Fariha Khaliq

National University of Sciences & Technology, Pakistan

Title: Decoding degeneration: the implementation of machine learning for clinical detection of neurodegenerative disorders

Abstract

Machine learning represents a growing subfield of artificial intelligence with much promise in the diagnosis, treatment, and tracking of complex conditions, including neurodegenerative disorders such as Alzheimer’s and Parkinson’s diseases. While no definitive methods of diagnosis or treatment exist for either disease, researchers have implemented machine learning algorithms with neuroimaging and motion-tracking technology to analyze pathologically relevant symptoms and biomarkers. Deep learning algorithms such as neural networks and complex combined architectures have proven capable of tracking disease-linked changes in brain structure and physiology as well as patient motor and cognitive symptoms and responses to treatment. However, such techniques require further development aimed at improving transparency, adaptability, and reproducibility. In this webinar, I will provide an overview of existing neuroimaging technologies and supervised and unsupervised machine learning techniques with their current applications in the context of Alzheimer’s and Parkinson’s diseases.

Biography

Fariha Khaliq completed her master’s in biomedical sciences from National University of Science and Technology, Pakistan. Her Masters project dealt with classifying rare pulmonary diseases using machine learning. She spearheaded the conceptualization, writing and submission of an invited review article on the implementation of machine learning algorithms in the clinical detection of neurodegenerative diseases. She acted as a corresponding author on this article which is published in Neural Regeneration Research, with an impact of 6.058. Fariha has been interviewing for PhD positions in top-tier universities across the world, with focus on United Kingdom. She intends to continue her research in further developing novel machine learning algorithms to predict and/or diagnose severe and complicated neurodegenerative disorders.

2nd International Conference on Neuroscience and Neurology

Fariha Khaliq

Title: Decoding degeneration: the implementation of machine learning for clinical detection of neurodegenerative disorders

Abstract

Biography

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