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App Tutorials
Learn what this platform offers: oncology calculators and survival analysis tools for clinical decision making and research support.
Complete 7-minute walkthrough of the survival analysis workflow, from data upload to publication-ready Kaplan-Meier curves and statistical analysis.
For Busy Clinicians: Updated 3-minute overview of key features and functionality of the survival analysis tool
Master the foundational Child-Pugh score for liver function. Transition from manual chart review to instant, objective clinical classification at the point of care.
Stop using subjective measures for liver function. Learn why the objective ALBI grade is superior for reproducible clinical triage in HCC.
Calculate 7 essential HCC scores simultaneously—including Child-Pugh, ALBI, MELD-Na, and Milan Criteria—in one unified dashboard.
Synthesize the Mayo Clinic, Brock, and Herder models instantly to determine malignancy risk and guideline-concordant follow-up.
Move beyond traditional screening criteria to sophisticated, evidence-based risk models for high-precision lung cancer detection.
Instantly integrate NCCN guidelines and CAPRA/Epstein scores to identify candidates for active surveillance with total confidence.
Master the IMDC score for Metastatic Renal Cell Carcinoma and bridge the gap from clinical triage to publication-ready data.
A comprehensive deep dive into the Weiss and Helsinki scoring systems to master the pathology and staging of adrenal malignancies.
Deconstruct the IPI, R-IPI, FLIPI, and MIPI scoring systems to automate risk stratification across aggressive and indolent lymphomas.
Automate the Revised-2 International Staging System. Integrate cytogenetics and LDH into your clinical workflow instantly.
Beyond staging: learn to integrate modern risk-stratification with clinical frailty assessments for personalized Myeloma care.
Transform Chronic Lymphocytic Leukemia management by integrating TP53 status, IGHV, and clinical markers in seconds.
Trace the evolution of DLBCL staging and explore how modern DNA tracking is changing the prognostic landscape.
Master the IPSET and Revised IPSET risk models for precise treatment planning in patients with Essential Thrombocythemia.
Learn how to capture structured data during routine Hodgkin Lymphoma assessments to fuel your academic research.
Manage VTE risk in chemotherapy patients while capturing publication-ready data for your next research cohort.
Reclaim your time by automating complex therapeutic pathways using the latest evidence-based breast cancer guidelines.
Utilize the Predict Breast Index tool to translate prognostic variables into actionable bedside treatment strategies.
Master the MSKCC Nomogram to quantify recurrence risk and identify DCIS patients who may safely avoid radiation.
Apply the AGO and iModel scores to predict complete cytoreduction success in recurrent ovarian cancer settings.
The Academic’s Choice: Use the Risk of Malignancy Index (RMI) to triage adnexal masses while building structured data sets.
Integrate O-RADS reporting with automated survival analysis for a complete Ovarian-Adnexal research pipeline.
Integrate the DS-GPA and BSBM models into your workflow to move from clinical guesswork to evidence-based precision in brain metastases.
Utilize the Graded Prognostic Assessment (GPA) to deliver precise survival estimates and guide triage for brain metastases.
Automate survival analysis for spinal metastasis cases to improve clinical triage and maximize academic productivity.
Transform symptom assessment into structured, research-ready data using the Edmonton Symptom Assessment System.
Utilize validated palliative performance scales to ground goals-of-care conversations in objective prognostic data.
Standardize patient assessment across your department to eliminate subjective bias and ensure guideline compliance.
Protect your patients by automating complex opioid conversion math and rotation calculations with OncoToolKit.
A masterclass on the full-circle research workflow: from point-of-care calculation to automated academic insights.