Artificial intelligence in digital pathology — time for a reality check
The past decade has seen the introduction of artificial intelligence (AI)-based approaches aimed at optimizing several workflows across many medica…
The past decade has seen the introduction of artificial intelligence (AI)-based approaches aimed at optimizing several workflows across many medica…
Magnetic nanoparticles, including those formed of superparamagnetic iron oxides (SPIOs), are employed in various magnetic imaging and therapeutic t…
The rise of cellular immunotherapy for cancer treatment has led to the utilization of immune oncology cocultures to simulate T cell interactions wi…
Most biological processes, from development to pathogenesis, span multiple time and length scales. While light-sheet fluorescence microscopy has be…
The presence of a positive deep surgical margin in tongue squamous cell carcinoma (TSCC) significantly elevates the risk of local recurrence. There…
Over the next 5 years, new breast cancer screening guidelines recommending magnetic resonance imaging (MRI) for certain patients will significantly…
Glioblastoma is a highly heterogeneous brain tumor, posing challenges for precision therapies and patient stratification in clinical trials. Unders…
We aimed to develop a machine learning model based on intratumoral and peritumoral 18F-FDG PET/CT radiomics to non-invasively and dynami…
Tumor acidosis causes resistance to immune checkpoint blockade (ICB). We hypothesized that a “pH-sensitizer” can increase tumor extracellular p…