Healthcare and Medical IoT
11 million children die each year from preventable causes. 70% of the deaths are due to 6 well documented diseases/causes. The mortality is concentrated in 10 countries. We have the tools and technologies to address this problem.
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| מחברים אחרים: | |
| פורמט: | Article |
| שפה: | en_US |
| יצא לאור: |
2017
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| נושאים: | |
| גישה מקוונת: | http://hdl.handle.net/1721.1/107893 |
| _version_ | 1826204336003219456 |
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| author | Datta, Shoumen |
| author2 | Massachusetts Institute of Technology. Auto-ID Laboratory |
| author_facet | Massachusetts Institute of Technology. Auto-ID Laboratory Datta, Shoumen |
| author_sort | Datta, Shoumen |
| collection | MIT |
| description | 11 million children die each year from preventable causes. 70% of the deaths are due to 6 well documented diseases/causes. The mortality is concentrated in 10 countries. We have the tools and technologies to address this problem. |
| first_indexed | 2024-09-23T12:53:02Z |
| format | Article |
| id | mit-1721.1/107893 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2025-03-10T10:56:11Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | mit-1721.1/1078932025-02-28T18:29:45Z Healthcare and Medical IoT Datta, Shoumen Massachusetts Institute of Technology. Auto-ID Laboratory Healthcare, Public Health, Global Disease Burden, IoT, Nano-sensors, Mobile, 3D, Stem 11 million children die each year from preventable causes. 70% of the deaths are due to 6 well documented diseases/causes. The mortality is concentrated in 10 countries. We have the tools and technologies to address this problem. Detection of analytes in the context of nano-diagnostics for preventive medicine and global public health may be within our grasp. But, it appears to be far removed from the reality of the world where 80% of the people live (non-OECD nations). The 80% of the world, however, cannot ignore other afflictions, for example, cancer, diabetes, cardiovascular malfunctions and pulmonary diseases, to name a few. Which means, in the biomedical domain, the rest of the world must find ways to use therapeutic advances, for example, human induced adult pluripotent stem cells, plant based bio-pharmaceuticals, traditional biologics (monoclonal antibody producing autologous cells), metabolomic sensor networks (in vivo wireless communication networks monitoring analytes and transmitting data from inside the body), molecular robotics (ingested micro-machines removing intestinal polyps) and nano-machines for targeted apoptosis, precision cell death and time-sensitive drug delivery. 2017-04-06T14:41:10Z 2017-04-06T14:41:10Z 2017-04-06 Article http://hdl.handle.net/1721.1/107893 en_US Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/zip application/pdf application/zip application/pdf |
| spellingShingle | Healthcare, Public Health, Global Disease Burden, IoT, Nano-sensors, Mobile, 3D, Stem Datta, Shoumen Healthcare and Medical IoT |
| title | Healthcare and Medical IoT |
| title_full | Healthcare and Medical IoT |
| title_fullStr | Healthcare and Medical IoT |
| title_full_unstemmed | Healthcare and Medical IoT |
| title_short | Healthcare and Medical IoT |
| title_sort | healthcare and medical iot |
| topic | Healthcare, Public Health, Global Disease Burden, IoT, Nano-sensors, Mobile, 3D, Stem |
| url | http://hdl.handle.net/1721.1/107893 |
| work_keys_str_mv | AT dattashoumen healthcareandmedicaliot |