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
In a phase III trial, lower doses of adjuvant radiotherapy plus docetaxel were associated with reduced toxicity and need for percutaneous endoscopic gastrostomy, with an impact on quality of life
Data from two studies suggest a good rationale for targeting T-cell dysfunction with precision immunotherapy to intercept pre-cancerous lesions
Diverse approaches are investigated in oncology that also include the use of artificial intelligence
Presented studies explore different approaches to predict cancer cachexia and inform on the intra-tumour heterogeneity to personalise treatment
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
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