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AIM-AHEAD Introductory Course: AI for Health Care Applications

Enrollment Oct 2 - Starts Oct 19 2023

This self-guided course presents basic concepts underlying AI/ML as applied to health care data. NOTE: Enrollment starts Oct2, Kick-Off on Oct 19th. In Fall 2023 interactive office hours via Zoom are being offered with the course developers to answer...

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173 Learners · Python Notebook AI/ML for Health Care

AI/ML for Frontline Healthcare Workers

Practical AI/ML Knowledge to Enhance Your Daily Work

Course Description Designed with Frontline Healthcare Workers in mind, this asynchronous course offers a unique opportunity to unlock the potential of Artificial Intelligence (AI) and Machine Learning (ML) without the need for coding expertise. While...

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74 Learners · Healthcare AI ML Concepts Data Roles Diagnostic AI EHR Imaging Modalities Privacy Regulations CDSS Integration Health Equity

Open Data Science & AI/ML

Welcome to the AIM-AHEAD Open Data Science & AI/ML Course

OPEN DATA SCIENCE & AI/ML About this Course This is an asynchronous, self-directed course for beginner- and intermediate-level learners. The main presentations and Jupyter Notebooks in this course were adopted from IBM's OpenDS4All repository. ...

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176 Learners · OpenDS4All AI Trust Data Science Ethics

All of Us Researcher Workbench On-Demand Training

All of Us Research Program Workshop Series

All of Us Researcher Workbench On-Demand Training This is a self-directed course. This course was adopted from the AIHES2022 and PRIME programs, sponsored by the AIM-AHEAD Data Science Training Core. All course videos were recorded Fall 2022 as part ...

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147 Learners · AllofUs AoU Data

2023 AI for Health Equity Symposium: Virtual Conference & Workshop Series

AIHES Conference

Course Description Step into the world of Artificial Intelligence (AI) and Machine Learning (ML) where experts discuss timely and cutting-edge topics at the intersection of AI/ML and health equity. Experience the best of the 2-day conference and 4-we...

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22 Learners · AIHES AI/ML Ethics

AI-CARES Webinar Series

AI-CARES

AI-CARES: Artificial Intelligence Career Advancement and Resources Webinar Series Join our ongoing webinar series that details current NIH resources that support the use of data science, AI, and machine learning for advancing health equity. Why Atte...

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293 Learners · AI Career Advancement

R for Data Science

Social Determinants of Health

Course Directors La’Marcus T Wingate, PharmD, PhDLa’Marcus Wingate is an Associate Professor in Social and Administrative Pharmacy Sciences at the Howard University College of Pharmacy where he also serves as Director of Assessment. He obtained his P...

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68 Learners · Social determinants of Health Health disparities R R studio data visualization cancer data science

VADSTI Data Science Training Program

Data Science Approaches to Better Understand Clinical and Genomic Informatics

This free online program presents the recorded live virtual lectures and discussions, as well as the assignments and supplementary resources made available for participants in Howard University's Virtual Applied Data Science Training Institute (VADST...

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153 Learners · analytics probability data visualization classification models data clustering dimensionality reduction predictive models

Unconscious Bias

Welcome to the Unconscious Bias Course

What is Unconscious Bias? Unconscious Bias is a prejudice we have or an assumption we make about another person based on common cultural stereotypes, rather than on thoughtful judgement. Nobody is immune from unconscious bias, regardless of race/et...

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89 Learners · Unconscious Bias Microaggressions Disparities

Data Science Training Core Portal

Data Science Education for All

The DSTC Portal provides educational resources for learners to gain valuable data science skills to advance health equity. The content provides a strong focus on data science ethics, machine learning (ML), and artificial intelligence (AI), and includ...

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129 Learners

Achieving Health Equity through Real-World Data and Health Information Technology

Using real-world health data to address health disparities

Faculty and Contact Information: Course Director Elham Hatef, MD, MPH, FACPM Assistant Professor, Department of Medicine, Johns Hopkins School of Medicine Core Faculty at Johns Hopkins Center for Population Health IT (CPHIT),...

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15 Learners · Health Equity Real-World Data Health IT

2023 AI for Health Equity Symposium: Ethics in AI/ML

AIHES Conference

Course Description In an era defined by transformative technological advances in healthcare, the integration of Artificial Intelligence (AI) and Machine Learning (ML) stands as a pivotal force in research. This short didactic course, guided by esteem...

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29 Learners · AIHES AI EThics Responsible AI Machine Learning Ethics AI for Health Equity

Omics: Big Data in Biology

Learn the basic principles of omics knowledge, NGS technologies, biomedical databases, bioinformatics tools and machine learning.

Instructor Dr. Shaolei Teng is a Bioinformatician and Biostatistician. He is an Associate Professor and Associate Chair in the Department of Biology at Howard University. He received his PhD in Biochemistry and Molecular Biology from Clemson U...

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20 Learners · biology omics genomics NGS big data