Building the future of medical AI with advanced research in skin disease detection and Alzheimer's diagnosis
Advancing healthcare through cutting-edge AI research
Developing advanced AI models for early detection and classification of various skin conditions. Our research focuses on improving diagnostic accuracy and accessibility in dermatology.
Pioneering AI-driven approaches for early Alzheimer's detection and progression monitoring. Leveraging machine learning to analyze neuroimaging data and identify biomarkers.
Exploring blockchain technology applications for rural development, focusing on transparency, efficiency, and empowerment in rural communities through decentralized solutions.
View on ResearchGateA comprehensive Python package designed specifically for medical science applications, streamlining data processing and image analysis workflows.
Advanced tools for medical data preprocessing, normalization, and quality control
Specialized algorithms for handling various medical imaging modalities
State-of-the-art segmentation techniques for medical image analysis
pip install supto
from supto import ImageProcessor, DataCleaner
# Initialize processors
processor = ImageProcessor()
cleaner = DataCleaner()
# Process medical images
processed_img = processor.preprocess(image)
segmented = processor.segment(processed_img)
# Clean medical data
clean_data = cleaner.clean(raw_data)
normalized = cleaner.normalize(clean_data)At LuminexLabs, we are committed to building the largest and most comprehensive AI healthcare platform. Our current focus on skin disease detection and Alzheimer's research is just the beginning.