A group of investigators led by Cedars-Sinai have developed and successfully tested a new artificial intelligence method to make launching cancer clinical trials easier and faster. The method uses patients’ pathology reports to automate the classification of patients by the severity of their cancers, potentially shortening the process of selecting candidates for clinical trials.
Moderna and Merck announced median five-year follow-up data from the phase IIb KEYNOTE-942/mRNA-4157-P201 study, evaluating intismeran autogene (mRNA-4157 or V940), an investigational mRNA-based individualized neoantigen therapy, in combination with Keytruda (pembrolizumab), Merck’s anti-PD-1 therapy, in patients with high-risk melanoma (stage 3/4) following complete resection.
