Cancer Research
A curated collection of scholarly reviews and key research articles on cancer cell biology. This compilation offers insights into significant discoveries in cancer genomes over the last 15 years and introduces major genomic data resources, including contributions from two leading consortia, the most extensive data portal, and two prominent single-cell cancer databases. It serves as an essential resource for statisticians focused on developing methods for oncology data analysis.
Electronic Health Records (EHR)
This list offers a collection of research papers, books, and repositories focused on Electronic Health Records (EHR), covering topics from data preparation for real-world evidence to advanced analysis using statistics and machine learning. The papers/books/repositories range from practical guides on using informatics technologies to theoretical approaches in data analytics.
Genetics
This collection provides deep insights into advanced genetic research, encompassing topics from genome-wide association studies to the integration of genomics with proteomics. It includes detailed analyses of rare genetic variants, the development of polygenic risk scores, and studies on gene expression across various health and disease states. Each paper is connected to significant study population data resources, such as the UK Biobank and the All of Us Research Program, crucial for investigating genetic variations across extensive populations.
Medical Imaging
A collection of scholarly review articles dedicated to the exploration and advancement of medical imaging preprocessing methods. It provides a comprehensive overview of the latest methodologies, theoretical challenges, and practical applications in the field, serving as a critical resource for researchers, clinicians, and students interested in medical imaging and neuroscientific analysis.
Microbiome and Metagenomics
This collection delves into the microbiome and metagenomics, examining their profound impacts on health and disease. It covers a broad spectrum of topics including the microbiota-gut-brain axis, the role of the microbiome in aging and cancer, and the use of metagenomic techniques in personalized medicine. These articles enhance our understanding of microbial communities' influence on human health and highlight potential therapeutic and diagnostic breakthroughs.
LLM Overview
Large Language Models
- LLM Techniques & Architectures
- Designing Trustworthy LLMs Read More
- LLM-Empowered Statistical Analysis
This section focuses on the development, applications, and challenges of Large Language Models (LLMs) with an emphasis on their implications for statistical research and practice.
AI Safety, Privacy, and Fairness
Safety & Trustworthiness
- Algorithmic Fairness & Bias
- Privacy & Differential Privacy
- Aligning AI with Human Values
- AI Safety
Unsolved Problems & Philosophical Challenges
Beyond LLMs, this section focuses on general AI safety, algorithmic fairness, and trustworthiness—fields where statisticians can make significant contributions.
Artificial General Intelligence
AGI and AI Agents
This section captures the latest frontier of AGI and the explosion of developments in AI agents. The section also provides a foundational understanding of AI research and applications, suitable for statisticians new to the field.