Artificial intelligence is starting to transform life sciences by accelerating drug discovery and development, optimizing clinical trials, and creating personalized treatments for cancer patients, speakers said at the Sept. 18 unveiling of the American Association for Cancer Research 2024 Cancer Progress Report.
COTA joined Panalgo’s Partner Network to make their hematologic oncology data available via Panalgo’s Instant Health Data Analytics platform.
A research team at MedUni Vienna developed a method which utilizes multi-omics and machine learning to identify prostate cancer patients for whom surgical treatment is the best option, potentially avoiding unnecessary surgery in patients with a lower risk of tumor spread.
Astera Cancer Care, a partner of the One Oncology Network, has partnered with Knowtex to develop advanced voice and generative AI workflows tailored specifically for oncology.Â
Simon Nazarian was named executive vice president and chief digital and technology officer at City of Hope. He will join the institution on Sept. 9.Â
Researchers at Indiana University School of Medicine, Mayo Clinic, Washington University in St. Louis, the University of Pennsylvania, Columbia University, and Intel received a five-year, $3.7 million NCI grant for a multi-site study developing a privacy-preserving artificial intelligence approach—called federated learning—which aims to improve breast cancer risk prediction and reduce health inequities in cancer prevention care.
A study recently published in BJUI Compass found that Unfold AI, an FDA-cleared artificial intelligence algorithm developed by Avenda Health, accurately predicted extracapsular extension risk (ECE) and outperformed conventional methodologies.
Artera, the developer of multimodal artificial intelligence-based prognostic and predictive cancer tests, announced an update to the ArteraAI Prostate Test, enabling clinicians to make more informed decisions about active surveillance when delivering care to prostate cancer patients.
VOICES of Black Women, the largest population study of Black women in the United States, will be the first of American Cancer Society’s large-scale population studies to be initiated using an AI-driven data management platform—promising to bring observational cancer research out of the age of Excel data files and email sharing.
AI system identifies genes that can convert brain cancer cells into functioning immune cells in mice
In an innovative new study of glioblastoma, scientists used artificial intelligence to reprogram cancer cells, converting them into dendritic cells, which can identify cancer cells and direct other immune cells to kill them.
