Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …

The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve
the integration of artificial intelligence (AI)-based systems into routine practice to support the …

Microfluidic impedance cytometry is a label-free technique for high-throughput single-cell
analysis. Multi-frequency impedance measurements provide data that allows full …

Breast cancer was the most diagnosed cancer in 2020. Several thousand women continue
to die from this disease. A better and earlier diagnosis may be of great importance to …

The development of intelligent blood coagulation diagnoses is awaited to meet the current
need for large clinical time-sensitive caseloads due to its efficient and automated diagnoses …

Imaging flow cytometry (IFC) combines flow cytometry and fluorescence microscopy to
enable high-throughput, multiparametric single-cell analysis with rich spatial details …

Simple Summary Liquid biopsy is non-invasive approach used to prognose and monitor
tumor progression based on the detection and examination of metastasis-related events …

Sorting nanoparticles is of paramount importance in numerous physical, chemical, and
biomedical applications. Current technologies for sorting dielectric nanoparticles have a …

Single-cell imaging and sorting are critical technologies in biology and clinical applications.
The power of these technologies is increased when combined with microfluidics …

Cellular mechanical property analysis reflecting the physiological and pathological states of
cells plays a crucial role in assessing the quality of stored blood. However, its complex …