SpecC
Specc stands for "Secure and Privacy-preserving Computation of Covid-19 Tests". It is an online platform that helps scientists, doctors and researchers carry out research on Covid-19 and other diseases without revealing confidential information about their patients.
When scientists and doctors want to study a disease like Covid-19, they need to collect information from their patients. This information can be sensitive, like age and medical history, so it needs to be kept secret. But researchers also need to share this information (in an anonymized form) with other scientists, so they can study the disease and help find treatments or a cure.
Specc makes this possible by using secure and privacy-preserving technology. It helps keep the confidential data (like patient information) secure and makes sure it is used only in authorized ways. It also makes sure that the data is kept private, so no one can find out who the patient is, even if they get access to the data.
In other words, Specc helps researchers work safely and securely with confidential patient information, so they can study Covid-19 and other diseases without risking their patient's privacy.
When scientists and doctors want to study a disease like Covid-19, they need to collect information from their patients. This information can be sensitive, like age and medical history, so it needs to be kept secret. But researchers also need to share this information (in an anonymized form) with other scientists, so they can study the disease and help find treatments or a cure.
Specc makes this possible by using secure and privacy-preserving technology. It helps keep the confidential data (like patient information) secure and makes sure it is used only in authorized ways. It also makes sure that the data is kept private, so no one can find out who the patient is, even if they get access to the data.
In other words, Specc helps researchers work safely and securely with confidential patient information, so they can study Covid-19 and other diseases without risking their patient's privacy.