2024
Over the past decade, my research has focused on harnessing the power of artificial intelligence (AI) and machine learning (ML) to drive advances in translational research and precision medicine. My sustained efforts in these fields aim to catalyze significant healthcare innovations through advanced computational methods. The key themes of my research over this period include:
2022
2021
2020
2019
2018
2017 & Beyond:
- Gueorguieva PJ, Hasan Mahbubul, Reed E. Obstetrics Team Satisfaction, Communication and Readiness for Emergencies Through Dedicated Simulations: Quality Improvement Project. Scientific Day. May 2024.
- Kazmi SH, Hasan Mahbubul, Youskievicz S, Vazzalwar R, Prazad P. Correlation of Oxygen Saturation Index and Oxygenation Index in Neonates With Persistent Pulmonary Hypertension Treated With Inhaled Nitric Oxide. Scientific Day. May 2024.
- Studebaker N, Oram R, Marsh M, Henschen E, Hasan Mahbubul, et al. PO and GO: Improving Pediatric Antibiotic Stewardship at Hospital Discharge. Scientific Day. May 2024.
- Krasity B, Hasan Mahbubul, Uppuluri S, Prazad P. Standardization of Urinary Tract Infection Diagnosis in the Neonatal ICU: Experience at a Tertiary Care Center. Advocate GME. February 2024. [Link to Full Text].
- Studebaker N, Oram R, Marsh M, Henschen E, Hasan Mahbubul, et al. Antibiotic Appropriateness at Hospital Discharge: An Opportunity for Stewardship. Scientific Day. May 2024.
- Nezon D, Okafor C, Hasan Mahbubul, Park M, McKenzie Gupta S. Comprehension of Pediatric Discharge Instructions: Do Gaps Exist for Caregivers Who Prefer to Communicate in a Language Other Than English? Scientific Day. May 2024.
Over the past decade, my research has focused on harnessing the power of artificial intelligence (AI) and machine learning (ML) to drive advances in translational research and precision medicine. My sustained efforts in these fields aim to catalyze significant healthcare innovations through advanced computational methods. The key themes of my research over this period include:
- Translational Research Utilizing AI and ML: My long-term commitment to reducing the gap between laboratory discoveries and clinical applications has involved the use of AI and ML to develop predictive models that dramatically accelerate the research-to-treatment pipeline.
- Research papers:
- Natural Language Processing in Medicine: My research explores the use of NLP to extract meaningful information from unstructured medical data, such as patient records, clinical notes, and research articles. This includes developing algorithms that can interpret complex medical texts to assist in diagnosis, treatment planning, and patient monitoring.
- Research papers:
- Precision Medicine through Machine Learning: For over ten years, I have been developing algorithms that leverage vast arrays of biological and clinical data to facilitate personalized medical treatments, a cornerstone of modern healthcare customization.
- Research papers:
- Deep Learning for Cognitive Diagnostic Assessment (CDA): I have pioneered the use of deep learning technologies to refine cognitive diagnostic assessments, enhancing the precision and reliability of tools used to diagnose cognitive health and disorders.
- Research papers:
- Data Science Education: I have been dedicated to promoting and enhancing data science education, designing curricula that equip learners with essential skills for analyzing and interpreting complex healthcare data effectively.
- Research papers:
- Biostatistics and Data Science: My research applies robust biostatistical methods to solve complex problems in healthcare, ensuring that decisions are informed by scientifically valid and clinically relevant data.
- Research papers:
- Ethical AI Use in Healthcare: Consistently advocating for the responsible use of AI in healthcare, my work emphasizes ethical considerations, focusing on data privacy, security, and equitable access to technological advancements.
- Research papers:
2022
2021
2020
2019
2018
2017 & Beyond:
