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Artificial Intelligence Models to Analyze Cancer Images Take Shortcuts that Introduce Bias

Artificial intelligence tools and deep learning models are a powerful tool in cancer treatment. They can be used to analyze digital images of tumor biopsy samples, helping physicians quickly classify the type of cancer, predict prognosis and guide a course of treatment for the patient.
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New High-Tech Portal Launched to Speed Hearing Loss Innovations

Researchers at the University of Maryland School of Medicine (UMSOM) launched a new online tool that could more quickly advance medical discoveries to reverse progressive hearing loss. The tool enables easy access to genetic and other molecular data from hundreds of technical research studies involving hearing function and the ear.
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Smartphone Photos can be Used to Detect Anemia

A picture of a person's inner eyelid taken with a standard smartphone camera can be used to screen for anemia, according to a new study published this week in the open-access journal PLOS ONE by Selim Suner of Brown University and Rhode Island Hospital, USA, and colleagues.
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EU Digital COVID Certificate Enters into Application in the EU

European CommissionThe EU Digital COVID Certificate Regulation enters into application. This means that EU citizens and residents will now be able to have their Digital COVID Certificates issued and verified across the EU. 21 Member States as well as Norway, Iceland and Liechtenstein had already started to issue certificates ahead of today's deadline, and five EU countries are starting now.
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Using Artificial Intelligence to Overcome Mental Health Stigma

Depression is a worldwide problem, with serious consequences for individual health and the economy, and rapid and effective screening tools are thus urgently needed to counteract its increasing prevalence. Now, researchers from Japan have found that artificial intelligence (AI) can be used to detect signs of depression.
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Deep Machine Learning Completes Information about the Bioactivity of One Million Molecules

The Structural Bioinformatics and Network Biology laboratory, led by ICREA Researcher Dr. Patrick Aloy, has completed the bioactivity information for a million molecules using deep machine-learning computational models. It has also disclosed a tool to predict the biological activity of any molecule, even when no experimental data are available.
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COVID-19 Origins Still a Mystery

Scientists using computer modelling to study SARS-CoV-2, the virus that caused the COVID-19 pandemic, have discovered the virus is most ideally adapted to infect human cells - rather than bat or pangolin cells, again raising questions of its origin.

In a paper published in the Nature journal Scientific Reports, Australian scientists describe how they used high-performance computer modelling of the form of the SARS-CoV-2 virus at the beginning of the pandemic to predict its ability to infect humans and a range of 12 domestic and exotic animals.

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More eHealth News ...

  1. Smartphone Screening and Referral Increases Access to Care for People with Eye Problems
  2. AI App could Help Diagnose HIV More Accurately
  3. Commission to Invest €14.7 Billion from Horizon Europe for a Healthier, Greener and more Digital Europe
  4. New Web Tool Fights Antibacterial Resistance
  5. EU Digital COVID Certificate
  6. Helping Doctors Manage COVID-19
  7. Online Survey Successful in Gathering COVID-19 Data at Scale

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