Information and Communication Technology in Hall 13
This segment deals with the use of solutions in the field of mHealth / mobile IT, KI, VR, AR, Medical Apps, wireless technologies (wireless, Bluetooth, W-LAN), wearables, intelligent textiles (smart textiles), eHealth, telemedicine / telematics / telemetry, management information systems / management software, medical information systems / software, IT infrastructure / computer hardware and communication systems.
Product categories in the segment Information and Communikation Technology:
A combined research team from Carnegie Mellon University and Benaroya Research Institute at Virginia Mason is pairing a nanoscale imaging technique with virtual reality (VR) technology to create a method that allows researchers to "step inside" their biological data.
A UCLA-led research team has developed a faster and more accurate way to determine where the many bacteria that live in, and on, humans come from. Broadly, the tool can deduce the origins of any microbiome, a localized and diverse community of microscopic organisms.
When it comes to the diagnosis of pigmented skin lesions, artificial intelligence is superior to humans. In a study conducted under the supervision of the MedUni Vienna human experts "competed" against computer algorithms. The algorithms achieved clearly better results, yet their current abilities cannot replace humans.
Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality. Those new research findings were just published in Nature Machine Intelligence by engineers at Rensselaer Polytechnic Institute and radiologists at Massachusetts General Hospital and Harvard Medical School.
The team under Prof. Tom Lenaerts (VUB-ULB) of the IB² has developed an AI algorithm that makes it possible to identify combinations of genetic variants or abnormalities that cause rare diseases through computer analysis.
Based on a study by McLean Hospital researchers, individuals with anxiety, depression, and other mental health conditions may soon be able to use a smartphone app to deliver on-demand cognitive bias modification for interpretation (CBM-I), a way to change mental habits without visiting a therapist.
Until now, user-friendliness has been the focus of the development of smart and functional textiles. Now it is time to address comfort when wearing these textiles – a quality factor that should be of interest to the industry.
Many mutations in DNA that contribute to disease are not in actual genes but instead lie in the 99% of the genome once considered "junk." Even though scientists have recently come to understand that these vast stretches of DNA do in fact play critical roles, deciphering these effects on a wide scale has been impossible until now.
Researchers have shown that AI could potentially be used to customise training regimens for individuals to personalise learning and improve cognitive performance. Using performance data from a given person, CURATE.AI creates an individualised profile that enables cognitive training to be tailored to the individual's learning habits and competencies so as to enhance training effectiveness.
Researchers from the University of Copenhagen and Rigshospitalet have used data on more than 230,000 intensive care patients to develop a new algorithm. Among other things, it uses disease history from the past 23 years to predict patients' chances of survival in intensive care units.