Showing results for "Cancer" in Music
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The Beat Broadcast
- Written by: Breast Cancer Can Stick It!
- Original Recording
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The Beat Broadcast is hosted by drummer, breast cancer survivor, author, and our founder, April Samuels. The show features two guests per show (a breast cancer survivor and musicians/celebrities or medical industry professionals) and is streamed on the Breast Cancer Can Stick It! Facebook page on the third Tuesday of each month. During our guest segments, we invite YOU to ask questions! Also during the show are our AmazonSmile #OpenBox segment and ”Fact or Fiction” segment with breast oncologist Dr. Joyce O’Shaughnessy. Tune in monthly, on the third Tuesday of each month at 7:00 p.m. CT
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I.V. Catatonia
- 20 Years as a Two-Time Cancer Survivor
- Written by: Eric Alexandrakis
- Narrated by: Eric Alexandrakis
- Length: 4 hrs and 51 mins
- Original Recording
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Just after having produced the first digitally watermarked CD as a graduate student at the prestigious University of Miami School of Music in his early 20s, artist/producer Eric Alexandrakis noticed a lump on the left side of his chest. With no insurance, no ability to work steadily due to the burden of chemotherapy treatments, and no guarantee of survival...attempting to turn his creative dreams into reality seemed like a hopeless impossibility. What followed was a story of determination, inspiration, and creative innovation.
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I.V. Catatonia
- 20 Years as a Two-Time Cancer Survivor
- Narrated by: Eric Alexandrakis
- Length: 4 hrs and 51 mins
- Release Date: 13-03-20
- Language: English
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₹469.00 or free with 30-day trial
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The Digital Cancer Twin Podcast
- Written by: CFRC Podcast Network
- Original Recording
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The Digital Cancer Twin Podcast comes out of a interdisciplinary collaboration between Queen’s School of Computing and School of Religion to investigate the ethical, social, philosophical and technical implications of the cutting edge AI cancer diagnostic technology that is being developed at Queen’s. This technology allows patients to receive accurate cancer diagnoses and predictions in the early stages of their treatment. What happens when one’s future life can be predicted using algorithmic models? What new responsibilities do medical practitioners need to be aware of while using this...
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