Results 191 to 200 of about 386,074 (314)
A miniaturized drug sensitivity and resistance testing (DSRT) workflow based on the Droplet Microarray (DMA) platform enables functional drug testing using minimal patient‐derived tumor material. By screening nanoliter‐scale droplets containing as few as 300 cells, this approach generates reproducible and tumor‐specific drug response profiles ...
Maryam Salarian +7 more
wiley +1 more source
A brief history of dopamine prediction errors. [PDF]
Dudhabhate BB, Costa KM.
europepmc +1 more source
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan +12 more
wiley +1 more source
Engaging the Next Generation: Designing an Experiential Intensive Care Unit Workshop on Neurologic Emergencies for Medical Students From Diverse Backgrounds. [PDF]
Guinat M +6 more
europepmc +1 more source
Microengineered Gradient Hydrogels for Mechanobiology
Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong +4 more
wiley +1 more source
Causal attributions shape the formation of novel ability self-beliefs. [PDF]
Mayer AV +7 more
europepmc +1 more source
Detecting Medical Simulation Errors with Machine learning and Multimodal Data
Daniele Di Mitri
openalex +1 more source
Training error, generalization error and learning curves in neural learning
A neural network is trained by using a set of available examples to minimize the training error such that the network parameters fit the examples well. However, it is desired to minimize the generalization error to which no direct access is possible. There are discrepancies between the training error and the generalization error due to the statistical ...
openaire

