Results 31 to 40 of about 329,541 (261)

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

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 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

Detecting shortcut learning for fair medical AI using shortcut testing

open access: yesNature Communications, 2023
Machine learning (ML) holds great promise for improving healthcare, but it is critical to ensure that its use will not propagate or amplify health disparities.
Alexander Brown   +5 more
doaj   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

open access: yesAdvanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa   +10 more
wiley   +1 more source

Metabolic Regulation of Dimethylsulfoniopropionate Cleavage and Dimethyl Sulfide Production in Halomonas sp. D47

open access: yesAdvanced Science, EarlyView.
Dimethylsulfoniopropionate (DMSP) is a major marine organosulfur compound central to climate‐relevant dimethyl sulfide (DMS) production. In Halomonas sp. D47, DMSP catabolism is revealed to be coordinated by two transcriptional regulators, AcuR and AcuZ, which control gene expression by sensing DMSP and its metabolites.
Li‐Yuan Zheng   +16 more
wiley   +1 more source

Time-Aware Language Models as Temporal Knowledge Bases

open access: yesTransactions of the Association for Computational Linguistics, 2022
Many facts come with an expiration date, from the name of the President to the basketball team Lebron James plays for. However, most language models (LMs) are trained on snapshots of data collected at a specific moment in time.
Bhuwan Dhingra   +5 more
doaj   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

open access: yesAdvanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li   +23 more
wiley   +1 more source

Transforming wearable data into personal health insights using large language model agents

open access: yesNature Communications
Deriving personalized insights from popular wearable trackers requires complex numerical reasoning that challenges standard LLMs, necessitating tool-based approaches like code generation.
Mike A. Merrill   +19 more
doaj   +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

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