Stanley Samatanga

Machine Learning (ML) has revolutionized the field of bioinformatics by providing sophisticated tools for analyzing genetic data. This has particularly impacted gene expression analysis, where ML algorithms help identify biomarkers for diseases. In mutation prediction, ML models forecast the effects of genetic changes, aiding in the development of individualized treatments. ML has also enhanced disease diagnostics and drug discovery by enabling the swift analysis of complex biological datasets. Furthermore, ML-driven analytics have accelerated cancer research, leading to greater precision in identifying mutations and designing targeted therapies. The impact of ML on bioinformatics is reshaping the landscape of cancer research, paving the way for personalized medicine and improving patient outcomes.