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https://www.selleckchem.com/products/gsk2193874.html shinyapps.io/myxoid_liposarcoma/. MLS is a soft-tissue sarcoma with adjunct treatment options that are, in part, decided by prognostic survival. We developed the first machine-learning predictive algorithm specifically for MLS using the SEER registry that retained performance during external validation with institutional data. MLS is a soft-tissue sarcoma with adjunct treatment options that are, in part, decided by prognostic survival. We developed the first machine-learning predictive algorithm specifically for MLS using the SEER registry that retained performance during external validation with institutional data. Cancer patients configure a risk group for complications or death by COVID-19. For many of them, postponing or replacing their surgical treatments is not recommended. During this pandemic, surgeons must discuss the risks and benefits of treatment, and patients should sign a specific comprehensive Informed consent (IC). To report an IC and an algorithm developed for oncologic surgery during the COVID-19 outbreak. We developed an IC and a process flowchart containing a preoperative symptoms questionnaire and a PCR SARS-CoV-2 test and described all perioperative steps of this program. Patients with negative questionnaires and tests go to surgery, those with positive ones must wait 21 days and undergo a second test before surgery is scheduled. The IC focused both on risks and benefits inherent each surgery and on the risks of perioperative SARS-CoV-2 infections or related complications. Also, the IC discusses the possibility of sudden replacement of medical staff member(s) due to the pandemic; the possibility of unexpected complications demanding emergency procedures that cannot be specifically discussed in advance is addressed. During the pandemic, specific tools must be developed to ensure safe experiences for surgical patients and prevent them from having misunderstandings concerning their care. During

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