Results 61 to 70 of about 63,594 (281)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

133 Development of a customized tracking dashboard to enhance support for NIH Funded Investigator-Initiated Clinical Trials

Journal of Clinical and Translational Science
Objectives/Goals: Early identification and profiling of planned studies is a critical administrative challenge in providing timely support for clinical trials.
Katie Keenoy, Suresh Vedantham, Emily Lake, Emily Asbury, Chris Sorensen, Sherry Lassa-Claxton   +5 more
doaj   +1 more source

ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data. [PDF]

, 2019
Objectives:Electronic health record (EHR) data are increasingly used for biomedical discoveries. The nature of the data, however, requires expertise in both data science and EHR structure.
Butte, Atul J, Datta, Debajyoti, Frazier, Remi, Giangreco, Nicholas, Glicksberg, Benjamin S, Larsen, Rick, Lee, Nelson, Oskotsky, Boris, Rudrapatna, Vivek, Tatonetti, Nicholas P, Thangaraj, Phyllis M   +10 more
core  

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Using Lessons from Health Care to Protect the Privacy of Library Users: Guidelines for the De-Identification of Library Data based on HIPAA [PDF]

, 2005
While libraries have employed policies to protect the data about use of their services, these policies are rarely specific or standardized. Since 1996 the U.S.
Nicholson, Scott, Smith, Catherine Arnott   +1 more
core  

BioCloud Search EnGene: Surfing Biological Data on the Cloud [PDF]

, 2014
The massive production and spread of biomedical data around the web introduces new challenges related to identify computational approaches for providing quality search and browsing of web resources.
DESSI, NICOLETTA, MILIA, GABRIELE, Pascariello E, PES, BARBARA   +3 more
core   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Use of a data warehouse at an academic medical center for clinical pathology quality improvement, education, and research

Journal of Pathology Informatics, 2015
Background: Pathology data contained within the electronic health record (EHR), and laboratory information system (LIS) of hospitals represents a potentially powerful resource to improve clinical care.
Matthew D Krasowski, Andy Schriever, Gagan Mathur, John L Blau, Stephanie L Stauffer, Bradley A Ford   +5 more
doaj   +1 more source

California Physician Facts and Figures [PDF]

, 2010
Examines trends in the state's supply of primary care physicians, including demographics, specialties, and education and training; acceptance of new patients by coverage type; family and general practitioner compensation; and medical group ...
Craig Paxton
core  

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source