Dr. Hammad Naveed is an Associate Professor of Computer Science and the Director of the Computational Biology Research Lab at the National University of Computer & Emerging Sciences (NUCES-FAST), Islamabad Pakistan. He is also the Director of the Lahore campus of NUCES-FAST. He received his PhD in Bioinformatics from University of Illinois at Chicago (2012). He is currently exploring avenues to convert research into products for the betterment of the society.
In this talk, I will discuss the use of natural language processing methods to read scientific literature and learn the implicit features that cause certain genetic mutations to be pathogenic. Precisely, our method ingests the bio-medical literature and produces its fixed representation via exploiting state of the art NLP methods like word2vec and tf-idf. These representations are then fed to machine learning predictors to identify the pathogenic versus neutral variations. I will also discuss the use of deep learning methods to classify breast cancer into four classes. I will discuss the use of scaled networks to diagnose the various stages of breast cancer. Finally I will also demonstrate the use of the power of digital media to discover the under-reported side effects of marketed drugs. All of our methodologies significantly outperform previous state-of-the-art studies on publicly available datasets.