Results 121 to 130 of about 145,182 (282)
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
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv +10 more
wiley +1 more source
Algorithmic bias and research integrity; the role of nonhuman authors in shaping scientific knowledge with respect to artificial intelligence: a perspective. [PDF]
Oduoye MO +3 more
europepmc +1 more source
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang +9 more
wiley +1 more source
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions.
Denisa Gándara +3 more
doaj +1 more source
The Impact of Algorithms on Decision-Making in Daily Life: A Polling Study of Technology Users
Algorithms have become an integral part of everyday life, particularly in entertainment, shopping, and navigation. This study examines how algorithms influence individual decision-making.
Dwi Yuniarto +3 more
doaj +1 more source
Interrogating Algorithmic Bias: From Speculative Fiction to Liberatory Design. [PDF]
Gaskins N.
europepmc +1 more source
Controlled laser‐drilling of embedded HfO2 membranes creates three layer nanopores with Gaussian‐shaped cavities sculptured in the supporting layers. These embedded solid‐state nanopores slow DNA translocation by 12‐fold compared to SiNx pores, enabling high‐resolution, label‐free detection of short DNAs, RNAs, and proteins.
Jostine Joby +4 more
wiley +1 more source
This article analyzes the role of legal interpretation in mitigating algorithmic bias within electronic contracts. In a digital era where algorithms increasingly influence the formation, interpretation, and execution of contracts, algorithmic bias can ...
Sebastian ANTOCE
doaj +1 more source
Moving beyond "algorithmic bias is a data problem". [PDF]
Hooker S.
europepmc +1 more source

