A machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary
medicalxpress - A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research presented at the American Association for Cancer Research …
AI Summary: A machine‑learning model trained on DNA methylation signatures can assign tissue‑of‑origin for cancers of unknown primary with promising accuracy. The approach could speed diagnosis, guide therapy choices and reduce reliance on invasive tests—handy when a tumor refuses to tell doctors where it came from.
- ctDNA and AI for treatment monitoring and early detection (3)
- Liquid biopsies and extracellular vesicles for early cancer detection (4)
- Methylation-based ML to identify cancers' tissue of origin (3)
- All Other Stories
ctDNA and AI for treatment monitoring and early detection
Liquid biopsies and extracellular vesicles for early cancer detection
Methylation-based ML to identify cancers' tissue of origin
All Other Stories
Gene therapy improves hearing in 90% of patients with inherited deafness in largest trial of its kind
livescience - A new gene therapy tested in China has improved the hearing of 38 people who were born deaf due to mutations in a gene called OTOF.
AI Summary: A gene therapy for inherited deafness delivered dramatic results, restoring hearing in roughly 90% of treated patients in the largest trial of its kind. Investigators report durable improvements over follow-up, signaling a potential one-time intervention for certain genetic deafness types and challenging the notion that auditory loss is always irreversible. Hope, meet hard data.
- FDA approves first-ever gene therapy for inherited hearing loss (6)
- Primate study finds human-like genetic cause of blindness (1)
- Trial shows durable hearing restored in most patients (3)