In the largest meta-analysis of trials on digital interventions for the treatment of depression, researchers found that computer- and smartphone-based treatments offer a promising method to address the growing mental health needs. However, support from a human is still needed to ensure people adhere to treatment.

An international team led by SWOG Cancer Research Network has developed statistical models to predict the risk of early death in patients being treated with non-intensive therapies for acute myeloid leukemia (AML). Results of analyses using the models will be given in an oral presentation at the 2021 American Society of Hematology (ASH) Annual Meeting on December 11.

As digitalization continues to make headway, finding ways of increasing the security of the exchange of sensitive information becomes ever more important. One of the main methods proposed to achieve this is a communication network that operates based on the laws of quantum physics. This would ensure that undetected eavesdropping is made impossible. Development of such a system is the aim of the joint research project QuantumRepeater.Link (QR.X). The project is to receive total funding of some EUR 35 million from the German Federal Ministry of Education and Research (BMBF) over the next three years.

Dead-end Discovery is a new learning model can identify high-risk treatments in urgent situations, and in some cases alert doctors when a patient is approaching a medical dead-end that will likely result in their death.