virtual.MEDICA + virtual.COMPAMED win audiences over with their high degree of international resonance
They provided important stimuli for the healthcare economy and there is keen anticipation for the reunion in Düsseldorf in 2021
For the first time in the history of MEDICA, the world-leading medical trade fair, and the industry’s number one platform for the suppliers of the medical technology industry, COMPAMED, held from 16 to 19 November 2020, took place entirely online due to the pandemic - but still won over their audiences due to their high degree of international resonance in this format too, as virtual.MEDICAand virtual.COMPAMED. Despite a very short registration period, a total of over 1,500 exhibitors took part, hailing from 63 nations. They displayed a huge variety of innovative products, amounting to over 18,300 items, in their online showrooms, and presented live programmes for the healthcare community in over 100 web sessions, which hosted 300 participants at their peak. The community showed avid interest in their droves: Over 45,000 professional visitors (unique users) from 169 nations used the virtual offers and generated 405,000 page impressions. International online visitors to the event made up 78% of the attendees.
Researchers at Carnegie Mellon University report findings on an advanced nanomaterial-based biosensing platform that detects, within seconds, antibodies specific to SARS-CoV-2, the virus responsible for the COVID-19 pandemic. In addition to testing, the platform will help to quantify patient immunological response to the new vaccines with precision.
Leg amputees are often not satisfied with their prosthesis, even though the sophisticated prostheses are becoming available. One important reason for this is that they perceive the weight of the prosthesis as too high, despite the fact that prosthetic legs are usually less than half the weight of a natural limb.
A rapid, evidence-based review summarizes the effectiveness of cloth masks in protecting health care clinicians from respiratory viral infections, such as COVID-19. Nine studies were included in the review, and all but one were conducted prior to the COVID-19 pandemic.
Aneurysm operations in the brain rank among the most delicate procedures in neurosurgery. The highest demands are placed on surgeons when choosing the type of intervention, planning the route and carrying out extremely delicate procedures on the blood vessel.
Engineering researchers have developed a new technique for eliminating particularly tough blood clots, using engineered nanodroplets and an ultrasound "drill" to break up the clots from the inside out. The technique has not yet gone through clinical testing. In vitro testing has shown promising results.
The clock drawing test has been used for several decades as a simple and effective means of diagnosing disruptions to spatial orientation and dementias. Scientists at the Pattern Recognition Lab at the Department of Computer Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) fed AI neural networks with data from 2500 tests to teach them how to assess these results independently.
Prof. Volker Busskamp from the University of Bonn has received a "Proof of Concept Grant" worth 150,000 euros from the European Research Council (ERC). He and his team are working at the Eye Clinic of the University Hospital Bonn on a technology to rapidly program human stem cells to photoreceptor for retinal research and treating blindness in the future.
Stomach cancer, or gastric cancer, is a common gastrointestinal malignancy. Peritoneal metastasis occurs in a majority of patients with advanced stomach cancer and is considered as an aggressive disease with poor outcomes.
Medical professionals all want to be able to quickly and correctly diagnose diseases. Their future ability to do so will depend on identifying what biochemicals are present in tissue sections, where the biomolecules are, and at what concentrations. For this purpose, mass spectrometry imaging – which can identify multiple biochemicals in a single experiment – will be useful.
An accident, such as falling on a ski slope, usually requires an X-ray examination of the injured limb and a trip to the nearest hospital or emergency clinic. In the near future, imaging services can be brought closer to the patient. Researchers in Oulu are currently developing a compact X-ray imaging device that even the patient could use if necessary.
Diabetes continues to be the leading cause of new cases of blindness among adults in the United States. A new study looks at the effectiveness of seven artificial intelligence-based screening algorithms to diagnose diabetic retinopathy, the most common diabetic eye disease leading to vision loss.
Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience. Artificial neural networks open up new possibilities: They require just seconds to interpret whole-body scans of mice and to segment and depict the organs in colors, instead of in various shades of gray.
Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
Since patients with ballistic embedded fragments are frequently denied MRI, due to indeterminate bullet composition sans shell casings, radiography and CT can be used to identify nonferromagnetic projectiles that are safe for MRI.
What happens in the brain when our conscious awareness fades during general anesthesia and normal sleep? Finnish scientists studied this question with novel experimental designs and functional brain imaging.
Scientists from the MIPT Research Center for Molecular Mechanisms of Aging and Age-Related Diseases have joined forces with their colleagues from Forschungszentrum Jülich, Germany, and uncovered how sodium ions drive glutamate transport in the central nervous system.
Neuroscientists from the University of Geneva and the University Hospital of Bern have succeeded in developing a technique that can predict seizures days in advance. By recording neuronal activity over at least six months using a device implanted directly in the brain, it's possible to detect individual cycles of epileptic activity and provide information about the probability of a future seizure.
A pioneering new eye test, developed by scientists at UCL in collaboration with the Western Eye Hospital, London, may predict wet AMD, a leading cause of severe sight loss, three years before symptoms develop. Researchers hope their test could be used to identify the disease early enough so that treatment can effectively prevent any vision loss.
A research team from the National University of Singapore (NUS), led by Assistant Professor Chen Po-Yen, has taken the first step towards improving the safety and precision of industrial robotic arms by developing a new range of nanomaterial strain sensors that are 10 times more sensitive when measuring minute movements, compared to existing technology.
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