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Biomedical Data Science Innovation Lab

iTHRIV is excited to share the 2024 Biomedical Data Science Innovation Lab topic:

Building Partnerships for Generative AI Training in Biomedical and Clinical Research.

 

The goal of the 2024 Biomedical Data Science Innovation Lab (BDSIL) is to foster the formation of new interdisciplinary collaborations which will generate creative strategies on the use of data science approaches for creating new strategic partnerships between AI developers, biomedical researchers, and educators. The Lab is designed as an extended, exciting, hybrid program of online team-building activities, a series of scientific and mentor presentations, and lectures by guest speakers, all culminating in a five-day in-person intensive event. In addition, it is an all-expenses-paid experience

 

WHEN: June 16-20, 2024 (Virtual Microlabs: May 3/ May 17 / May 31)

WHERE: Bahia Resort Hotel in San Diego, California

WHO: US-based researchers at the late-stage post-doctoral and early-stage junior faculty levels are welcome to apply. Women scientists and researchers from under-represented minorities are particularly welcome and highly encouraged to apply. 

APPLICATIONS ARE NOW OPEN 

Read more here: https://www.innovation.lab.virginia.edu/

Apply Here: https://www.innovation.lab.virginia.edu/2024-lab

iTHRIV was a proud sponsor of the 2021-2022 Biomedical Data Science Innovation Lab: Ethical Challenges of Artificial Intelligence, held at the Boar's Head Inn from June 13th-17th, 2022

 

Read the description below and click through slide-show to get a glimpse inside the conference.

Artificial Intelligence (AI) has great potential to assist in biomedical decision making. However, such systems are not immune from making erroneous recommendations, struggling to maintain patient privacy, and which give rise to vexing questions about their suitability across genders, ethnic, or cultural communities.  The goal of the 2021-2022 Biomedical Data Science Innovation Lab was to foster the formation of new interdisciplinary collaborations which would generate creative strategies for addressing ethics of artificial intelligence (AI) in biomedicine.  

 

This Biomedical Data Science Innovation Lab intended to bring together expertise from the mathematical, statistical, basic science, and clinical biomedical fields, to address interdisciplinary topics in biomedical data science critical to how AI is implemented in clinical decision making. Members of the NIH-NCATS community are important contributors to these conversations.  

 

The 2021-2022 Biomedical Data Science Innovation Lab sought to highlight the challenges of ethically working with datatypes in support of AI systems and how AI might be made ethical against best practice recommendations.  Inter-disciplinary collaborations that formed during the Biomedical Data Science Innovation Lab could result in new peer-reviewed publications or NIH/NSF grant proposals to further develop, refine, and test hypotheses and develop original research project ideas.    

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