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Innovation in Cancer & BigData - 10 Startups
The document discusses cancer and big data, highlighting 10 inspiring startups and projects that aim to improve cancer research and treatment. It emphasizes the importance of collecting and analyzing data to enhance patient care and support healthcare providers. Various innovative approaches, including advanced imaging and microbiome analysis, are explored to tackle the complexities of cancer.
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Innovation in Cancer & BigData - 10 Startups
- 1. CANCER & Innovation in BIGDATA 10 Inspiring Startups & Projects By Bruno Rakotozafy
- 2.
- 3. Definition Cancer: a groupof diseases involving abnormal cell growth with the potential to invade or spread to other parts of the body Synonym: Malignant Tumor Big Data: often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data.
- 4. Oncologists Gen Physicians Radiologists CancerCenters Nurses Who’s Involved ? Patients
- 5. 3 angles to fightagainst cancer
- 6.
- 7. Flatiron.com Only 5% ofcancer patient are enrolled into clinical trials. Flatiron is trying to capture data from the remaining 95%.
- 8. uBiome.com Analyzing trillions ofbacterias living in your microbiome to predict some cancers.
- 9. Health Data Centers inFrance In advanced countries, it’s critical to secure health data transmission to meet regulatory compliances. (click to see the list)
- 10.
- 11. FoundationMedicine.com On demand biopsysequencing to predict the best cancer treatment.
- 12. CancerLinQ.org Collaborative database extractingdata from existing EHR to be used by practioners to get second opinions.
- 13. IBM Watson Computer willnot replace doctors but help them taking wiser decisions.
- 14. Want to takepart in this revolution? Everybody can Create the Future of Healthcare Click to Discover
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- 16. SkinVision.com SkinVision is helpspeople tracking evolution of moles with their smartphones.
- 17. VisiblePatient.com VisiblePatient provides interactive3D models for surgeons before tumor surgeries
- 18. Zebra-Med.com Zebra Medical Visionhas stockpiled millions of images accessible for researchers to test new image analysis algorithms.
- 19. MobileODT.com Mobile ODT developsa smartphone tool to help screening cervical cancer in emerging markets.
- 20.
Editor's Notes
- #8 A suit of applications for Oncologists that help them to capture data easily. Compiled data allows drug makers to make more precise trials History: build by 2 IT guys, they met expert in the domain + oncologists (1000 meetings in 6 months) Investment: 130 M$ from google venture Business Model: Selling software to cancer cancer and distibuting data to drug maker
- #9 History: more bacteria than cells in your body (3 to 10x). And they can influence your cells and then cancer development. Mostly in skin, intestin, mouth, lungs, Investment: Get 350K via Crowdfunding (Indiegogo) + 4,5M$ Business Model: Sell microbiome sequencing for 90$
- #10 70 entités en France qui vendent (ou pas) leur capacité d’hebergement
- #12 History: After a recurred cancer a doctor send a biopsy to Foundation Medicine. Analysis revealed 200 genes with known link to this cancer and 4 « actionnable mutations. Predict 4 drugs undergoin trials Investment: IPO and get 1B$ investment by Roche (biggest cancer drug maker) Business Model: Sell sequencing and report
- #13 5 appli payantes 30,000 professionnel par jours utilisent
- #15 Predicting patterns thanks to multiple points of data
- #16 Lots of tumors are diagnosed thnaks to medical imaging
- #17 Histoire: When a mole shape change rapidly, this may be the sign of a malignous tumor. Traction: 200,000 downloads. The only one to get CE mark Investment: 4M$ with a dermatological pharma company among investor (LEO Pharma) Business Model: 2€/month
- #18 History: Imagine a surgeon need to plan an liver cancer operation thanks to 2D images. Made in Strasbourg Business Model: sell modelisation to surgeons Investment:
- #19 History: Israel startup applying image identification algorithm to medical images. Dataset of 10M images Invest: 8M$ by Khosla Venture Business Model: Invite researcher to create algorithm and share revenues when thos algorithms are sold to radiologists
- #20 History: Israel startup. Cheap and easy to use tool. Piggyback on smartphone capabilities to run algorithms Invest: 8M$ in grants Business Model: As low as 800$ (compared to 10,000$ for regular Colposcope)