Extended Joint Models for Longitudinal and Survival Data
Precision HLA typing from next-generation sequencing data
Methods for subgroup identification / personalized medicine / individualized treatment rules
Platform for Oncogenomic Reporting and Interpretation (PORI)
Patient-Specific Modeling in Python
LLM-Personalized-Medicine
Deep Treatment Learning (R)
Personalized Network-based Anti-Cancer Therapy Appointment
Front-end web client for the GraphKB project
Integrated Pipeline Reports (IPR) API, the reporting API as part of the PORI platform
TrialMatchAI aims to seamlessly match cancer patients to clinical trials based on their unique genomic and clinical profiles using AI
Medical Diagnosis Prediction and Personalized Health Care Recommendation System With Web Dashboard
Integrated Pipeline Reports (IPR) client. The web interface for the reporting application as part of PORI
A python package for standardized and reproducible processing, analysis, and integration of clinical proteomics data
Python adapter package for querying the GraphKB API
Python adapter for generating reports uploaded to IPR using the PORI platform
A machine learning system for identification of ovarian response and deployment of ovarian stimulation strategies in ART
REST API for the GraphKB project
A package for parsing and recreating HGVS-like variant notation used in GraphKB
Benchmarking computational methods for B cell receptor reconstruction from single cell RNA-seq data
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