Results 71 to 80 of about 703,591 (347)

Googling Patients

open access: yesVoices in Bioethics, 2022
Photo by Christian Wiediger on Unsplash INTRODUCTION Huge amounts of public data on the internet and the ease with which we regularly search it have resulted in the phenomenon called Patient-Targeted Googling (PTG). PTG occurs when a clinician conducts an online search for information about a patient through any search engine, internet database, or ...
openaire   +4 more sources

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

Optimizing quantum gates towards the scale of logical qubits

open access: yesNature Communications
A foundational assumption of quantum error correction theory is that quantum gates can be scaled to large processors without exceeding the error-threshold for fault tolerance.
Paul V. Klimov   +23 more
doaj   +1 more source

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

open access: yesTransactions of the Association for Computational Linguistics, 2021
Human evaluation of modern high-quality machine translation systems is a difficult problem, and there is increasing evidence that inadequate evaluation procedures can lead to erroneous conclusions.
Markus Freitag   +5 more
doaj   +1 more source

The Excitement of Google Scholar, the Worry of Google Print [PDF]

open access: yesBiomedical Digital Libraries, 2005
Abstract In late 2004 Google announced two major projects, the unveiling of Google Scholar and a major expansion of the Google Print digitization program. Both projects have generated discussion within the library and research communities, and Google Print has received significant media attention.
openaire   +3 more sources

Guides for Developing Hundreds of Novel Chiral MXenes and MBenes Nanosheets/Quantum Dots for Next‐Generation Chiral Engineered Biomaterials Applications

open access: yesAdvanced Healthcare Materials, EarlyView.
The emerging field of MXene/MBene materials has progressed rapidly, advancing diverse research fields, including biomedical engineering, biomedicine, agriculture, and the environment. This nanobiotechnology can tackle longstanding challenges in these areas.
Alireza Rafieerad, Ahmad Amiri
wiley   +1 more source

Caravan - A global community dataset for large-sample hydrology

open access: yesScientific Data, 2023
High-quality datasets are essential to support hydrological science and modeling. Several CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets exist for specific countries or regions, however these datasets lack standardization,
Frederik Kratzert   +11 more
doaj   +1 more source

Intro to Google Maps and Google Earth

open access: yesProgramming Historian, 2013
Google My Maps and Google Earth provide an easy way to start creating digital maps. With a Google Account you can create and edit personal maps by clicking on My Places.
Josh MacFadyen   +2 more
openaire   +3 more sources

Shedding Light on the Cellular Uptake Mechanisms of Bioactive Glass Nanoparticles as Controlled Intracellular Delivery Platforms: A Review of the Recent Literature

open access: yesAdvanced Healthcare Materials, EarlyView.
This review summarizes the main uptake pathways of bioactive glass nanoparticles (BGNs) and their intracellular localization, highlighting that BGNs are mainly internalized and entrapped within endosomes/lysosomes. Strategies for controlled intracellular ion release, with implications for targeted modulation of cell behavior, are discussed. The need to
Andrada‐Ioana Damian‐Buda   +1 more
wiley   +1 more source

A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

open access: yesCommunications Medicine, 2022
Gomes et al. develop machine learning models for gestational age and fetal malpresentation assessment on fetal ultrasound. The authors optimize their system for use in low-resource settings, using novice ultrasound operators, simplified imaging protocols,
Ryan G. Gomes   +29 more
doaj   +1 more source

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