New anticancer treatment technology targets cancer cell lysosomes and overcomes drug resistance

New anticancer treatment technology targets cancer cell lysosomes and overcomes drug resistance

A groundbreaking anticancer treatment technology that selectively targets cancer cell lysosomes and overcomes drug resistance has been developed by Professor Ja-Hyoung Ryu and his research team in the Department of Chemistry at UNIST. This pioneering research promises a new paradigm for chemical anticancer drugs in the future. Lysosomes are crucial organelles responsible for breaking down … Read more

Machine learning can accurately predict subtypes of Parkinson’s disease

Machine learning can accurately predict subtypes of Parkinson’s disease

Researchers at the Francis Crick Institute and UCL Queen Square Institute of Neurology, working with technology company Faculty AI, have shown that machine learning can accurately predict subtypes of Parkinson’s disease using images of patient-derived stem cells. Their work, published today in Nature Machine Intelligence, has shown that computer models can accurately classify four subtypes … Read more