
Non-small cell lung cancer subtype classification based on cross-scale multi-instance learning.
Revolutionary model achieves 97% accuracy in classifying lung cancer subtypes! ππ¬ Robust across diverse datasets!
Discover the newest research about AI innovations in π Oncology.

Revolutionary model achieves 97% accuracy in classifying lung cancer subtypes! ππ¬ Robust across diverse datasets!

AI in Oncology: Enhancing Symptom Management & Patient Care π€π

AI in healthcare: ChatGPT & DeepSeek show promise in clinical decision-making, but face challenges like bias & privacy. π€π

AI-Enhanced ICD Coding in Gynecologic Oncology: Llama-2-13B Model Achieves 95% Accuracy! ππ€

Technological advancements in antibody therapeutics: 144 FDA-approved drugs, $267B sales, and AI-driven discoveries. ππ
New AI model improves breast cancer recurrence prediction by analyzing imaging and clinical data. Promising results for patient monitoring. ππ€

AI aids in developing personalized cancer vaccines by identifying neoantigens, enhancing immune response against tumors. π§¬π

Early hypopharyngeal carcinoma: AI and ME-NBI enhance detection; minimally invasive surgery improves outcomes. ππ

AI models predict pain relief in colorectal cancer patients: 73.8% improved, AUC 0.9167. Key insights from PubMed study. ππ

AI model suggests 40% of breast cancer patients may avoid axillary surgery. This could reduce unnecessary procedures. π€π