[AI Seminar Series] REMINDER -- Seminar by Prof. Wei-Chun Chou, Friday May 2, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder for the AI Seminar, this Friday at noon in the MRB Seminar room.

Please use the link below to register if you plan to attend.

Sincerely,

V. Tsotras

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On 4/26/25 6:03 PM, Vassilis Tsotras wrote:
> Dear colleagues,
> the next AI Seminar will be on Friday May 2, 12:00-1:00pm at the MRB 
> Seminar Room (1st floor).
>
> **** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/ai-seminar-series-tickets-1340099526759
>
> The talk will be given by Prof. Wei-Chun Chou, Department of 
> Environmental Sciences, UCR
>
> TITLE:
> "Artificial Intelligence in Nanomedicine: Enhancing Pharmacokinetics, 
> Rational Drug Design, and Drug Delivery Strategies"
>
>
> ABSTRACT:
> Integrating artificial intelligence (AI) and machine learning (ML) 
> into computational modeling frameworks is revolutionizing 
> pharmacokinetic evaluation, offering transformative insights for both 
> small-molecule drugs and the complex field of nanomedicine. This 
> presentation highlights the pivotal role of AI-assisted approaches in 
> predicting nanomedicine absorption, distribution, metabolism, and 
> excretion (ADME) properties, addressing the unique challenges posed by 
> nanoparticle physicochemical characteristics, biological interactions, 
> and the formation of the protein corona. By coupling AI with 
> physiologically based pharmacokinetic (PBPK) modeling and integrating 
> protein corona research, we introduce a novel paradigm that advances 
> rational drug design, optimizes formulation strategies, and improves 
> drug delivery precision. This synergy enhances scalability, reduces 
> experimental burden, and accelerates the development of 
> next-generation nanomedicines with superior therapeutic outcomes. 
> Future directions will also be explored, including multi-modal data 
> integration, neural network-driven simulations, and AI-enhanced 
> predictive modeling to foster innovation in precision nanomedicine and 
> drug design.
>
>
> Bio:
>
> Dr. Wei-Chun Chou is an Assistant Professor in the Department of 
> Environmental Sciences in the College of Natural & Agricultural 
> Sciences at the University of California, Riverside (UCR). He received 
> his Ph.D. in Biomedical Engineering and Environmental Sciences from 
> the National Tsing-Hua University in 2013 and furthered his expertise 
> through postdoctoral training at the Institute of Computational 
> Comparative Medicine at Kansas State University, completing it in 2021.
> Before his current position at UCR, Dr. Chou was a Research Assistant 
> Professor in the Department of Environmental and Global Health at the 
> University of Florida from May 2021 to December 2023. His research 
> focuses on advancing computational technologies, particularly in 
> physiologically based pharmacokinetic (PBPK) modeling, machine 
> learning, and artificial intelligence applications. His research 
> primarily delves into nanomedicine, nanoparticles, and chemical risk 
> assessment, aiming to elucidate their effects on the environment and 
> human health.
> Dr. Chou's contributions to the scientific community are evident 
> through his authorship of over fifty peer-reviewed publications. His 
> dedication and expertise have been recognized with prestigious awards 
> and honors from the Society of Toxicology (SOT). His awards include 
> the Outstanding Young Toxicologist Award from the American Association 
> of Chinese in Toxicology (AACT), the Andersen-Clewell Trainee Award 
> from the Biological Modeling Specialty Section, and the Best Paper 
> Award from the Risk Assessment Specialty Section, reflecting the 
> significance and impact of his contributions to the field.
>
>
> ------------------------------------
> Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents 
> speakers working on cutting edge Foundational AI or apply AI in their 
> research. The goal of these seminars is to inform the UCR community 
> about current trends in AI research and promote collaborations between 
> faculty in this emerging field.
> These seminars are open to interested faculty and graduate students. 
> Please forward this email to other colleagues or graduate students in 
> your lab that may be interested. After the seminar a discussion will 
> follow for questions, open problems, ideas for possible collaborations 
> etc.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> co-Director, RAISE at UCR Institute
>
> Amit Roy-Chowdhury
> Professor, ECE Department
> co-Director, RAISE at UCR Institute