Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning.

Molecular subtypes of breast cancer are important references to personalized clinical treatment. For cost and labor savings, only one of the patient's paraffin blocks is usually selected for subsequent immunohistochemistry (IHC) to obtain molecular subtypes. Inevitable block sampling error is risky due to the tumor heterogeneity and could result in a delay in treatment.

A core-shell metal-organic-framework (MOF)-based smart nanocomposite for efficient NIR/HO-responsive photodynamic therapy against hypoxic tumor cells.

Core-shell MOF-based smart nanocomposite UCNPs/MB@ZIF-8@catalase (UCNPs = upconversion nanoparticles; MB = methylene blue; ZIF = zeolitic imidazolate framework) has been constructed for bio-imaging and efficient NIR/HO-responsive photodynamic therapy against hypoxic tumor cells. The nanoporous MOF shell can prevent aggregation of photosensitizers and serve as an efficient self-sufficient oxygen gas acceptor.

A multifunctional nanocomposite for luminescence resonance energy transfer-guided synergistic monitoring and therapy under single near infrared light.

By utilizing a drug coordinated to Eu(3+) as a blocker of luminescence resonance energy transfer from the Eu(3+) complex to gold nanotriangles, we successfully implemented multiple functions into one nanocomposite; it operates under single near infrared light and is efficient for the temperature/luminescence monitoring of drug release and synergistic turning-on of photothermal chemotherapy.