Charting A Coronavirus Infection by Katherine J. Wu And Jonathan Corum. The New York Times. October 5, 2020.
Showing posts with label models. Show all posts
Showing posts with label models. Show all posts
Wednesday, October 7, 2020
Friday, September 4, 2020
IHME: Most Likely Forecast: 410,000 Deaths By January 1, 2021.
Key Coronavirus Forecast Predicts Over 410,000 Total U.S. Deaths By Jan. 1: "The Worst Is Yet To Come" by Will Feuer. CNBC. September 4, 2020.
Thursday, June 11, 2020
Where To Focus, And Not To Focus, Attention To Understand The Epidemic
Amateur Epidemiology Is Deterring Our Covid-19 Response. Here's What We Should Do Instead by Tom Frieden. The Washington Post. June 10, 2020.
Saturday, May 9, 2020
The Shape Of Our Pandemic Future
This Is The Future Of The Pandemic by Siobhan Roberts. The New York Times. May 8, 2020,
Wednesday, January 30, 2019
Status Report: 3D-Printed Implants, Bioprinting, Surgical Tools,
Medical 3D Printing: Where Are We Now? by Michael Molitch-Hou. Engineering.com. January 29, 2019.
Labels:
Innovation,
models,
skin,
surgery,
Technology
Friday, May 29, 2015
3-D Printer Generates Realistic Model Of Cancerous Tumor; More Effective Testing Of Anti-Cancer Drugs Possible
3-D Printer Generates Realistic Model Of A Cancerous Tumor. IOP Publishing/Science Daily. May 27, 2015.
Monday, August 11, 2014
Monday, December 9, 2013
Heart Stent Design Perhaps Enhanced By Mathematical Models Of Drug Release
Math Models Enhance Current Therapies For Coronary Heart Disease. Science Daily. December 9, 2013.
(1) The design of drug-eluting heart stents is severely limited by _______________________________________.
(2) This limitation could be addressed by developing models of __________________________ and comparing the ________________________.
(3) The integral equation called the _______________ can be shown under under under certain circumstances to satisfy for the drug release concentration.
(1) The design of drug-eluting heart stents is severely limited by _______________________________________.
(2) This limitation could be addressed by developing models of __________________________ and comparing the ________________________.
(3) The integral equation called the _______________ can be shown under under under certain circumstances to satisfy for the drug release concentration.
Thursday, June 20, 2013
Big Data: The Numerical Imagination Applied Everywhere, Including Medicine
Sizing Up Big Data, Broadening Beyond The Internet by Steve Lohr. The New York Times. June 19, 2013.
The entire "Bits" section of today's Times is wonderfully helpful in providing a good feel for the possibilities and challenges of the world of big data.
(1) The young data scientist profiled in the article has had an interesting career path progressing from ____________ to ___________ to his own firm __________ and finally to _____________.
(2) His goal at Mount Sinai is "to turn medicine into the land of the _______."
(3) Big Data as a term embraces ______, ____________ and ___________.
(4) The McKinsey Global Institute needs _____________________ workers "deep analytical"
skills along with ___________ million more data-literate managers.
(5) Big Data represents a potential revolution in ________________.
(6) Essential is clever software to ____________________.
(7) In the era of Big Data decisions will be based on ____________ rather than _____________.
(8) How will the use of data impact "anchoring bias?"
(9) What is the threat posed by incorrect correlation?
(10) What are the components of the models of biology and health outcomes being developed at Mt Sinai?
The entire "Bits" section of today's Times is wonderfully helpful in providing a good feel for the possibilities and challenges of the world of big data.
(1) The young data scientist profiled in the article has had an interesting career path progressing from ____________ to ___________ to his own firm __________ and finally to _____________.
(2) His goal at Mount Sinai is "to turn medicine into the land of the _______."
(3) Big Data as a term embraces ______, ____________ and ___________.
(4) The McKinsey Global Institute needs _____________________ workers "deep analytical"
skills along with ___________ million more data-literate managers.
(5) Big Data represents a potential revolution in ________________.
(6) Essential is clever software to ____________________.
(7) In the era of Big Data decisions will be based on ____________ rather than _____________.
(8) How will the use of data impact "anchoring bias?"
(9) What is the threat posed by incorrect correlation?
(10) What are the components of the models of biology and health outcomes being developed at Mt Sinai?
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