Machine-Learning

Overview The LabStat Analyze Project is a revolutionary initiative designed to transform healthcare through advanced artificial intelligence. By leveraging cutting-edge AI technology, LabStat Analyze empowers healthcare systems to efficiently analyze medical laboratory data and imaging results, such as X-rays and MRIs. Mission To bridge the gap between complex medical data and actionable insights, aiding in disease diagnosis with a robust suite of machine learning and deep learning-powered analytics. Core Technology 🤖 Advanced AI & Machine Learning LabStat Analyze utilizes state-of-the-art artificial intelligence to: ...

Abstract This research applies advanced bioinformatics and machine learning techniques to analyze the clustering and regulation of P53 and CENPA genes in MCF10A cells. Using gene expression profiles and the K-means clustering algorithm, we identify patterns of gene regulation and co-expression networks. Introduction P53 - The Guardian of the Genome The P53 tumor suppressor gene plays a critical role in: Cell cycle regulation DNA repair Apoptosis Genomic stability CENPA - Centromere Function CENPA (Centromere Protein A) is essential for: ...

Citation (MLA Format) Eroltu, Kaan, and Mahir Yusuf Açan. “A Comparative Study of Machine Learning Algorithms for Parkinson’s Disease Diagnosis.” 3 Apr. 2023. Abstract This research presents a comprehensive comparative study of various machine learning algorithms for the diagnosis of Parkinson’s disease. The study evaluates the performance, accuracy, and clinical applicability of different ML approaches in early detection and diagnosis of this neurodegenerative disorder. Research Overview Parkinson’s Disease Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by: ...