數字健康與遠程醫療
由於醫療保健技術的不斷發展，數字健康和遠程醫療等術語通常可以互換使用，但實際上它們具有不同的含義。
Maria’s Story – Part 7: The Epilogue
這個故事並不意味著要對加拿大醫療體系提出起訴。
Maria’s Story – Part 1: The Bump
任何皮膚癌診斷的起源故事通常是這樣開始的：
“ Hmph。我想知道那是什麼嗎？”通常後面跟著“您認為我應該將其檢出嗎？”
Maria’s Story – Timeline of Events
In 2020, Maria was met with a life altering medical diagnosis.
Skin cancer.
Research & Development: Canadian Burden of Skin Disease from 1990 to 2017
Abstract Background: Skin diseases can have high morbidity that can be costly to society and individuals. To date, there has been no comprehensive assessment of the burden of skin disease in Canada. Objectives: To evaluate the burden of 18 skin and subcutaneous diseases from 1990 to 2017 in Canada using the Global Burden of Disease (GBD) data. […]
Psoriasis… the Silent Disabler
For example, psoriasis is the uncontrolled overproduction of skin cells, which is eerily similar to the ravages of cancer. So much so that research suggests people afflicted with psoriasis may be at greater risk of developing cancer in their lifetime. Psoriasis can also lead to psoriatic arthritis, a condition the getskinhelp.com CEO, Keith Loo, has suffered from […]
Maria’s Story – Part 2 Coronavirus
The continued lockdown forced Maria’s May 11 annual check-up to be rescheduled to July 27, approximately four months after she first noticed the bump.
AM640多倫多采訪
Check out the AM640 Toronto interview on Skinopathy’s GetSkinHelp. Rather than waiting months to see a specialist, you can now get screened virtually for skin cancer within hours. And the great thing about it? It’s fully covered by OHIP.
How to Take Pictures for the GetSkinHelp Website
So, you decided to get that bothersome “skin thing” checked out on GetSkinHelp and need to take a picture of your skin concern, but are not exactly where to start.
It is much simpler than you think, and it begins here…
研究與開發：人工智能可能有助於預測轉移性黑素瘤患者對免疫檢查站封鎖的反應
Press Release from the American Association for Cancer Research Link to page PHILADELPHIA – A computational method that combines clinicodemographic variables with deep learning of pre-treatment histology images could predict response to immune checkpoint blockade among patients with advanced melanoma, according to results published in Clinical Cancer Research, a journal of the American Association for Cancer […]
