Down Syndrome, also known as Trisomy 21, is the most common chromosomal abnormality causing developmental delay and intellectual disability and can be identified in utero. Many pregnant women seek to determine whether their fetus has this abnormality.

Now researchers from the Institute of Automation of the Chinese Academy of Sciences (CASIA) have developed an intelligent prediction model to achieve non-invasive screening of Down Syndrome using ultrasound image.

In a recent article, Kessler Foundation scientists advocated for the incorporation of virtual reality (VR) technology in cognitive rehabilitation research in multiple sclerosis (MS). They presented a conceptual framework supporting VR as an adjuvant to traditional cognitive rehabilitation and exercise training for MS, theorizing that VR could strengthen the effects of traditional rehabilitative therapies by increasing sensory input and promoting multisensory integration and processing.

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.