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Advancing our Understanding of Neurodegenerative Diseases

Tackling Neurodegenerative Diseases

The Livermore Lab Foundation is proud to partner with the Lawrence Livermore National Laboratory (LLNL) to advance collective efforts to diagnose, understand, and treat neurodegenerative diseases, such as Amyotrophic Lateral Sclerosis (ALS), Alzheimer’s, Multiple Sclerosis, and Parkinson’s. This strategic partnership has fueled hope in the fight to find a cure for these types of neurodegenerative diseases.

LLNL Science & Technology Review

Since 2019, LLF has leveraged LLNL’s unique supercomputing, bioengineering, and biosciences core competencies to accelerate collective efforts to diagnose, understand, and treat neurodegenerative disease. To date, we’ve funded nearly $1M in early-stage projects focused on biomarker identification, multimodal data analytics, disease and therapeutic interventions that are yielding important insights into the myriad neurological diseases affecting a growing portion of our aging population. Our portfolio of work has helped advance collective understanding in the broader research community and provided an opportunity to inspire future STEM leaders in the life sciences field

Neurodegenerative Diseases - Who is at Risk?

Learn more about ALS, Alzheimer’s, and Parkinson’s from Dr. Reimer’s Rae Dorough Speaker Series that LLF sponsored.

Current Research Activities

Multimodal Data Analytics

LLF recently funded a pilot project at LLNL to apply multimodal machine learning approaches to help identify ALS risk factors. Modeling long-range, complex correlation among different factors in ALS patients can help us predict its onset and progression.

Physics-Based Modeling

Our research partnership with the ALS CURE Project is enabling exploratory work to better understand the ALS disease mechanism using LLNL’s computational modeling capabilities. Studying molecular driving forces behind ALS-related proteins could lead to the identification of new drug targets and treatment strategies.

Brain-on-a-Chip Platform

LLNL has developed a “brain-on-a-chip” device to better understand neuro-diseases, predict the effects of exposure to toxins, and test pharmaceutical drugs on the brain without the need for human or animal subjects. Lab scientists are currently evaluating the applicability of this platform to support an in vitro ALS model that can be used to assess different therapeutics and treatments.

Identifying
Biomarkers

Understanding
Cellular Mechanisms

Investigating the
Influence of Genetics

Developing New and Effective Treatments

Bill Shuler Fund (11)

Legacy Fund to Support Neurodegenerative Disease Research

LLF is pleased to announce a new restricted fund, the William B. Shuler Fund for Neurodegenerative Research, designed to focus on the Lab’s unique capabilities in neurodegenerative diseases.

Latest News

LLF’s Data Science Fellow

LLF Fellow Ryan Lee built a machine learning algorithm to craft a replica of the human gut microbiome using data analysis and gene classification. The goal was to strengthen and accelerate neuro-disease prediction capabilities without the need for more costly clinical tests with human subjects.  

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April 8 Virtual Event on ALS

Stanford neurologist Dr. Richard Reimer recently discussed common neurodegenerative diseases, their risk factors, and the development of new treatments in a dynamic virtual presentation.

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