SciforyouTHE TOOLKIT
One workflow. Six focused tools.
Choose the part of research you need to move forward. Product availability and platform support are stated below.
Sciforyou provides software tools only. We do not write papers or manuscripts for customers, offer academic ghostwriting, or guarantee publication.
01 / 06 · RESEARCH LANDSCAPE
Bibliometrics
Turn bibliographic records into publication trends, collaboration networks, co-citation maps, and topic-evolution figures.
Import records, adjust chart parameters, and export high-resolution figures for reviews, dissertations, and bibliometric papers.
02 / 06 · EVIDENCE SYNTHESIS
Systematic Review Workspace
Plan searches, screen studies with traceable AI assistance, review full texts, and extract values with source-page references.
The desktop app prepares searches for multiple databases and keeps project files on your computer. AI-assisted steps send the necessary text to third-party model providers.
03 / 06 · APP C
Meta-analysis Statistics
Pool effect sizes, examine heterogeneity, run subgroup and sensitivity analyses, and create forest and funnel plots.
Statistical analysis does not require AI. App C is included with the all-modules subscription, not sold as a standalone module.
04 / 06 · PUBLIC DATA
SciDatabase
Explore public biomedical datasets with guided templates, then clean and analyze the delivered dataset locally.
Some datasets, including MIMIC and eICU, require your own credentials and data-use agreements. The service does not grant access to restricted data.
05 / 06 · MACHINE LEARNING
Clinical Prediction Models
Compare models from a CSV file with common splits and metrics. Export ROC, calibration, decision curves, SHAP views, and report figures.
For research and education. Outputs are not clinical advice or a validated diagnostic device.
06 / 06 · RESEARCH PLANNING
Experimental Figure Simulation
Use 14 experimental templates to simulate possible figure layouts before an experiment, then measure and arrange the results locally.
Every generated result is a prediction or simulation, not observed experimental data. Do not present it as an actual experiment.