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Applications of AI in Healthcare: From EHR to Imaging - CGSI 2024
1 review

Explore AI applications in healthcare, from electronic health records to medical imaging. Discover how deep learning enhances tumor identification, stroke detection, and depression prediction.
- YouTube
- 41 minutes
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Models and Methods for Spatial Transcriptomics - CGSI 2023
1 review

Explore models and methods for spatial transcriptomics, focusing on alignment, integration, and modeling of gene expression variation in spatially resolved data.
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A Practical Guide to Performing Genome-Wide Analyses of Tandem Repeats

Explore genome-wide tandem repeat analysis techniques. Learn practical tools and methods for identifying, profiling, and interpreting repetitive DNA sequences across entire genomes.
- YouTube
- 43 minutes
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Distance-Based Phylogenetics: Past, Present, and Future - CGSI 2022

Explore distance-based phylogenetics' evolution, from theoretical foundations to cutting-edge applications in ecological sample identification and deep learning for phylogenetic placement.
- YouTube
- 43 minutes
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Alignment, Integration, and Modeling of Spatial Transcriptomics Data

Explore alignment, integration, and modeling techniques for spatial transcriptomics data, focusing on innovative approaches to analyze gene expression patterns in tissue samples.
- YouTube
- 43 minutes
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Bayesian Inference of Dependent Population Dynamics in Coalescent Models

Explore Bayesian inference techniques for analyzing dependent population dynamics in coalescent models, focusing on applications in genomics and evolutionary biology.
- YouTube
- 37 minutes
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Computational Deconvolution of Cancer Genomes and Transcriptomes - CGSI 2022

Explore computational methods for deconvoluting cancer genomes and transcriptomes. Learn advanced techniques to analyze tumor heterogeneity and uncover molecular phenotypes shaping clinical outcomes in cancer research.
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Recent Progress Towards Petabase-Scale Genomics

Explore recent advancements in petabase-scale genomics, focusing on efficient whole-genome assembly techniques and large-scale sequence alignment for viral discovery.
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Integrating -omic Data Across Datasets and Layers

Explore techniques for integrating -omic data across datasets and layers, focusing on redundancy, neural networks, and genetic associations in cancer research.
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Sardinia Population History and Complex Trait Variation - CGSI 2022

Explore Sardinia's unique genetic history and its impact on complex trait variation, uncovering insights into population dynamics, selection, and disease risk.
- YouTube
- 39 minutes
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Strategies for Integrating Deep Learning with Current Biomedical Research

Explore strategies for integrating deep learning in biomedical research, focusing on automated identification of clinical features from medical imaging and prediction of disease progression.
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- 19 minutes
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Fairness and Equity in Machine Learning for Healthcare

Explore fairness and equity in healthcare ML, addressing bias, challenges, and innovative solutions for equitable outcomes in medical applications and large language models.
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Empirical Bayes and Its Applications: Shrinkage, Hypothesis Testing, and More

Explore Empirical Bayes methods for shrinkage, hypothesis testing, and genomic studies. Learn statistical techniques to estimate and test effects in multiple conditions.
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- 46 minutes
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AI Models in Reproductive Medicine - CGSI 2024

Explore AI applications in reproductive medicine, focusing on predictive modeling for embryo selection and personalized fertility treatments. Learn about cutting-edge research and future directions.
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Synthetic Data in Medical Imaging: Are We There Yet?

Explore synthetic data's potential and challenges in medical imaging, focusing on recent advancements and future prospects for improved healthcare applications.
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