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AI tool DNAscent identifies cancer treatment response by analyzing DNA replication stress, paving the way for more effective, less toxic therapies.
Researchers from the University of Queensland and the University of Cambridge have developed an AI platform called DNAscent that analyzes DNA replication in cancer cells to improve chemotherapy effectiveness and reduce side effects.
By combining AI with DNA sequencing, the tool detects DNA replication stress—when replication forks stall or collapse—helping identify biomarkers that predict how individual tumors respond to treatment.
This could enable more targeted therapies that spare healthy cells, potentially reducing common side effects like hair loss and blood disorders.
While not yet ready for clinical use, DNAscent outperforms previous methods and may also apply to other diseases, including malaria.
In Australia, where about 170,000 new cancer cases are expected in 2025, survival rates have improved over the past 30 years despite rising case numbers.
La herramienta de IA DNAscent identifica la respuesta al tratamiento del cáncer mediante el análisis del estrés de replicación del ADN, allanando el camino para terapias más efectivas y menos tóxicas.