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ShareScore release 0.9.0
Dataset results
94 results for “Generative AI”
Datasets accompanying Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer
<p>These datasets accompany the manuscript "Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer".</p> <p>The datasets include:</p> <ul> <li> <p><code>metadata.tsv.gz</code> Phenotype information of the samples</p> </li> <li> <p><code>mirna_counts.tsv.gz</code> MicroRNA count matrix (for data normalization)</p> </li> <li> <p><code>oncrna_counts.tsv.gz</code> oncRNA count matrix</p> </li> <li> <p><code>orion/</code> Ensemble of Orion models</p> </li> </ul>
"water droplet on a leaf" - epistemic insight and an AI generated image
Open the record for dataset details and reuse information.
Assessing the Influence of Personal Traits, Experiences, and Attitudes on the Perception and Evaluation of AI-generated Artworks
<p>data AI-image paper</p>
AI-Generated WhatsApp Reminders vs. No Reminders: Impact on Oral Health in Young Adults
ClinicalTrials.gov study NCT06897033. IPD Sharing: UNDECIDED. Countries: 0. Publications: 15.
Scalable, Clinician-Supervised Generative-AI Food-Chaining Assistant for Pediatric ARFID
ClinicalTrials.gov study NCT07006961. IPD Sharing: YES. Countries: 0. Publications: 3.
Oral ENPP1 inhibitor designed using generative AI as next generation STING modulator for solid tumors
GEO Series GSE277788. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Data augmentation with Generative AI for DoW attack detection in serverless architectures
<p>Serverless computing is one of the latest paradigms in cloud computing. It offers a framework for the development of event-driven applications whose functions are executed in a scalable environment provided by the corresponding cloud platform. In this way, resources are obtained on demand, paying only for the time the function is running. This new model has new vulnerabilities and, therefore, new types of cybersecurity attacks. However, there are still not enough transaction datasets for serverless systems with a sufficient amount of data to develop advanced detection methods for this type of threat. Therefore, we present this dataset that has been built with generative AI to advance the development of models that can effectively deal with these threats.</p>
Enhanced Valves Interventions and Safe AI Generated End Results
ClinicalTrials.gov study NCT07213531. IPD Sharing: NO. Countries: 5. Publications: 0.
Film-Based Music Therapy With AI-Generated Verbal Guidance for Anxiety in Young Adults
ClinicalTrials.gov study NCT07359950. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Comparison of AI-Generated Pain Scoring Visuals With Visual Analog Scale (VAS) for Pain Assessment
ClinicalTrials.gov study NCT06456853. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of AI-Generated Clinical Advice by Physicians
ClinicalTrials.gov study NCT06980467. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Using Generative Artificial Intelligence (AI) to Create Patient-Friendly Discharge Summaries
ClinicalTrials.gov study NCT06711458. IPD Sharing: NO. Countries: 1. Publications: 0.
A Second-generation AI Based Therapeutic Regimen in Patients With Gaucher Disease Treated With Enzyme Replacement Therapy.
ClinicalTrials.gov study NCT06050967. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AI-Generated Video Feedback to Improve Technical Skills in Coronary Artery Bypass Grafting
ClinicalTrials.gov study NCT07400172. IPD Sharing: YES. Countries: 1. Publications: 0.
Trust in AI and Digitalization in Healthcare Across Generational Groups: A Comparative Study of Barriers and Facilitators Toward Equitable Adoption.
ClinicalTrials.gov study NCT07265427. IPD Sharing: NO. Countries: 1. Publications: 0.
An AI-Generated, Personalized Question Prompt List Intervention for Patients With Hematologic Cancers
ClinicalTrials.gov study NCT07226934. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients
ClinicalTrials.gov study NCT06859216. IPD Sharing: YES. Countries: 1. Publications: 0.
A Study on Predicting the Risk of Distant Metastasis in Breast Cancer Using AI-Generated Spatial Pathological Maps
ClinicalTrials.gov study NCT07244094. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis
ClinicalTrials.gov study NCT07301892. IPD Sharing: NO. Countries: 1. Publications: 0.
Exploring the Effectiveness of AI Generative Models for Diabetic Patients
ClinicalTrials.gov study NCT05883072. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.