
Artificial intelligence in oncology: Current status and possibilities (Review).
AI in oncology enhances diagnostics, treatment planning, but faces challenges like dataset bias and ethical issues. π€ποΈ
Discover the newest research about AI innovations in π€ Personalized Medicine.

AI in oncology enhances diagnostics, treatment planning, but faces challenges like dataset bias and ethical issues. π€ποΈ

AI tool may personalize ovarian cancer treatment from diagnosis, aiding patient response predictions. π€ποΈ

Deep learning predicts endometrial cancer subtypes with 86.7% accuracy, aiding personalized treatment strategies. ππ©Ί

Molecular mechanisms in atherosclerosis reveal new therapies: immunomodulatory vaccines, RNA therapeutics, and AI integration. π©Ίππ

Machine learning predicts survival in small cell lung cancer with brain metastases. RSF model shows AUCs up to 0.809! ππ§

AI enhances IVF success rates with VaTEP model, predicting pregnancy outcomes using video and clinical data. ππ€°

New biomarkers TLR2, CCR1, IRF8, and CCL4 show promise for atherosclerosis diagnosis and treatment response. ππ

AI in Antibiotic Discovery & Prescribing: Enhancing Precision Medicine & Stewardship. π€π

Exploring biological age through omics: Genomics, epigenomics, and microbiomics reveal insights into aging and health. π§¬π¬

AI revolutionizes prostate cancer detection, enhancing mpMRI accuracy and personalizing treatment strategies. Significant advancements detailed in our review. ππ€