HIAS Core is an open-source server for hospitals and medical centers, designed to control and manage a network of intelligent IoT connected devices and applications.

This project uses YOLO for real-time leukemia detection in blood samples and CNNs for classifying brain hemorrhages in MRI scans. It aims to support faster, more accurate medical diagnostics through deep learning.

This project uses YOLO for real-time leukemia detection in blood samples and CNNs for classifying brain hemorrhages in MRI scans. It aims to support faster, more accurate medical diagnostics through deep learning.

Gene expression and feature selection

This repository showcases a database of 10,000 generated IR spectrum samples of leukemia cases (N=5000) and healthy controls (N=5000). Only the fingerprint region (1800 cm^-1 to 850 cm^-1 at 4 cm^-1 resolution) was considered.

Scripts from Costea et al. 2024

Novel diagnostic and therapeutic options for KMT2A-rearranged acute leukemias

Description of the computational workflow employed for the single-cell Alternative Splicing (AS) analysis from Costea et al., 2024

Empowering healthcare with AI, LeukoVision automates the detection of leukemia cells in blood smear images. Revolutionizing leukemia care with speed and accuracy.

Acute Myeloid Leukemia (AML) is one of the most life-threatening type of blood cancers, and its accurate classification is considered and remains a challenging. This study addresses the classification of the multiclasses of AML cells Utilizing three deep learning models: ResNet50, YOLOv12, and Inception-ResNet50 v2.

LeukemiaLens is a research aggregation and filtering tool for leukemia-specific queries for scholarly articles from PubMed that have been enriched with relevant metadata