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Integrate Micro Chips for Electronic Skin

Human skin is a fascinating and multifunctional organ with unique properties originating from its flexible and compliant nature. It allows for interfacing with external physical environment through numerous receptors interconnected with the nervous system. Scientists have been trying to transfer these features to artificial skin for a long time, aiming at robotic applications.

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FDA Informs Health Care Providers, Facilities and Patients about Potential Cybersecurity Vulnerabilities

Today, the U.S. Food and Drug Administration is issuing a safety communication informing health care providers, facilities and patients about cybersecurity vulnerabilities identified for certain GE Healthcare Clinical Information Central Stations and Telemetry Servers. These devices are primarily used in health care facilities for

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eHealthWeek 2020 Croatia - Trusted Information: Transforming Health & Care for All

15 - 17 April 2020, Rovinj, Croatia.
In its capacity of hosting the upcoming Presidency of the Council of the European Union, the Croatian Ministry of Health is in preparations to celebrate the 10th anniversary of the renowned eHealth conference, Europe's largest high-level digital health event.

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VTT Makes New Investments in Digital Health

VTT is launching new research activities in the area of digital health as part of the growing wellbeing and health technology ecosystem in Kuopio. The new initiative aims to create state-of-the-art research based especially on the utilisation of health data, generate new digital health innovations and establish global health technology business in Finland and the Kuopio region.

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AI in Drug Discovery Conference 2020

16 - 17 March 2020, London, UK.
SMi group presents the launch of the inaugural AI in Drug Discovery conference taking place in London. AI-empowered machine learning technologies hold the potential of reducing drug discovery associated costs by US$ 70 billion in the upcoming 10 years. With an estimated +39% CAGR, AI in drug discovery is

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Refining Breast Cancer Classification by Multiplexed Imaging

Breast cancer progression can vary significantly between patients. Even within the same tumor, different areas may be composed of different types of cells and characterized by different tumor structures. This heterogeneity makes it challenging to ascertain the severity of a tumor and assess its molecular subtype, thereby affecting the precision of diagnosis and the choice of the most effective treatment approach.

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Open Call SC1-HCO-19-2020: Reliable and Accessible Information on Cell and Gene-Based Therapies

Cell and gene-based therapies have the potential to treat many debilitating diseases and conditions. However, the pace of their clinical development does not meet public expectations. They face difficulties reaching patients because inter alia the complexity and costs of product development, regulatory hurdles and the non-harmonized procedures for reimbursements. In addition, there are concerns over patient safety due to the use of unproven treatments.

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Edible 'Security Tag' to Protect Drugs from Counterfeit

Manufacturing prescription drugs with distinct markings, colors, shapes or packaging isn't enough to protect them from counterfeiting, U.S. Drug Enforcement Administration reports have shown. Purdue University researchers are aiming to stump counterfeiters with an edible "security tag" embedded into medicine.

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Open Call SC1-HCO-20-2020: Coordination of Clinical Research Activities of the European Reference Networks

European Reference Networks (ERNs) have been established under the Directive on Patients' rights in cross-border health care in view of tackling complex or rare diseases and conditions that require highly specialised diagnostic tools and treatments. ERNs in collaboration with other European initiatives will gain major research potential due to their network structure bringing together highly specialised multidisciplinary expertise

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Man versus Machine: Can AI do Science?

Over the last few decades, machine learning has revolutionised many sectors of society, with machines learning to drive cars, identify tumors and play chess - often surpassing their human counterparts. Now, a team of scientists based at the Okinawa Institute of Science and Technology Graduate University (OIST), the University of Munich and the CNRS at the University of Bordeaux have shown that

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