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:
Sports scientists from the University of Basel found that providing telephone-based coaching over the phone is an effective method for getting people in Switzerland to adopt a physically active lifestyle.
The unrestricted availability of original data – so-called open data – on scientific publications is an important prerequisite for ensuring research results are verifiable and able to be used in the best possible way. Moreover, the reproducibility of results is crucial for the transfer of research findings into commercial or social application – which is the main concern of the BIH.
A machine-learning method discovered a hidden clue in people's language predictive of the later emergence of psychosis - the frequent use of words associated with sound. A paper published by the journal npj Schizophrenia published the findings by scientists at Emory University and Harvard University.
Scientists in the United States, Europe and South America are reporting how a new cloud-computing web platform allows scientists to track data and analyses on the brain, potentially reducing delays in discovery. The project, called brainlife.io, is led by Franco Pestilli, associate professor at Indiana University, in collaboration with colleagues across the university.
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.