{"id":20316,"date":"2025-10-05T11:03:29","date_gmt":"2025-10-05T09:03:29","guid":{"rendered":"https:\/\/thesmartcityjournal.cibeles.net\/sin-categoria\/making-sense-out-of-vast-amounts-of-biomedical-data-with-ai\/"},"modified":"2025-10-05T11:19:59","modified_gmt":"2025-10-05T09:19:59","slug":"making-sense-out-of-vast-amounts-of-biomedical-data-with-ai","status":"publish","type":"post","link":"https:\/\/www.thesmartcityjournal.com\/en\/healthtech\/making-sense-out-of-vast-amounts-of-biomedical-data-with-ai","title":{"rendered":"Making sense out of vast amounts of biomedical data with AI"},"content":{"rendered":"

Researchers invent new artificial intelligence solutions to turn vast amounts of medical data into actionable insights<\/span><\/i><\/p>\n

Genomes, proteomes, metabolomes, exposomes \u2013 when it comes to human cells and tissues, there\u2019s no shortage of data. The question is: \u2018what do we do with it\u2019?<\/span><\/p>\n

\u201cWe have vast amounts of data, but existing methods for dealing with this data are limited,\u201d explains Natasa Przulj(opens in new window), a professor of Computational Biology at Mohamed bin Zayed University of Artificial Intelligence(opens in new window) in Abu Dhabi. \u201cThis makes it extremely difficult for the scientific and medical communities to actually use this data in practice.\u201d<\/span><\/p>\n

Artificial intelligence (AI) could help.<\/span><\/p>\n

With the support of the EU-funded ICON-BIO(opens in new window) project, Przulj has developed advanced AI methods that can fuse vast amounts of data, transforming them into actionable information that can improve medical treatment.<\/span><\/p>\n

From data to disease treatment<\/h2>\n

The project, which received support from the European Research Council(opens in new window), has successfully developed a number of AI methods that can help treat such diseases as various types of cancer, COVID-19 and Parkinson\u2019s.<\/span><\/p>\n

The solutions are designed to advance the personalisation of medicine. For example, several algorithms have led to the discovery of new biomarkers and drug targets. They can also be used to stratify patients into subgroups based on individual treatment needs.<\/span><\/p>\n

\u201cBy producing state-of-the-art AI methods for precision medicine, our work is improving medical care for all,\u201d says Przulj.<\/span><\/p>\n

Simplicity the key to using AI methods<\/h2>\n

The ICON-BIO project stands out not only by being one of the first to develop new AI methods for multi-omics data fusion, but also by its commitment to simplicity.<\/span><\/p>\n

\u201cWe quickly discovered that the more complex an AI method is, the less understandable and hence usable it becomes,\u201d adds Przulj. \u201cBy keeping our solutions simple, we ensure that users can better understand and controllably and sustainably exploit the available data.\u201d<\/span><\/p>\n

Beyond being explainable and easy-to-use, the project\u2019s AI methods are data and energy-efficient, meaning they are also sustainable solutions.<\/span><\/p>\n

Inspiring future generations of female researchers and scientists<\/h2>\n

Przulj is now busy working on more sophisticated AI methods \u2013 methods that promise to bring medical data utilisation to the consumer. As part of this effort, Przulj plans to integrate her methods into an industry-ready precision drug discovery software platform. Once complete, the platform will be available for many precision medicine and pharmacology applications, including drug, target, and biomarker discovery.<\/span><\/p>\n

But ICON-BIO\u2019s legacy goes well beyond its scientific results. \u201cAs a female-led initiative, I hope our work inspires future generations of women to join the fast-paced and exciting field of artificial intelligence in biomedicine,\u201d concludes Przulj.<\/span><\/p>\n

Przulj notes that the project\u2019s success could not have been achieved without the help of her outstanding scientific team, including Noel-Malod Dognin, a senior scientist in her lab.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Researchers invent new artificial intelligence solutions to turn vast amounts of medical data into actionable insights Genomes, proteomes, metabolomes, exposomes \u2013 when it comes to human cells and tissues, there\u2019s no shortage of data. 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