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Data management

Electronic patient records, diagnostic values, study cohorts: data management has become a central component in healthcare - in diagnostics and therapy as well as in medical research.

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Machine learning

Covid-19 diagnosis with improved accuracy, preserved privacy

Researchers in the UK and China have developed an AI model that can diagnose Covid-19 as well as a panel of professional radiologists, while preserving the privacy of patient data.

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Hybrid imaging

‘We need to drive standardisation in scanning’

Professor Regina Beets-Tan, President of the European Society of Radiology (ESR), looks on possible future developments in cancer imaging. AI is very promising in this regard, 'However, it has proven…

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Cybersecurity in hospitals

Ransomware: The race between attackers and defenders

Since 2015, the number of known ransomware attacks has not only increased substantially across many industries. Hospitals, and the healthcare industry in general, have also become favorite targets of…

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Regulatory issues

Genetic data privacy, the GDPR, and research needs: a delicate balance

The EU’s General Data Protection Regulation (GDPR) has created a great deal of uncertainty about how key requirements should be interpreted. This means that collaborators in international genetic…

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Increased processing power

Personalizing cancer treatment with quantum computing

Cancer patients’ medical records can often comprise up to 100 terabytes of individual — and usually very heterogeneous — data, including blood and tumor values, personal indicators, sequencing…

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Clinical intelligence

Dedalus and Rx.Health partner to 'liberate' healthcare data

Healthcare software company Dedalus announced its strategic partnership in North America with Rx.Health, an AI-based digital health unification and clinical intelligence platform. The partnership…

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Siemens Healthineers and Flywheel

Partnership for healthcare research collaboration

Medical data management company Flywheel announced a partnership and enterprise license agreement with Siemens Healthineers. Under the agreement, Flywheel will deliver a cloud-based research collaboration solution on the Siemens Healthineers teamplay digital health platform. Rolling out first in North America, the teamplay collaboration solution will enable Siemens Healthineers and its many…

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Preprogrammed bias?

AI and the gender gap: Data holds a legacy of discrimination

Technologies based on artificial intelligence (AI) are considered the epitome of progress. However, the data AI algorithms use to draw their conclusions is outdated. It ignores the existence of biological sex and socio-cultural gender and their effects on individual health and disease states. Thus, the ‘thinking machines’ not only reproduce discriminating bias and prejudices but also produce…

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Inconceivable?

Many fertility apps not exactly fussy about data privacy, study shows

The majority of top-rated fertility apps collect and even share intimate information without the users’ knowledge or permission, a collaborative study by Newcastle and Umea Universities has found. Researchers are now calling for a tightening of the categorisation of these apps by platforms to protect women from intimate and deeply personal information being exploited and sold.

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Disease management

Covid-19 and beyond: Unlocking the value of diagnostic data

Diagnostic data from the massive amounts of testing being conducted can help make health systems more resilient in dealing with future health crises and pandemics. The importance of diagnostic data was explored during the Medtech Europe online session, “Unlocking the Value of Diagnostic Information – how to make European Health Systems more resilient?” where delegates heard that…

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Shepherding medical data

Machine learning platform turns healthcare data into insights

Over the past decade, hospitals and other healthcare providers have put massive amounts of time and energy into adopting electronic healthcare records, turning hastily scribbled doctors' notes into durable sources of information. But collecting these data is less than half the battle. It can take even more time and effort to turn these records into actual insights — ones that use the learnings…

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Information distribution

Experts urge solution to health data transfer barriers

Legal challenges hamper the sharing of health data with researchers outside the EU/European Economic Area (EEA), a new report by European academy networks concludes. The authors call for solutions to overcome these barriers to ensure timely and straightforward research collaboration in the public sector and thereby maximize health benefits for European citizens.

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Digital health company

Brainlab acquires Mint Medical

Brainlab, a digital medical technology company, announced today the acquisition of Mint Medical GmbH, a Heidelberg-based company that develops image reading and reporting software for clinical routine and research. The acquisition underscores the Brainlab commitment to digital health and aims to improve the structured diagnosis, analysis and treatment of cancer and other diseases to address the…

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Images and patient data combined

Integrated radiomics improves clinical outcomes

Harnessing the power of radiomics, and adopting an integrated approach to combine imaging and patient data could lead to better clinical cancer outcomes. The move has opened the door for clinicians to explore a non-invasive approach to identify the heterogeneity of a tumour and more accurately target regions for biopsy. During a presentation at ECR 2021 in March, Professor Evis Sala will…

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'Chaimeleon' project

Removing data bias in cancer images through AI

A new EU-wide repository for health-related imaging data could boost development and marketing of AI tools for better cancer management. The open-source database will collect and harmonise images acquired from 40,000 patients, spanning different countries, modalities and equipment. This approach could eliminate one of the major bottlenecks in the clinical adoption of AI today: Data bias.

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Risk of miscalculations

Researchers point out flaws in current Covid-19 models

Reports from Imperial College regarding the spread and the effects of Covid-19 had considerable policy impacts in several European countries. But the models that informed the reports have considerable flaws, and are not sufficient to draw the conclusions that were published. This is according to researchers from universities including Linköping University (LiU), in an article in Nature.

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Virology

Digital epidemiology in the Covid-19 war

Digital epidemiology is on the frontline in the Covid-19 war, with innovative techniques used to observe and monitor this viral spread across populations. Its increasingly important role was outlined to a virtual session at Medica 2020 by theoretical biologist Professor Dirk Brockmann. In a keynote presentation ‘Perspective of digital epidemiology – opportunities, promises and challenges’,…

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Joint Imaging Platform (JIP)

If the data won't come to the algorithm...

The new Joint Imaging Platform – JIP for short – is a flexible, decentralized analysis platform for medical images. The JIP was initially developed for the German Cancer Consortium (DKTK) sites. It is designed to facilitate cross-institutional imaging projects and to help meet the technical and legal challenges associated with the joint use of imaging data.

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Managing coronavirus testing

Successful pilot study for new COVID-19 screening management software

With COVID-19 testing an important part of controlling the spread of the virus, finding an effective software system to manage the testing process and collate the results, on a national level and individually within businesses, hospitals, care-homes and schools etc., is essential. Thomson Screening developed SchoolScreener Imms in order to manage health testing within schools, but with the…

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DNA analysis platform

Performing whole genome data analysis in just a few hours

Research and innovation hub in nanoelectronics and digital technologies, imec, announced elPrep5, the newest version of its software platform for DNA analysis. Obtaining identical results, elPrep5 is eight to 16 times faster than the genome analysis toolkit (GATK) — the widely-accepted standard reference. The imec platform encompasses the full analysis pipeline from data preparation to variant…

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Digitising healthcare

Virtual assistants and digital twins advance personalised medicine

Siri and Alexa are leading the way: the virtual assistants meet many daily needs. Soon, similarly programmed software and a ‘digital patient twin’, will be launched into the medical world – both IT applications based on Artificial Intelligence (AI). The virtual medical assistant and digital patient twin are two key aspects of a research project ‘Models for Personalised Medicine’.…

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Brain tumor treatment network

'Federated learning' AI approach allows hospitals to share patient data privately

To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a solution to this dilemma, according to a study…

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