Leveraging artificial intelligence and digital pathology, oncology is entering a transformative stage where advanced image analysis and AI-driven biomarkers enable personalised cancer treatment decisions.
Pathology is going digital. More than 50 AIs cleared for diagnostic use are now available. This article summarises the status quo and gives an outlook of upcoming emerging technologies.
An interview with ESMO President Prof. Fabrice André underscores the importance for any medical oncologist of developing artificial intelligence literacy
The innovative approach was successfully tested on NY-ESO-1 and promises to bypass some current challenges in the identification of T cell receptors for therapeutic use
Research shows that widespread use of artificial intelligence tools is associated with high demand for energy, water and minerals
Diverse approaches are investigated in oncology that also include the use of artificial intelligence
The recipient, Balazs Acs from Karolinska Institutet, will conduct a two-year project to transform the manual aspects of breast cancer pathology into quantitative ones
An initiative fosters inclusive research by improving patient access and participation in cancer research
Real world experience suggests that the integration of digital tools into cancer care may close current gaps in patient outcomes reporting
While the use of artificial intelligence systems is expanding in oncology, ethical issues including biases introduced in care delivery and uneven access to technology raise concerns about whether some patients may be left behind
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