Results 301 to 310 of about 346,597 (387)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
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

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

open access: yesAdvanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim   +7 more
wiley   +1 more source

The tooth transformer® revolution: autologous dentin biomaterials and platelet concentrates in oral regeneration. A parallel narrative systematic review. [PDF]

open access: yesFront Dent Med
Dipalma G   +9 more
europepmc   +1 more source

Treatment of postpartum depression [PDF]

open access: yes, 2010
Cooper, Peter J   +2 more
core  

Mapping components of behavioural weight management interventions using electronic survey and component selection by expert consensus: the BE:COME Study.

open access: yesHealth Technol Assess
Gregg R   +10 more
europepmc   +1 more source

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