Upcoming Biomedical Informatics Lectures
Research & Application Seminar
Join us live each Thursday at noon at this link: Biomedical Informatics Research & Application Seminar. We recommend viewing the videos using the Google Chrome browser.
You can also join us in the Jo Ellen Ford Auditorium on the first floor of the Institute on Aging for most lectures. Please refer to the announcements below for specific locations.
Accreditation: The University of Arkansas for Medical Sciences (UAMS) College of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Credit Designation: The UAMS College of Medicine designates this live activity for a maximum of one AMA PRA Category 1 Credit(s).TM Physicians should claim only the credit commensurate with the extent of their participation in the activity.
*Please note: The lectures below are available for public viewing only. CME Credit will not be awarded for viewing the recorded versions using the links below. If you would like CME credit for viewing any of the recorded lectures below, please click the “Recorded Sessions for CME Credit” link located in the menu at the bottom of the page. Directions for receiving credit will be provided in the enduring material section.
We recommend viewing the videos using the Google Chrome browser. Click the links to watch the videos.
- Comparative Genomics Application to Metagenome Inference and Epidemic Viruses.
- Bioinformatics for Genomics and Proteomics.
- Bioinformatics for Proteomics.
- Antimicrobial Resistance: The Big Picture & Some Relevant Details.
- Introduction to Microbiomics.
- DNA2Face: Predicting Facial Shape for DNA Sample.
- Identifying the micro from the peta: A tale of big data in the micro world.
- Genomic Basis for Microcephaly in Brazilian Strains of Zika Virus.
- Medical Data & Text Mining – Linking Diseases, Drugs, and ADR.
- Current Approaches in Clinical Cancer Genomics.
- Informatics for Precision Medicine.
- Introduction to Clinical and Clinical Research Informatics.
- Words, Words, Words.
- Arkansas Health Policy.
- Clinical Information Systems.
- Reproducible Research.
- Problem Solving.
- Using Mobile Health.
- Data Fusion.
- Deep Learning.
- What Can a Vein tell Us?
- The Importance of Microbiome.
- So What Happened.
- Data Warehousing.
- FDA Drug Labeling.
- Clinical Research Informatics.
- Health Literacy.
- Informatics for Nano Medicine
- Toward an Analytics-Enabled Medical Record for a Learning Healthcare System
- Control Theoretic Neuroimaging
- Microbiome Data Analysis:Challenges in Biomedical Research
- Using Semantic Web Technologies to Improve Data Quality in Biomedical Research
- Knowledge Representation in Biomedical Informatics
- Bacterial Genomics & Biomedical Informatics to Dissect Cellular Metabolism
- Medical Geography and GIS for Public Health
- Identify Human Neurons Development and Distinct Cell Subpopulations Through Single-Cell Rna-Seq
- The Potential of MinION in Research and Education
- Transforming and Unifying Research with Biomedical Ontologies (Turbo)
- Revisiting Intrinsic Molecular Subtypes in Breast Cancer
- Imaging-Derived Cancer Biomarkers
- Stem Cell Bioprocessing for Regenerative Medicine
- Quantitative MRI Evaluation of Early Brain Development Influenced by Prenatal/Perinatal Factors
- Connectomics: The Promise and the Challenges
- Butyric Acid Fermentation
- Opioid Use Trajectories
- The Application of Metabolomics in Nutrition and Obesity Research
- Immersive Visualization for Medical Applications
- High Performance Computing Facilities at UAMS
- Towards Reproducibility in Neuroimaging Research
- Data Driven Network Analysis of Omics Data in Complex Diseases
- Open Source Strategy for Health Information Technology
- Imaging Informatics in the Age of Big Data and AI
- Interoperability and Standards “By the Numbers”
- Machine Learning in Healthcare
- Cognitive and White Matter Deficits: A Potential Overarching Phenotype for Addiction Risk
- Health Outcomes & Biomedical Informatics
- The New Era of Informatics: Data Science with Heterogeneous Sources
- Transforming Public Health Surveillance through Informatics
- Machine Learning in Feature Space-Adding New Dimensions to Imaging Research
- 21st Century Analytics Workforce in Clinical Informatics
- Pitfalls in Integrating Semantics into Clinical and Clinical Research Data
- Medical Imaging in Anthropology
- The Human Microbiome
- Microbiome Research:From Products to Data
- Genomic Approaches Utilizing Underrepresented Populations to Improve Cardiovascular Health
- Mathematical Modeling used to Predict Tumor Response to Treatment in Breast Cancer for Clinical and Preclinical Investigators
- Natural Language Processing in Bioinformatics
- Sharable Contextualized Potential Drug-Drug Interaction Clinical Decision Support
- Utility of Informatics in Mapping Barretts Espohagus/Esophaegeal Adenocarcinoma Genes
- Data Analytics and Machine Learning in Health Care
- T-patterns and self-similarity over many order of magnitude: detection and analysis
- Biomedical Informatics and Precision Medicine are Laying the Framework for the Next Generation of Discovery
- Deep Learning Applications for Automated Chart Reviews
- Principles of Information Quality
- Jump Start Clinical Research Studies with Cohort Discovery Tools
- Making Persistent Connections Between Researchers and Their Data by Creating Citable Research Artifacts
- Informatics in Neuroimaging for Research: The Why and Wherefore
- Robust Spatial Extent Inference in R using the “pbj” Package (Audio Only)
- Deep Learning for Cancer Biology
- Human Brain Mapping with Magnetoencephalography
- The Use of Standards in the Clinical Practice of Medicine: How Standards such as HL7, DICOM, IHE, and SNOMED Impact the Practice of Medicine
- Comparison of two full-length transcriptomes from black tiger shrimp Penaeus monodon using PacBio and Oxford Nanopore sequencing technologies
- The Big Short with AI in Biomedical Sciences: from Prediction to Action
- Computational Imaging for Precision Medicine: A Quest for Generalizable AI Models
- A World on FHIR: Healthcare Interoperability in the 21st Century
- Protein Profiling Using Hidden Markov Models and its Applications in Biomedicine
- Comparative Immunomics and Nutrigenomics: What Lessons Can we Learn from the Porcine Genome? – Coming April 22, 2021
Contact the Academic Program Director, Tremaine Williams, at email@example.com for assistance with questions related to CME and/or registration.