Goal #1: Advance clinical and translational science

Housed within the Siteman Cancer Center, the <a href="https://research.washu.edu/core-facilities/biologic-therapy-core-facility-siteman-cancer-center/" target="_blank" rel="noopener noreferrer">Biologic Therapy Core Facility</a> (BTCF) partners with physicians and scientists to manufacture, characterize, and release complex, clinical-grade cell and gene therapy products, imaging agents, and other biologics to support early-phase clinical trials.&nbsp;The BTCF also supports cellular (e.g. hematopoietic stem cell selections) and tissue therapies (e.g. parathyroid cryopreservation) for Barnes-Jewish Hospital patient care. In addition, the BTCF serves as a source of institutional expertise in current Good Manufacturing Practices (cGMP) to investigators across the institution to ensure strict adherence to phase-appropriate cGMP procedures &amp; regulations in order to provide the highest level of drug or biologic, or cellular product quality for clinical trials…&nbsp;Read the full article <a href="https://icts.wustl.edu/icts-supported-facility-accelerates-translation-of-promising-research-into-improving-outcomes-for-cancer-and-other-related-diseases/" target="_blank" rel="noopener noreferrer">here</a>.

Washington University in St. Louis Institute of Clinical and Translational Sciences

Concurrent Manufacturing lab at the Biologic Therapy Core Facility

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Washington University

ICTS-Supported Facility Accelerates Translation of Promising Research into Improving Outcomes for Cancer and Other Related Diseases

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Goal #7:  Training and career support programs for translational scientists

Undergraduate students doing undergraduate research projects, masters degree candidates doing thesis research, and doctoral students doing dissertation research, all have a common need, which is obtaining expert advice about statistics.&nbsp;What they learn in their one or two statistics courses is never sufficient.&nbsp;The material in statistics texts and courses are limited to simple questions and data examples.&nbsp;Real world research questions are always more complex, and data are always messy, so the students must seek help.&nbsp;Without Departmental funding, they must turn to their professors.&nbsp;Their professors are not sufficiently trained in statistics to provide expert advice.&nbsp;Both the students and professors end up having a bad experience.&nbsp;The result is that students become discouraged about doing research, and professors become discouraged about providing students with research opportunities.&nbsp;No matter what degree they are working on, B.S., M.S., or Ph.D., statistics students are not provided with enough real-world research problems to train on to make them experts at analyzing data upon graduation.&nbsp;Potential employers are reluctant to even interview them for statistician positions if they do not have statistician work experience on their résumés. The Clinical and Translational Science Institute at the University of Utah has solved this problem.&nbsp;We offer a service to student researchers called Stat Lab to provide them with expert statistical consultations at no cost to them…&nbsp;&nbsp;Read the full article <a href="https://ctsi.utah.edu/news/2025/04/stat-lab-students-consulting-students" target="_blank" rel="noopener noreferrer">here</a>.

Utah Clinical & Translational Science Institute

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University of Utah

Stat Lab: Students Consulting for Students

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Goal #6: Enhance training programs 

Date: July 28 to August 1, 2025Time: 9:00 a.m. - 5:00 p.m. ETLocation: Virtual or In-Person&nbsp;This intensive program includes expert instruction, interactive coding labs, and project-based learning using R, Python, and open health datasets. Daily sessions focus on core themes such as:<ul><li>Introduction to biostatistics and data collection</li><li>Correlation, regression, and data exploration</li><li>Group comparisons and inference</li><li>Power analysis and introductory machine learning</li><li>AI in health research and a capstone project</li></ul>Participants will leave with a stronger ability to analyze health data, collaborate across disciplines, and apply AI methods in research settings. We welcome learners from clinical, academic, and public health backgrounds. The cost is $2,000 per participant, but GHUCCTS affiliates&nbsp;can use code&nbsp;GHUCCTSAI2025&nbsp;for a discounted rate of $950&nbsp;Registration Deadline:&nbsp;Sun, July 27, 2025 Register for the event <a href="https://www.georgetownhowardctsa.org/news-events/event-calendar/the-2025-ghuccts-ai-colab-summer-intensive-workshop-health-data-biostatistics-and-ai" target="_blank" rel="noopener noreferrer">here</a>.&nbsp;

Georgetown-Howard Universities Center for Clinical and Translational Science

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Georgetown University

The 2025 GHUCCTS AI CoLab Summer Intensive Workshop: AI, Biostatistics, & Data Science

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ICTS-Supported Facility Accelerates Translation of Promising Research into Improving Outcomes for Cancer and Other Related Diseases