The computational prediction of drug responses based on the analysis of multiple types of
genome-wide molecular data is vital for accomplishing the promise of precision medicine in …

Highlights•Image-based profiling uses hundreds of measurements of cell morphology from
images.•Samples with similar phenotypes are grouped based on this unbiased, quantitative …

A major challenge in cancer treatment is predicting the clinical response to anti-cancer
drugs on a personalized basis. The success of such a task largely depends on the ability to …

Cancer treatment is gradually evolving from the classical use of nonspecific cytotoxic drugs
targeting generic mechanisms of cell growth and proliferation. Instead, new “patient‐specific …

Glia are present in all organisms with a central nervous system but considerably differ in
their diversity, functions, and numbers. Coordinated efforts across many model systems …

The identification of effective and long-lasting cancer therapies still remains elusive, partially
due to patient and tumor heterogeneity, acquired drug resistance, and single-drug dose …

One remaining handicap for spatially resolved elemental quantification in biological
samples is the lack of a suitable internal standard (IS) that can be reliably measured across …

Porous membranes are fundamental elements for tissue‐chip barrier and co‐culture
models. However, the exaggerated thickness of commonly available membranes may …

Retinoblastoma is a rare childhood cancer of the eye. Of the small number of drugs are used
to treat retinoblastoma, all have been repurposed from drugs developed for other conditions …

The aim of the present study was to further improve an in vitro 3D osteoblast (OB)–osteoclast
(OC) co-culture model of bone by tuning it towards states of formation, resorption, and …