Advancements in Computational Pathology for Precision Oncology
Advancements in computational pathology enhance precision oncology. Foundation models improve accuracy and efficiency in cancer diagnosis. 🧬🔬
Measuring biological age: Insights from omics studies.
Exploring biological age through omics: Genomics, epigenomics, and microbiomics reveal insights into aging and health. 🧬🔬
New Online Tool for Choosing AI Models for 3D Organ Imaging
New online tool aids in selecting AI models for 3D organ imaging, enhancing treatment accuracy for patients. 🩺💻
Establishing Research Priorities in a Tertiary Care Hospital: A Data-driven and Stakeholder-informed Approach.
Data-driven research priorities identified: 25% hospitalizations due to pregnancy-related conditions. Key focus on AI, telemedicine, and patient care. 📊🏥
MRI quantitative imaging biomarkers in differentiating brain parenchymal tuberculoma and lung cancer brain metastases.
MRI radiomics model distinguishes brain tuberculoma from lung cancer metastases with AUC up to 0.986. 📊🧠
Computer-vision based recognition of cervical spine stabilization during trauma resuscitation.
Innovative computer vision system detects cervical spine stabilization techniques with 91% accuracy during trauma resuscitation. 📊🩺
Tributes Paid to Professor Nick Hardiker, a Leader in Nursing Informatics
Professor Nick Hardiker, a respected leader in nursing informatics, has passed away. His contributions to the field will be greatly missed. 🕊️📚
Numerical computation of the stochastic hepatitis B model using feed forward neural network and real data.
Innovative hepatitis B model combines neural networks and real data, revealing key dynamics of virus transmission. 📊🦠