Category: cancer

Opportunity for residents to go to European oncology conference- and more

cancer treatment

The clinic is happy to announce that the board has authorized the purchase of eight tickets to the next European oncology conference. The head of the oncology department, Doctor Lakershire, and two of her fellows will be attending, as well as five residents. In addition to attending the conference, the residents will also go to a one-week specialization course about automated treatment planning prior to the actual summit.


All two, three, and four-year residents can apply. Please register yourself at the office and leave a maximum of three-hundred-word motivation letter as to why the board should choose to invest in you and how you going on the course would be an asset for this hospital.


The course, which will take place at the same hotel in Munich that the conference will be held at, will teach the residents about vmat planning. There will be demonstration of a treatment planning system machine learning equipped, meaning the systems will constantly be using the results and data from previous treatments to improve the plan for upcoming treatment programs. This system is developed by the market-leading company and is allegedly totally outstanding. Getting to work with it before it is launched is an opportunity no one would want to miss out on, and will for sure be a feather in one’s cap that future employers will look rather fondly upon.


This is an incredible opportunity for residents to learn the very complicated treatment planning techniques using top-notch technology. The tickets are very limited and sought after, as well as pricey, and we expect all residents to fully utilize the time at the course and conference. By this, the board means not only going to lessons and seminars but also networking and, in every possible, way represent our hospital.


If the course is deemed a success, the board is open to financing additional residents to go to the course next year.

For further information concerning practical matters, the choosing of residents, or any other inquiry, don’t hesitate to get in touch with Anna Zumerman in the main office.

New technology for cancer treatment

Cancer is a world disease:

Cancer really is something awful, far more so than the majority of things on this planet. Not only is it far worse than the majority of things, it is even far worse than the majority of diseases. Not only because cancer is a dangerous, often deadly disease, but also because cancer is unfair, it has no mercy and it leaves so many people and families wounded and scared for life. Once you or someone in your near circle is diagnosed with cancer life never becomes the same again. Even when the cancer has been successfully treated and eliminated the fear of relapse and becoming sick again never leaves you alone. That is the reason why cancer has no mercy, you can never fully recover from it because the scars on the inside are permanent. Cancer truly is unfair, also because cancer can hit anyone – regardless of how much the person has done to prevent it. Small children have cancer, way to many in fact. Extremely healthy people as well. Rich as poor. Young as old. Cancer is a world disease, and we need improved treatment and technology. 


Improved cancer treatment with RaySearch Labs:

Luckily the trends seems to have taken a turn and cancer treatment is finally improving and evolving as it should. This is thanks to the corporation RaySearch Laboratories who are finding new innovate ways for treating cancer and improving the software technology. Improving the field of treatment with new technology is something that is very much needed and can have a great impact on our society and the ability to both treat and detect cancer in time. RaySearch Laboratories are now specialising in a new technology known as machine learning and more specifically in machine learning planning. This new technology revolves around machines generating personalised treatment plans in minutes and machine learning adaptive radiation therapy. In less than 45 seconds it generate contours of organs with deep neural network models and the ability to share the models with other clinics.