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AI in medicine

Dear Sir or Madam,

Artificial intelligence is no longer a dream of the future. In the USA, doctors have already been working for more than ten years with products in which algorithms are used. Especially in the field of repetitive tasks, computers are important helpers. Nevertheless, research is still at the beginning. What about the learning ability of machines, the current status of AI solutions and the possibilities of tomorrow? Read more in our current interview at MEDICA-tradefair.com!

Have a cooler but still sunny week,

Katja Laska
Editorial team MEDICA-tradefair.com

image: 12 - 15 November 2018, MEDICA - World Forum for Medicine in Düsseldorf

AI in medicine

Topic of the Month: Big Data in diagnostics
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AI in medicine: Machines do not learn like humans

Topic of the Month

Image: The development of deep learning algorithms with the Fraunhofer MEVIS's infrastructure happens interactively. Clinicians and developers are thus able; Copyright: Fraunhofer MEVIS
For years, medicine has been exploring AI techniques aimed at easing physician workload. While computers may not have the medical expertise and skills obtained through years of study, they can recognize patterns and specific features in datasets and draw deductions. Though this does not make them as valuable as doctors, it does, however, make them faster and more reliable when it comes to certain tasks.
Read more in our Topic of the Month:
AI in medicine
Topic of the Month: Big data in diagnostics
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Research & Technology

New AI platform to identify personalized drug combinations

A multidisciplinary team of researchers from the National University of Singapore (NUS) has developed an artificial intelligence (AI) technology platform that could potentially change the way drug combinations are being designed, hence enabling doctors to determine the most effective drug combination for a patient quickly.
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Research & Technology

Using smartphones to detect strokes

Researchers of Valencia’s Polytechnic University (UPV) have designed a mobile phone application that enables the early detection of cerebral ictus.
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Research & Technology

AI model 'learns' from patient data

MIT researchers are employing novel machine-learning techniques to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer.
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Research & Technology

Genetic tools uncover cause of childhood seizure disorder

Early childhood seizures result from a rare disease that begin in the first months of life. Researchers at University of Utah Health have developed high-tech tools to uncover the genetic cause of the most difficult to diagnose cases. The results are available online on August 13 in the journal Nature Genomic Medicine.
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Research & Technology

Novel approach keeps liquids from freezing

Investigators from the Massachusetts General Hospital Center for Engineering in Medicine (MGH-CEM) have developed a simple method to maintain water and water-based solutions in a liquid state at temperatures far below the usual "freezing point" for greatly extended periods of time.
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Research & Technology

3D electron microscopy reveals Insights into brain circuitry

New research from a team led by Marshall University scientist W. Christopher Risher, Ph.D., reveals novel molecular insights into how multiple cell types drive the formation and maturation of brain circuits.
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Company News

MedNet and Utitec announce cooperation for precision deep drawn and stamped metal components

MedNet GmbH

MedNet GmbH, a Germany-based supplier of medical device components for the European medtech industry, broadens its portfolio by partnering with Utitec, an industry leader in precision deep drawn,...
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