AICMSH

AI-Driven Computational Medicine and Smart Health Lab

Empowering Precision Medicine and Health Equity Through AI-Driven Innovation

About AICMSH

The AI-Driven Computational Medicine and Smart Health Lab (AICMSH) at Howard University focuses on harnessing artificial intelligence, machine learning, and big data analytics to revolutionize healthcare. The lab integrates data from clinical records, genomics, sensors, IoT, and digital platforms to:

Develop predictive models for early disease detection
Enhance precision medicine for personalized care
Empower proactive healthcare through actionable insights

Mission

To combine advanced AI with smart health technologies, promoting interdisciplinary research that improves patient outcomes through innovation.

Our Team

Director

Dr. Basheer Qolomany

Collaborators

Dr. James G. Taylor
Dr. Sergei Nekhai
Dr. Wai Lim Ku
Dr. Magdalena Misiak
Dr. Hassan Ashktorab
Dr. Hassan Brim
Dr. Zaki Sherif

Students & Scholars

Graduate/Undergraduate Students and Visiting Scholars

Featured Projects

Sickle Cell Disease Decision Support

Developing an AI-powered system to optimize blood transfusion protocols and reduce risks such as iron overload.

Colorectal Cancer Detection and Risk Stratification

Computer-aided detection tools and predictive models focused on African American populations.

Alzheimer’s Disease and Cognitive Health

Using AI to model disease progression and simulate interventions across diverse datasets.

Resilience Modeling in CEP Systems

Research on disaster, cyber, and infrastructure resilience through advanced computational models.

Publications

[To be updated with links to journal articles and conference papers.]

News

[Updates on grants, recognitions, and research progress to appear here.]

Join the Lab

If you’re interested in collaborating or joining the lab, email us a motivation letter, CV, and transcripts.

Contact

Email: basheer.qolomany@howard.edu

Phone: (202) 555-1234

Location: Howard University, College of Medicine