Korea opens entry to most cancers information of two million sufferers
Researchers in South Korea can now entry an expanded big-data repository on 2.26 million most cancers sufferers.
The Korean Ministry of Well being and Welfare (MOHW), along with the Nationwide Most cancers Middle and the Korea Well being Data Service, has lately introduced the addition of extra information to the K-CURE Public Most cancers Library.
In keeping with a press launch, entry to K-CURE information, which incorporates anonymised information on registered most cancers sufferers, insurance coverage eligibility and claims, and mortality, has been expanded to cowl information from 2012 to 2020.
Moreover, the dataset on COVID-19 an infection and vaccination from the Korea Illness Management and Prevention Company has been added to the general public information library.
After securing the required permits, researchers can entry public most cancers information by way of designated information utilisation centres.
Korea launches $25M AI drug discovery mission
The MOHW has additionally lately introduced that it began a joint mission with the Ministry of Science and ICT to find and develop new medication utilizing AI know-how.
In a press release, the ministry stated the 34.8 billion gained ($25 million) mission will construct an AI-driven ADME/T prediction mannequin to find new drug candidates. This will likely be developed by way of an AI coaching platform based mostly on federated studying, a machine studying approach that faucets into information from a number of, decentralised sources with out exchanging or transferring them.
The mission, run by the Korea Pharmaceutical and Bio-Pharma Producers Affiliation, has chosen 20 taking part organisations, together with pharmaceutical corporations and universities, to boost and confirm the ensuing AI mannequin.
Thailand’s Siriraj Hospital deploys AI for lymphoma prognosis
The School of Medication at Siriraj Hospital of Mahidol College has lately deployed AI to assist the prognosis of lymphoma.
Based mostly on a press assertion, the hospital began utilising an object detection algorithm to identify and rely centroblast cells in Hematoxylin and Eosin-stained entire slide photographs.
“This growth is important for lymphoma grading, facilitating extra exact affected person classification into levels 1, 2, or 3 based mostly on the progress of the illness,” it defined.
Siriraj Hospital has been deploying AI throughout its departments since 2018. By year-end, it plans to introduce AI to analyse mammograms and CT mind scans.