Innovative AI Software Enhances Cancer Immunotherapy Development
AI software enhances cancer immunotherapy development, enabling label-free analysis of cell behavior for improved treatment insights. 🧬💻
October 15, 2024
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Discover the newest research about AI innovations in 🎗 Oncology.
DETECTION OF ORAL SQUAMOUS CELL CARCINOMA USING PRE-TRAINED DEEP LEARNING MODELS.
Recent research highlights the use of deep learning models for early detection of oral squamous cell carcinoma. 🦷📊
October 14, 2024
Smart variant filtering – A blueprint solution for massively parallel sequencing-based variant analysis.
Massively parallel sequencing enhances genomic insights but complicates clinical decisions. 🤖 A new AI-based solution aims to streamline variant analysis. 🧬
October 13, 2024
NHS Trusts Receive £30 Million for Advanced Medical Technology and Research
NHS trusts receive £30 million for advanced medical technology and research. 🏥💰 This funding aims to enhance patient care and expand research capabilities. 📈🔬
October 11, 2024
Machine learning-based discovery of UPP1 as a key oncogene in tumorigenesis and immune escape in gliomas.
Recent research highlights UPP1’s role in glioma progression and immune evasion. Promising target for future therapies. 🧠🔬
October 9, 2024
Machine learning based intratumor heterogeneity signature for predicting prognosis and immunotherapy benefit in stomach adenocarcinoma.
A recent PubMed article explores a machine learning signature for predicting outcomes in stomach adenocarcinoma. 📊🔬
October 9, 2024
Revolutionizing Cancer Treatment with AI-Driven Protein Analysis
AI-driven protein analysis transforms cancer treatment, enhancing diagnosis and drug design. Promising advancements in personalized healthcare. 🧬💡
October 6, 2024
Artificial Intelligence Algorithm for Subclinical Breast Cancer Detection.
AI algorithms may enhance early breast cancer detection, potentially improving personalized screening strategies. 📊🤖 Early detection is crucial for better outcomes.
October 4, 2024
Preoperative Prediction of Her-2 and Ki-67 Status in Gastric Cancer Using 18F-FDG PET/CT Radiomics Features of Visceral Adipose Tissue.
Recent research highlights the potential of 18F-FDG PET/CT radiomics in predicting Her-2 and Ki-67 status in gastric cancer. 📊🔍
September 30, 2024
The Use of Artificial Intelligence in Predicting Chemotherapy-Induced Toxicities in Metastatic Colorectal Cancer: A Data-Driven Approach for Personalized Oncology.
Artificial intelligence enhances chemotherapy toxicity prediction in colorectal cancer, promoting personalized treatment strategies. 🤖💊
September 30, 2024