#MachineLearning essentials for #biomedical #DataScience. Our freely available #educational video series examining they key elements, best practices, and pitfalls to consider when assembling an ML analysis pipeline. And more! Cedars-Sinai Academic Medicine Dept. of Biostatistics, Epidemiology & Informatics youtube.com/playlist?list=…

Register by Feb 9th - for AI Campus Spring 2024 at Cedars Sinai. Currently open to staff, students, post-docs, and faculty working at Cedars Sinai Cedars-Sinai Academic Medicine. #MachineLearning #ArtificialIntelligence #DataScience #Biomedicine #research

New video introducing Automated #MachineLearning (#AutoML). What is it? What open-source AutoML tools or libraries are available? And how do I go about selecting one to use? youtu.be/IjX0phz3LLE #ArtificialIntelligence #DataScience Cedars-Sinai Academic Medicine Dept. of Biostatistics, Epidemiology & Informatics

New video tutorial of STREAMLINE Automated #MachineLearning . Includes: Intro to AutoML, intro to STREAMLINE, and guides on input data, run parameters, and installing/running STREAMLINE in different modes. youtube.com/playlist?list=… Cedars-Sinai Academic Medicine Dept. of Biostatistics, Epidemiology & Informatics

A nice article on the National AI Campus and and Cedars AI Campus Program we are currently running to engage participants in AI training and practical experience as a pipeline into the field. Cedars-Sinai Academic Medicine #MachineLearning #ArtificialIntelligence cedars-sinai.org/newsroom/natio…

Check out our new AI Campus @ Cedars webpage! cedars.nationalcampus.ai Learn about the program, find educational materials, and learn about hands on projects for learning how to apply #MachineLearning and #ArtificialIntelligence in medicine. Cedars-Sinai Academic Medicine #DataScience #Medicine

Attn #healthtech #medtech innovators - apply for up to $200k #zeroequity for #ai #agetech #aging pilot projects at the a2PilotAwards.ai – The a2 Collective | a2PilotAwards.ai aims to improve the health + quality of life for older adults. Apply between 3.1-4.30.24 at: a2collective.ai/pilotawards

Attn Cedars-Sinai Accelerator #healthtech #medtech, innovators - apply for up to $200k #zeroequity for #ai #agetech #aging pilot projects at the a2PilotAwards.ai – Apply between 3.1-4.30.24 at: a2collective.ai/pilotawards

Harsh Bandhey is presenting today at Evostar - our lab's most recent algorithmic work on 'FIBERS' an evolutionary algorithm designed to optimize risk factor 'bins' that stratify right-censored survival data into risk groups. #MachineLearning github.com/UrbsLab/scikit…

Check out our new opinion piece on advancing #LGBTQ+ inclusion in #STEM #education and #artificialintelligence. Cedars-Sinai Academic Medicine cell.com/patterns/fullt…

Announcing special issue on ‘XCS’ rule-based #MachineLearning in the Evolutionary Computation Journal. The XCS learning classifier system is now 30 years old - proposed before XAI and RL became 'hot topics' in #ArtificialIntelligence. Details at link: direct.mit.edu/evco

New introductory video lecture on the basics of #HLA #immunology towards research in tissue #transplantation by our collaborator Dr. Nicholas Brown (UPenn). Related to our lab's #MachineLearning research in developing FIBERS (github.com/UrbsLab/scikit…). youtube.com/watch?v=PU3XNs…

Kicking off GECCO 2025 with Una-May O'Reilly and Hemburg' s tutorial on using LLMs for evolutionary search

Thanks to the GECCO 2025 community for the best paper award for our work on interpretable rule based #MachineLearning in survival data analysis. Jason H. Moore, PhD Alexa Woodward and Harsh Bandhey. Stiff competition with the other fantastic best paper nominations!

A great ending GECCO 2025 keynote from Una-May O'Reilly on coevolution! Thanks for the kind shout-out to those working on real-world applications!

Video of our recent GECCO 2025 talk on "Survival-LCS: A Rule-based #MachineLearning Approach to Survival Analysis". Awarded best paper in the Evolutionary Machine Learning Track. youtu.be/FfvFdBWlJG0 Jason H. Moore, PhD, Alexa Woodward, Harsh Bandhey Cedars-Sinai Academic Medicine Dept. of Biostatistics, Epidemiology & Informatics

My colleague Dennis Hazelett wrote this interesting piece on procrastination and making progress in scientific #writing. #phdlife nature.com/articles/s4158…

The URBS-Lab is seeking a #postdoctoral researcher with strong experience in scientific writing, programming, algorithm development/evaluation, and #machinelearning, #artificial_intelligence , #datascience, and/or #statistics in general. careers.cshs.org/job/california…

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