
Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis.
Evaluating machine learning in oncology: 89% low bias, but reporting gaps persist. ππ
Discover the newest research about AI innovations in π Oncology.

Evaluating machine learning in oncology: 89% low bias, but reporting gaps persist. ππ

Atropos Health partners with Ontada to enhance oncology data use, improving patient care and treatment protocols. ππ

AI-driven MSI profiling in lung cancer shows 0.52% prevalence, high TMB, and potential for personalized immunotherapy. ππ¬

Hippocratic AI partners with Burjeel Holdings to enhance healthcare delivery in the MENA region using generative AI. π€π

Recent research highlights the role of multi-omics and machine learning in improving hepatocellular carcinoma outcomes. ππ¬

Study reveals minority underrepresentation in AI mammogram analysis, raising concerns about fairness and accuracy in breast cancer detection. ππ€

Recent research highlights neutrophil diversity in glioblastoma, revealing a VEGFA+ prognostic model for improved treatment strategies. π§¬π‘

AI tool improves prediction of focal therapy success in prostate cancer, enhancing treatment outcomes for patients. π€π©Ί

Recent advancements in materials science are transforming drug delivery systems, enhancing precision medicine. π§¬π Explore nanocarriers, hydrogels, and AI integration.

Google’s new AI models aim to enhance drug discovery and improve health information access. π§¬π