Extended Joint Models for Longitudinal and Survival Data

Precision HLA typing from next-generation sequencing data

Platform for Oncogenomic Reporting and Interpretation (PORI)

Methods for subgroup identification / personalized medicine / individualized treatment rules

SCassist : An AI Based Workflow Assistant for Single-Cell Analysis

LLM-Personalized-Medicine

Patient-Specific Modeling in Python

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

Deep Treatment Learning (R)

Personalized Network-based Anti-Cancer Therapy Appointment

IAN: An Intelligent System for Omics Data Analysis and Discovery

Front-end web client for the GraphKB project

Integrated Pipeline Reports (IPR) API, the reporting API as part of the PORI platform

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

A machine learning system for identification of ovarian response and deployment of ovarian stimulation strategies in ART

A Do-It-Yourself AI-based module for your personalized interstitial glucose 30-min prediction! Compatible with different OS through Dockerization. Your data, your personalized model, and the execution are performed locally, without sharing anything with anyone! This module has been validated with real CGM data collected from 29 people with T1D.

Benchmarking computational methods for B cell receptor reconstruction from single cell RNA-seq data

REST API for the GraphKB project