The Universidad Carlos III de Madrid (UC3M) is conducting research that analyses antibiotic resistance patterns with the aim of finding trends that can help decide which treatment to apply to each type of patient and stop the spread of bacteria. This study, recently published in the scientific journal Nature Communications, has been carried out together with the University of Exeter, the University of Birmingham (both in the United Kingdom) and the Westmead Hospital in Sydney (Australia).

A cutting-edge artificial intelligence (AI) system that can accurately predict the areas of an image where a person is most likely to look has been created by scientists at Cardiff University.

Based on the mechanics of the human brain and its ability to distinguish between different parts of an image, the researchers say the novel system more accurately represents human vision than anything that has gone before.

A joint research group led by Genki Kanda at the RIKEN Center for Biosystems Dynamics Research (BDR) has developed a robotic artificial intelligence (AI) system for autonomously determining the optimal conditions for growing replacement retina layers necessary for vision. The AI controlled a trial and error process spanning 200 million possible conditions that succeeded in improving cell culture recipes used in regenerative medicine.

Researchers at the University of Copenhagen and clinicians at Rigshospitalet have developed an app that can help doctors make better decisions for patients with leukaemia.

The researchers analysed a data set containing 112 million blood tests from 1.3 million Danes, 1,123 of whom suffer from chronic lymphocytic leukaemia (CLL).

A new study from the University of Eastern Finland indicates that the COVID-19 pandemic has seriously affected healthcare service usage among patients with 2 type diabetes in North Karelia, Finland, but essential care was continuously provided. The delivery of many essential services was facilitated by processes that strongly relied on telemedicine already before the pandemic.

Obesity affects millions of individuals worldwide and is associated with a significantly increased risk for cardiovascular and metabolic diseases. A study publishing June 16th in the open access journal PLOS Digital Health by Annabell Ho at Noom, Inc. New York, United States, suggests that while setting a weight-loss goal, analytical language was associated with greater weight loss success and a lower likelihood of attrition.

Percutaneous nephrolithotomy (PCNL) is an efficient, minimally-invasive, gold standard procedure used for removing large kidney stones. Creating an access from the skin on the back to the kidney - called renal access, is a crucial yet challenging step in PCNL. An inefficiently created renal access can lead to severe complications including massive bleeding, thoracis and bowel injuries, renal pelvis perforation, or even sepsis.