Cart(3)
Sale!

NLP (NATURAL LANGUAGE PROCESSING) IN BIOINFORMATICS HEALTHCARE APPLICATIONS

Dr. Omar Isam Al Mrayat is an accomplished academic and researcher currently serving as an Assistant Professor at the College of Information Technology, Amman Arab University (AAU), Jordan. He earned his B.Sc. in Software Engineering from Isra Private University in 2007, followed by an M.Sc. in Information, Networks, and Computer Security from the New York Institute of Technology (NYIT), USA, in 2011. He completed his Ph.D. in Software Engineering and Network Security at the University Science Islam Malaysia (USIM) in 2015. Dr. Al Mrayat’s research interests include requirements engineering, software quality, security, security requirements, software testing, and optimization. He has made significant contributions to these areas through numerous publications and academic engagements. Between 2006 and 2009, he gained practical experience in the software industry, particularly in development and security, which enriched his academic perspective. Transitioning to academia in 2009, he served as an instructor until 2011, demonstrating strong teaching and mentoring skills. At AAU, he is committed to creating a collaborative and dynamic learning environment while guiding students in the evolving fields of information technology and cybersecurity. Dr. Al Mrayat emphasizes the integration of theoretical concepts with real-world applications, aiming to bridge the gap between academia and industry. His dedication to academic excellence and continuous pursuit of innovative research solutions reflects his commitment to advancing knowledge in software engineering and cyber security, making him a respected figure in his field and a valuable mentor to aspiring IT professionals.

Udit Mahajan is a Certified Scrum Product Owner and SAS/Tableau-certified professional with a decade of experience in business intelligence (BI) and analytics. He currently serves as a Business Analytics Lead Analyst at EviCore by Evernorth, part of The Cigna Group, a Fortune 13 company, where he focuses on client analytics, BI transitions, and growth strategies. Udit has a strong track record of building data and analytical products from the ground up at organizations such as American Express Global Business Travel, Allegiant Airlines, Sun Dental Healthcare, and Accenture. His diverse industry experience spans healthcare, consumer packaged goods (CPG), hospitality, financial services, and consulting, equipping him with a comprehensive understanding of cross-sector analytics needs. Udit is highly skilled in collaborating with stakeholders to deliver strategic BI reporting and innovative analytical solutions. He is adept at translating complex data into compelling narratives that drive decision-making and business impact. Known for his ability to lead and inspire high-performance teams, he has a proven history of fostering a culture of collaboration, excellence, and continuous improvement. Udit’s approach combines visionary leadership with a passion for data-driven strategies that deliver measurable business growth. His commitment to delivering actionable insights and building scalable, impactful BI solutions has positioned him as a respected leader in the analytics space. Whether developing new platforms or refining existing systems, Udit consistently focuses on aligning data solutions with business objectives to unlock value and drive innovation.

Dr. Haewon Byeon received the Dr. degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AI-medicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on a 4 projects (Principal Investigator) from the Ministryof Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books.

Dr. Calvin Ronchen Wei Dr. Calvin Ronchen Wei stands at the forefront of computational drug discovery and public health innovation as a Senior Research Associate at Shing Huei Group in Taipei, Taiwan. His pioneering work bridges the gap between advanced computational methods and real-world healthcare challenges, developing novel therapeutics through innovative applications of cheminformatics and bioinformatics. Through his groundbreaking research on emerging pathogens and vaccine development, Dr. Wei has revolutionized approaches to drug discovery and disease prevention. His achievements include designing cutting-edge computational models for identifying therapeutic targets and developing a novel multi-epitope vaccine against Bourbon virus. Simultaneously, he spearheads evidence-based interventions targeting chronic disease prevention in underserved communities, demonstrating his commitment to accessible healthcare solutions.

Description

Natural Language Processing (NLP) has emerged as a transformative technology in bioinformatics, driving significant advancements in healthcare applications. By automating the extraction and analysis of unstructured textual data, such as scientific literature, clinical records, and genomic databases, NLP has enhanced the efficiency and accuracy of biomedical research and patient care. In healthcare, NLP applications are enabling the extraction of valuable insights from clinical notes, improving electronic health records (EHR) management, and assisting in disease diagnosis by analyzing patient histories and symptoms. Additionally, in bioinformatics, NLP is crucial for interpreting genetic data, particularly in variant interpretation, where it facilitates the identification of genetic mutations and their association with diseases. This automation accelerates research in genomics, drug discovery, and personalized medicine by mining gene-disease associations, linking biomarkers to treatment outcomes, and improving genome annotation. Furthermore, NLP tools such as BioBERT and SciSpacy enhance the curation of biomedical literature, allowing researchers to stay up-to-date with the latest findings and discover new therapeutic targets. Despite challenges like data complexity and language ambiguity, NLP continues to revolutionize bioinformatics and healthcare by enabling real-time decision-making, improving patient outcomes, and advancing our understanding of the genetic and molecular basis of diseases. As NLP technologies evolve, their integration into healthcare systems promises to deliver more precise diagnostics, personalized treatments, and a more informed approach to patient care.

Reviews

There are no reviews yet.

Add a review

Your email address will not be published. Required fields are marked *