and reducing healthcare costs.
 This device can help both scientists, with constant data and AI analysis of the
data, and people.
 It can cause some ethics issue but with the correct regulation it won't be an
issue
 This fulfils the target market of big medical companies
Reference list
[1] “AI,” Imagination. https://www.imaginationtech.com/products/ai/ (accessed Feb. 16, 2023).
[2] “About Agilent - Agilent,” www.agilent.com, Nov. 01, 2022. https://www.agilent.com/about/
[3] “IBM Watson Health | AI Healthcare Solutions,” IBM Watson Health, 2019. https://www.ibm.com/watson-health
[4] “Siemens Healthineers | Corporate Home,” www.corporate.siemens-healthineers.com. https://www.siemens-healthineers.com
[5] “Artificial Intelligence,” Philips. https://www.philips.com/a-w/about/artificial-intelligence.html (accessed Feb. 16, 2023).
[6] Dexcom, “Dexcom,” Dexcom, 2018. https://www.dexcom.com/en-GB
[7] “Representation in Clinical Trials: A Review on Reaching Underrepresented Populations in Research,” ACRP, Aug. 10, 2020.
https://acrpnet.org/2020/08/10/representation-in-clinical-trials-a-review-on-reaching-underrepresented-populations-in-research
[8] V. Mayer‐Schönberger and E. Ingelsson, “Big Data and medicine: a big deal?,” Journal of Internal Medicine, vol. 283, no. 5, pp. 418–429,
Jan. 2018, doi: https://doi.org/10.1111/joim.12721.
[9] “Where did IBM go wrong with Watson Health?,” Quartz, Mar. 02, 2022. https://qz.com/2129025/where-did-ibm-go-wrong-with-watson-
health
[10] V. J. Dzau and C. A. Balatbat, “Health and societal implications of medical and technological advances,” Science Translational Medicine,
vol. 10, no. 463, p. eaau4778, Oct. 2018, doi: https://doi.org/10.1126/scitranslmed.aau4778.

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Entrepreneurial competion powerpoint.pptx

  • 1. Entrepreneurial Competition – Group 5:- VitalScience Milen Chandegra, David Tang, Shane de Cruz, Zain Usman
  • 2. Imagination  A British technology business, Imagination Technologies creates and licenses intellectual property (IP) for semiconductors for use in consumer electronics, mobile devices, and other sectors.  Along with other IP solutions, the business also provides multi-core CPUs for use in AI. [1]  Target market is big companies  Product created utilises Imagination's AI acceleration
  • 3. Agilent  An offspring of Hewlett-Packard, Agilent Technologies specialises in life sciences, diagnostics and the required safety testing of pharmaceuticals.  Agilent Technolgies offers analytical equipment, software, services and consumables. Numerous applications such as genomics, clinical research and drug development, make use of these items. [2]  Target market is scientists, pharmaceutical companies and government.  The product created targets pharmaceutical testing
  • 4. Competitors  IBM Watson Health: IBM Watson Health is developing AI medical systems to help doctors and researchers make more informed decisions about patient care. [3]  Siemens Healthineers: Siemens Healthineers is developing AI solutions to help with medical imaging, diagnostics, and therapy. [4]  Philips Healthcare: Philips Healthcare is developing AI systems to improve patient care and reduce healthcare costs. [5]  Dexcom Glucose monitors: Helps diabetics in managing glucose levels by continuously monitoring levels. [6]
  • 5. Proposed Solution- Remote Health tracker VitalScience CAD Rendering Health tracker monitoring module Docking station frame Blood extracting needle Indicator LED Slot for dashboard screen
  • 6.
  • 7. Advantages and innovation  There are often barriers that prevent a fully representative sample. [7]  This product will allow people to carry on with their lives – less invasive.  Ability to increase the speed and efficiency of vaccine research, reduce the need for large-scale clinical trials, and provide more accurate and real-time data  The volume of data produced is a lot more and cheaper to obtain.  The data can be used to better understand how medications work and any possible side effects.  In the future the data collected can be used for better diagnosing disease. [8]  The needle is replaceable so can be used on different patients.  One of IBM Watson Health's biggest setbacks was the revelation that its cancer diagnostics tool was not trained with real patient data. [9]
  • 8. Societal Impact  Greater public trust in vaccines  Faster and more accurate vaccinations/medications  Company prosperity will bring more tax money due to more taxable income, more jobs created, and more opportunities made.  Less burden for hospitals as trial patients don't need constant attention in hospital.  Could put people out of jobs due to automation  People may worry about privacy due to constant tracking [10]
  • 9. Conclusion  Overall, digital and wireless health check-ups using health monitors can be a tool for scientists to constantly track individual patients at home whilst using AI to best analyse the data.  By providing early detection of health problems, improving management of new medicine/vaccines with their effects and reducing healthcare costs.  This device can help both scientists, with constant data and AI analysis of the data, and people.  It can cause some ethics issue but with the correct regulation it won't be an issue  This fulfils the target market of big medical companies
  • 10. Reference list [1] “AI,” Imagination. https://www.imaginationtech.com/products/ai/ (accessed Feb. 16, 2023). [2] “About Agilent - Agilent,” www.agilent.com, Nov. 01, 2022. https://www.agilent.com/about/ [3] “IBM Watson Health | AI Healthcare Solutions,” IBM Watson Health, 2019. https://www.ibm.com/watson-health [4] “Siemens Healthineers | Corporate Home,” www.corporate.siemens-healthineers.com. https://www.siemens-healthineers.com [5] “Artificial Intelligence,” Philips. https://www.philips.com/a-w/about/artificial-intelligence.html (accessed Feb. 16, 2023). [6] Dexcom, “Dexcom,” Dexcom, 2018. https://www.dexcom.com/en-GB [7] “Representation in Clinical Trials: A Review on Reaching Underrepresented Populations in Research,” ACRP, Aug. 10, 2020. https://acrpnet.org/2020/08/10/representation-in-clinical-trials-a-review-on-reaching-underrepresented-populations-in-research [8] V. Mayer‐Schönberger and E. Ingelsson, “Big Data and medicine: a big deal?,” Journal of Internal Medicine, vol. 283, no. 5, pp. 418–429, Jan. 2018, doi: https://doi.org/10.1111/joim.12721. [9] “Where did IBM go wrong with Watson Health?,” Quartz, Mar. 02, 2022. https://qz.com/2129025/where-did-ibm-go-wrong-with-watson- health [10] V. J. Dzau and C. A. Balatbat, “Health and societal implications of medical and technological advances,” Science Translational Medicine, vol. 10, no. 463, p. eaau4778, Oct. 2018, doi: https://doi.org/10.1126/scitranslmed.aau4778.