Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated
remarkable progress in image-recognition tasks. Methods ranging from convolutional neural …

Magnetic particle imaging (MPI) has recently emerged as a promising non-invasive imaging
technique because of its signal linearly propotional to the tracer mass, ability to generate …

Isotope tracing has helped to determine the metabolic activities of organs. Methods to probe
metabolic heterogeneity within organs are less developed. We couple stable-isotope …

The integration of magnetic resonance imaging (MRI) for guidance in external beam
radiotherapy has faced significant research and development efforts in recent years. The …

Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations
with variable molecular profiles, aggressiveness, and proliferation potential coexist and …

Phototherapy (including photothermal therapy, PTT; and photodynamic therapy, PDT) has
been widely used for cancer treatment, but conventional PTT/PDT show limited therapeutic …

A lack of accepted standards and standardized phantoms suitable for the technical
validation of biophotonic instrumentation hinders the reliability and reproducibility of its …

Lung cancer is an umbrella term for a subset of heterogeneous diseases that are collectively
responsible for the most cancer-related deaths worldwide. Despite the tremendous progress …

The ability to non-invasively visualize endogenous chromophores and exogenous probes
and sensors across the entire rodent brain with the high spatial and temporal resolution has …

Abstract Machine learning models for the diagnosis of breast cancer can facilitate the
prediction of cancer risk and subsequent patient management among other clinical tasks …