Research

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.

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.

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.

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.

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.

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.

Smartphone Screening and Referral Increases Access to Care for People with Eye Problems

A smartphone-based eye screening and referral system used in the community has been shown to almost triple the number of people with eye problems attending primary care, as well as increasing appropriate uptake of hospital services, compared to the standard approach. The new findings come from research carried out in Kenya, published in The Lancet Digital Health.

Research News

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

New High-Tech Portal Launched to Speed Hearing Loss Innovations

Smartphone Photos can be Used to Detect Anemia

Using Artificial Intelligence to Overcome Mental Health Stigma

Deep Machine Learning Completes Information about the Bioactivity of One Million Molecules

COVID-19 Origins Still a Mystery

Smartphone Screening and Referral Increases Access to Care for People with Eye Problems

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