Results 131 to 140 of about 238,428 (248)
GelDrop Array High-Throughput Screening in Nematodes. [PDF]
Wan X, Sternberg PW.
europepmc +1 more source
Phenotypic and molecular characterization of a serum-free miniature erythroid differentiation system suitable for high-throughput screening and single-cell assays [PDF]
Sachith Mettananda +5 more
openalex +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
High-throughput screening reveals diverse lambdoid prophage inducers. [PDF]
Nair G, Fatima R, Hynes AP.
europepmc +1 more source
High-throughput screening of clinically approved drugs that prime nonviral gene delivery to human Mesenchymal stem cells [PDF]
Tyler Kozisek +5 more
openalex +1 more source
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek +4 more
wiley +1 more source
Discovery of 5‑Chlorotryptophan-Containing Antibiotics through Metabologenomics-Assisted High-Throughput Screening. [PDF]
Bader CD +8 more
europepmc +1 more source
High Throughput Screening: A Simplified Protocol to Verify Pipetting Acccuracy [PDF]
Alfred Akowitz
openalex +1 more source

